System and method for secure cloud-based physiological data processing and delivery

Information

  • Patent Grant
  • 11213237
  • Patent Number
    11,213,237
  • Date Filed
    Friday, December 14, 2018
    5 years ago
  • Date Issued
    Tuesday, January 4, 2022
    2 years ago
Abstract
Electronic medical records (EMRs) with the results of the monitoring can be stored in a cloud-computing environment. All communications with the cloud-computing environment are performed via a secure connection. Each of the EMRs can be associated with an identifier that is provided with the results of the monitoring data. The EMRs can be created, viewed, and modified using a mobile application. The mobile application can use a scanner in the mobile device on which the application executes to obtain an identifier and uses the identifier to direct actions of the user towards the appropriate EMR. The mobile application can further provide additional user access verification. Alerts can further be provided through the mobile application. The mobile application deletes from the mobile device all information that has been transmitted or received from the cloud-computing environment once the information is no longer used.
Description
FIELD

This application relates in general to electrocardiography and, in particular, to a system and method for secure cloud-based physiological data processing and delivery.


BACKGROUND

The first electrocardiogram (ECG) was invented by a Dutch physiologist, Willem Einthoven, in 1903, who used a string galvanometer to measure the electrical activity of the heart. Generations of physicians around the world have since used ECGs, in various forms, to diagnose heart problems and other potential medical concerns. Although the basic principles underlying Dr. Einthoven's original work, including his naming of various waveform deflections (Einthoven's triangle), are still applicable today, ECG machines have evolved from his original three-lead ECG, to ECGs with unipolar leads connected to a central reference terminal starting in 1934, to augmented unipolar leads beginning in 1942, and finally to the 12-lead ECG standardized by the American Heart Association in 1954 and still in use today. Further advances in portability and computerized interpretation have been made, yet the electronic design of the ECG recording apparatuses has remained fundamentally the same for much of the past 40 years.


Essentially, an ECG measures the electrical signals emitted by the heart as generated by the propagation of the action potentials that trigger depolarization of heart fibers. Physiologically, transmembrane ionic currents are generated within the heart during cardiac activation and recovery sequences. Cardiac depolarization originates high in the right atrium in the sinoatrial (SA) node before spreading leftward towards the left atrium and inferiorly towards the atrioventricular (AV) node. After a delay occasioned by the AV node, the depolarization impulse transits the Bundle of His and moves into the right and left bundle branches and Purkinje fibers to activate the right and left ventricles.


During each cardiac cycle, the ionic currents create an electrical field in and around the heart that can be detected by ECG electrodes placed on the skin. Cardiac electrical activity is then visually represented in an ECG trace by PQRSTU-waveforms. The P-wave represents atrial electrical activity, and the QRSTU components represent ventricular electrical activity. Specifically, a P-wave represents atrial depolarization, which causes atrial contraction.


P-wave analysis based on ECG monitoring is critical to accurate cardiac rhythm diagnosis and focuses on localizing the sites of origin and pathways of arrhythmic conditions. P-wave analysis is also used in the diagnosis of other medical disorders, including imbalance of blood chemistry. Cardiac arrhythmias are defined by the morphology of P-waves and their relationship to QRS intervals. For instance, atrial fibrillation (AF), an abnormally rapid heart rhythm, can be confirmed by the presence of erratic atrial activity or the absence of distinct P-waves and an irregular ventricular rate. Atrial flutter can be diagnosed with characteristic “sawtooth” P-waves often occurring twice for each QRS wave. Some congenital supraventricular tachycardias, like AV node re-entry and atrioventricular reentrant tachycardia using a concealed bypass tract, are characterized by an inverted P-wave occurring shortly after the QRS wave. Similarly, sinoatrial block is characterized by a delay in the onset of P-waves, while junctional rhythm, an abnormal heart rhythm resulting from impulses coming from a locus of tissue in the area of the AV node, usually presents without P-waves or with inverted P-waves within or shortly before or after the QRS wave. Also, the amplitudes of P-waves are valuable for diagnosis. The presence of broad, notched P-waves can indicate left atrial enlargement or disease. Conversely, the presence of tall, peaked P-waves, especially in the initial half, can indicate right atrial enlargement. Finally, P-waves with increased amplitude can indicate hypokalemia, caused by low blood potassium, whereas P-waves with decreased amplitude can indicate hyperkalemia, caused by elevated blood potassium.


Cardiac rhythm disorders may present with lightheadedness, fainting, chest pain, hypoxia, syncope, palpitations, and congestive heart failure (CHF), yet rhythm disorders are often sporadic in occurrence and may not show up in-clinic during a conventional 12-second ECG. Some atrial rhythm disorders, like atrial fibrillation, are known to cause stroke, even when intermittent. Continuous ECG monitoring with P-wave-centric action potential acquisition over an extended period is more apt to capture sporadic cardiac events that can be specifically identified and diagnosed. However, recording sufficient ECG and related physiological data over an extended period remains a significant challenge, despite an over 40-year history of ambulatory ECG monitoring efforts combined with no appreciable improvement in P-wave acquisition techniques since Dr. Einthoven's original pioneering work over a 110 years ago.


Electrocardiographic monitoring over an extended period provides a physician with the kinds of data essential to identifying the underlying cause of sporadic cardiac conditions, especially rhythm disorders, and other physiological events of potential concern. A 30-day observation period is considered the “gold standard” of monitoring by some, yet a 14-day observation period is currently deemed more achievable by conventional ECG monitoring approaches. Realizing a 30-day observation period has proven unworkable with existing ECG monitoring systems, which are arduous to employ; cumbersome, uncomfortable and not user-friendly to the patient; and costly to manufacture and deploy. An intractable problem is the inability to have the monitoring electrodes adhere to the skin for periods of time exceeding 5-14 days, let alone 30 days. Still, if a patient's ECG could be recorded in an ambulatory setting over a prolonged time periods, particularly for more than 14 days, the chances of acquiring meaningful medical information and capturing an abnormal event while the patient is engaged in normal activities are greatly improved.


The location of the atria and their low amplitude, low frequency content electrical signals make P-waves difficult to sense, particularly through ambulatory ECG monitoring. The atria are located either immediately behind the mid sternum (upper anterior right atrium) or posteriorly within the chest (left atrium), and their physical distance from the skin surface, especially when standard ECG monitoring locations are used, adversely affects current strength and signal fidelity. Cardiac electrical potentials measured from the classical dermal locations have an amplitude of only one-percent of the amplitude of transmembrane electrical potentials. The distance between the heart and ECG electrodes reduces the magnitude of electrical potentials in proportion to the square of change in distance, which compounds the problem of sensing low amplitude P-waves. Moreover, the tissues and structures that lie between the activation regions within the heart and the body's surface further attenuate the cardiac electrical field due to changes in the electrical resistivity of adjacent tissues. Thus, surface electrical potentials, when even capable of being accurately detected, are smoothed over in aspect and bear only a general spatial relationship to actual underlying cardiac events, thereby complicating diagnosis. Conventional 12-lead ECGs attempt to compensate for weak P-wave signals by monitoring the heart from multiple perspectives and angles, while conventional ambulatory ECGs primarily focus on monitoring higher amplitude ventricular activity, i.e., the R-wave that, comparatively, can be readily sensed. Both approaches are relatively unsatisfactory with respect to the P-wave and related need for the accurate acquisition of the P and R-wave medically actionable data of the myriad cardiac rhythm disorders that exist.


Additionally, maintaining continual contact between ECG electrodes and the skin after a day or two of ambulatory ECG monitoring has been a problem. Time, dirt, moisture, and other environmental contaminants, as well as perspiration, skin oil, and dead skin cells from the patient's body, can get between an ECG electrode's non-conductive adhesive and the skin's surface. These factors adversely affect electrode adhesion which in turn adversely affects the quality of cardiac signal recordings. Furthermore, the physical movements of the patient and their clothing impart various compressional, tensile, bending, and torsional forces on the contact point of an ECG electrode, especially over long recording times, and an inflexibly fastened ECG electrode will be prone to becoming dislodged or unattached. Moreover, subtle dislodgment may occur and be unbeknownst to the patient, making the ECG recordings worthless. Further, some patients may have skin that is susceptible to itching or irritation, and the wearing of ECG electrodes can aggravate such skin conditions. Thus, a patient may want or need to periodically remove or replace ECG electrodes during a long-term ECG monitoring period, whether to replace a dislodged electrode, reestablish better adhesion, alleviate itching or irritation, allow for cleansing of the skin, allow for showering and exercise, or for other purpose. Such replacement or slight alteration in electrode location actually facilitates the goal of recording the ECG signal for long periods of time.


Conventionally, multi-week or multi-month monitoring can be performed by implantable ECG monitors, such as the Reveal LINQ insertable cardiac monitor, manufactured by Medtronic, Inc., Minneapolis, Minn. This monitor can detect and record paroxysmal or asymptomatic arrhythmias for up to three years. However, like all forms of implantable medical device (IMD), use of this monitor requires invasive surgical implantation, which significantly increases costs; requires ongoing follow up by a physician throughout the period of implantation; requires specialized equipment to retrieve monitoring data; and carries complications attendant to all surgery, including risks of infection, injury or death. Finally, such devices do not necessarily avoid the problem of signal noise and recording high quality signals.


Holter monitors are widely used for ambulatory ECG monitoring. Typically, they are used for only 24-48 hours. A typical Holter monitor is a wearable and portable version of an ECG that includes cables for each electrode placed on the skin and a separate battery-powered ECG recorder. The leads are placed in the anterior thoracic region in a manner similar to what is done with an in-clinic standard ECG machine using electrode locations that are not specifically intended for optimal P-wave capture but more to identify events in the ventricles by capturing the R-wave. The duration of monitoring depends on the sensing and storage capabilities of the monitor. A “looping” Holter (or event) monitor can operate for a longer period of time by overwriting older ECG tracings, thence “recycling” storage in favor of extended operation, yet at the risk of losing event data. Although capable of extended ECG monitoring, Holter monitors are cumbersome, expensive and typically only available by medical prescription, which limits their usability. Further, the skill required to properly place the electrodes on the patient's chest precludes a patient from replacing or removing the sensing leads and usually involves moving the patient from the physician office to a specialized center within the hospital or clinic.


Further, in addition to ECG signal acquisition and processing, significant challenges exist in regards to the storage of the results of acquisition, processing of such results, and making such results quickly available to only authorized parties, such as the patient's physician. Multiple laws govern the safeguarding of electronic patient records. For example, in the United States, the governing law includes Health Insurance Portability and Accountability Act (HIPAA) while in the European Union the law includes the European Union's Data Protection Directive. In particular, such laws, and HIPAA in particular, focus protection on individually identifiable health information, information that can be tied to a particular patient. Such patient identifying information can include information on the patient's physical or mental health, provision of care to the patient, payment for provision of health care, and identifying information such as name, address, birth date, and social security number. Disclosure of such information in breach of the applicable laws can incur significant penalties. Considering that the disclosure can happen through ways as diverse as a hack of a database containing the records, personnel error, and loss of access information for the database, significant potential for an illegal disclosure exists with conventional record storage techniques.


The potential for an unauthorized disclosure of patient health information increases as the information is transmitted between multiple parties during the course of processing, storage, and use of the results of a cardiac monitoring. For example, the protected health information may be exchanged between computing devices of the patient, the physician who ordered the cardiac monitoring for the patient, and the personnel that set up the patient's electronic medical records, and the protected health information may be vulnerable to theft both during storage (such as due to presence of malware) on these devices and the transmission between the devices. In addition, the protected health information is commonly shared with at least one third party, such as an Independent Diagnostic Testing Facilities (“IDTF”). IDTFs are routinely used in cardiology, as well as other branches of medicine, to evaluate monitoring results, allowing to decrease the time necessary for the evaluation and allowing the physician to other tasks. By providing the monitoring results to an IDTF for interpretation, any protected health information in the monitoring results becomes can be vulnerable to interception during both transmission to the IDTF and storage on the IDTF computer system. Thus, currently, the increase in the processing time of monitoring results is offset by the decrease in security of patient's data. Further, as the number of users authorized to access the patient's health information grows, the burden to authenticate the identity of these users similarly increases.


Finally, as the number of parties contributing to a patient's medical records increases, the potential for the contributed information to be misplaced or misattributed to a different patient also increases. Thus, if the patient's medical records are identified by the patient's name, a misspelling of the patient's name in data intended for the patient's medical records can prevent matching patient-related information to the patient's medical records or even result in the data being stored for a different patient with a similar name. Likewise, if a different identifier is used for the medical records, a misspelling of the identifier can still result in a misattribution of data intended for a patient's medical records.


Accordingly, there is a need for a convenient way to securely upload and exchange ECG monitoring results between the multiple parties involved in data acquisition, processing and use.


A further need remains for a low cost extended wear continuously recording ECG monitor attuned to capturing low amplitude cardiac action potential propagation for arrhythmia diagnosis, particularly atrial activation P-waves, and practicably capable of being worn for a long period of time, especially in patient's whose breast anatomy or size can interfere with signal quality in both women and men.


SUMMARY

Physiological monitoring can be provided through a lightweight wearable monitor that includes two components, a flexible extended wear electrode patch and a reusable monitor recorder that removably snaps into a receptacle on the electrode patch. The wearable monitor sits centrally (in the midline) on the patient's chest along the sternum oriented top-to-bottom. The ECG electrodes on the electrode patch are tailored to be positioned axially along the midline of the sternum for capturing action potential propagation in an orientation that corresponds to the aVF lead used in a conventional 12-lead ECG that is used to sense positive or upright P-waves. The placement of the wearable monitor in a location at the sternal midline (or immediately to either side of the sternum), with its unique narrow “hourglass”-like shape, significantly improves the ability of the wearable monitor to cutaneously sense cardiac electrical potential signals, particularly the P-wave (or atrial activity) and, to a lesser extent, the QRS interval signals indicating ventricular activity in the ECG waveforms.


Moreover, the electrocardiography monitor offers superior patient comfort, convenience and user-friendliness. The electrode patch is specifically designed for ease of use by a patient (or caregiver); assistance by professional medical personnel is not required. The patient is free to replace the electrode patch at any time and need not wait for a doctor's appointment to have a new electrode patch placed. Patients can easily be taught to find the familiar physical landmarks on the body necessary for proper placement of the electrode patch. Empowering patients with the knowledge to place the electrode patch in the right place ensures that the ECG electrodes will be correctly positioned on the skin, no matter the number of times that the electrode patch is replaced. In addition, the monitor recorder operates automatically and the patient only need snap the monitor recorder into place on the electrode patch to initiate ECG monitoring. Thus, the synergistic combination of the electrode patch and monitor recorder makes the use of the electrocardiography monitor a reliable and virtually foolproof way to monitor a patient's ECG and physiology for an extended, or even open-ended, period of time.


The foregoing aspects enhance ECG monitoring performance and quality by facilitating long-term ECG recording, which is critical to accurate arrhythmia and cardiac rhythm disorder diagnoses.


The monitoring patch is especially suited to the female anatomy, although also easily used over the male sternum. The narrow longitudinal midsection can fit nicely within the inter-mammary cleft of the breasts without inducing discomfort, whereas conventional patch electrodes are wide and, if adhered between the breasts, would cause chafing, irritation, discomfort, and annoyance, leading to low patient compliance.


In addition, the foregoing aspects enhance comfort in women (and certain men), but not irritation of the breasts, by placing the monitoring patch in the best location possible for optimizing the recording of cardiac signals from the atrium, particularly P-waves, which is another feature critical to proper arrhythmia and cardiac rhythm disorder diagnoses.


Electronic medical records (EMRs) with the results of the monitoring can be stored in a cloud-computing environment. All communications with the cloud-computing environment are performed via a secure connection to protect the data, including communications with any IDTFs that perform an over-read of the results of the monitoring. Each of the EMRs can be associated with an identifier that is provided with the results of the monitoring data and that is also associated with a monitoring patch used for the monitoring. The EMRs can be created, viewed, and modified using a mobile application that provides a quick, secure, and convenient access to the EMRs. The mobile application can use a scanner in the mobile device on which the application executes to obtain the identifier associated from with a particular monitoring patch, such as from a barcode on a label that is issued with the patch or included as part of the patch, and uses the identifier to direct actions of the user towards the appropriate EMR, thus reducing a possibility of error that can occur if the identifier is misspelled when manually input. The mobile application can further provide additional user access authentication, such as by acquiring a biometric feature of the user through the mobile device on which the application executes, and using the biometric feature to confirm the user identity. Alerts can further be provided through the mobile application, helping to speed up the actions of the parties involved in the monitoring interpretation and patient treatment. The mobile application deletes from the mobile device on which the application executes any information that has been transmitted or received from the cloud-computing environment once the information is no longer used, thus reducing the risk that an unauthorized disclosure of such information occurs.


In one embodiment, a system and method for secure cloud-based physiological data processing and delivery is provided. A secure database is maintained in a cloud-computing environment storing a plurality of electronic medical records (EMRs). One of the EMRs is created by at least one server, the at least one server is interconnected to a data communications network and coupled to the secure database, based on an input from a user one of the EMRs, the EMR associated with an identifier of a physiological monitoring device used for conducting a physiological monitoring of a patient and a physician associated with the patient. Results of the physiological monitoring performed by the monitoring device associated with the patient are received by the at least one server together with the identifier and the results are stored using the identifier in the EMR. The results of the physiological monitoring are provided by the at least one server over a secure connection via the data communication network to a processing console. A report comprising an interpretation of the physiological monitoring is received by the at least one server over a further secure connection from the processing console, and the report is stored in the EMR by the at least one server. The physician is alerted by the at least one server upon the receipt of the report via a mobile application executing on a mobile device associated with the physician over the data communication network.


Still other embodiments of the present invention will become readily apparent to those skilled in the art from the following detailed description, wherein are described embodiments by way of illustrating the best mode contemplated for carrying out the invention. As will be realized, the invention is capable of other and different embodiments and its several details are capable of modifications in various obvious respects, all without departing from the spirit and the scope of the present invention. Accordingly, the drawings and detailed description are to be regarded as illustrative in nature and not as restrictive.





BRIEF DESCRIPTION OF THE DRAWINGS


FIGS. 1 and 2 are diagrams showing, by way of examples, an extended wear electrocardiography monitor, including an extended wear electrode patch, respectively fitted to the sternal regions of a female patient and a male patient.



FIG. 3 is a front anatomical view showing, by way of illustration, the locations of the heart and lungs within the rib cage of an adult human.



FIG. 4 is a diagram showing a monitor patch label that can be used to create, access, and modify electronic medical records with results of a physiological monitoring, in accordance with one embodiment.



FIG. 5 is a perspective view showing an extended wear electrode patch with a monitor recorder inserted.



FIG. 6 is a perspective view showing the monitor recorder of FIG. 5.



FIG. 7 is a perspective view showing the extended wear electrode patch of FIG. 5 without a monitor recorder inserted.



FIG. 8 is a bottom plan view of the monitor recorder of FIG. 5.



FIG. 9 is a top view showing the flexible circuit of the extended wear electrode patch of FIG. 5 when mounted above the flexible backing.



FIG. 10 is a functional block diagram showing the component architecture of the circuitry of the monitor recorder of FIG. 5.



FIG. 11 is a functional block diagram showing the signal processing functionality of the microcontroller in accordance with one embodiment.



FIG. 12 is a functional block diagram showing the circuitry of the extended wear electrode patch of FIG. 5.



FIG. 13 is a schematic diagram showing the ECG front end circuit of the circuitry of the monitor recorder of FIG. 10 in accordance with one embodiment.



FIG. 14 is a flow diagram showing a monitor recorder-implemented method for monitoring ECG data for use in the monitor recorder of FIG. 5.



FIG. 15 is a graph showing, by way of example, a typical ECG waveform.



FIG. 16 is a functional block diagram showing a system for secure cloud-based physiological data processing and delivery in accordance with one embodiment.



FIG. 17 is a functional diagram showing a method for secure cloud-based physiological data processing and delivery in accordance with one embodiment.



FIG. 18 is a flow diagram showing a routine for performing an over-read of the monitoring data in accordance with one embodiment for use in the method of FIG. 17.



FIG. 19 is a functional block diagram showing operations performed by the download station in accordance with one embodiment.



FIG. 20 is a flow diagram showing a method for offloading and converting ECG and other physiological data from an extended wear electrocardiography and physiological sensor monitor in accordance with one embodiment.





DETAILED DESCRIPTION

Physiological monitoring can be provided through a wearable monitor that includes two components, a flexible extended wear electrode patch and a removable reusable monitor recorder. Both the electrode patch and the monitor recorder are optimized to capture electrical signals from the propagation of low amplitude, relatively low frequency content cardiac action potentials, particularly the P-waves generated during atrial activation. FIGS. 1 and 2 are diagrams showing, by way of example, an extended wear electrocardiography and physiological sensor monitor 12, including a monitor recorder 14 in accordance with one embodiment, respectively fitted to the sternal region of a female patient 10 and a male patient 11. The wearable monitor 12 sits centrally (in the midline) on the patient's chest along the sternum 13 oriented top-to-bottom with the monitor recorder 14 preferably situated towards the patient's head. In a further embodiment, the orientation of the wearable monitor 12 can be corrected post-monitoring, as further described infra. The electrode patch 15 is shaped to fit comfortably and conformal to the contours of the patient's chest approximately centered on the sternal midline 16 (or immediately to either side of the sternum 13). The distal end of the electrode patch 15 extends towards the Xiphoid process and, depending upon the patient's build, may straddle the region over the Xiphoid process. The proximal end of the electrode patch 15, located under the monitor recorder 14, is below the manubrium and, depending upon patient's build, may straddle the region over the manubrium.


During ECG monitoring, the amplitude and strength of action potentials sensed on the body's surface are affected to varying degrees by cardiac, cellular, extracellular, vector of current flow, and physical factors, like obesity, dermatitis, large breasts, and high impedance skin, as can occur in dark-skinned individuals. Sensing along the sternal midline 16 (or immediately to either side of the sternum 13) significantly improves the ability of the wearable monitor 12 to cutaneously sense cardiac electric signals, particularly the P-wave (or atrial activity) and, to a lesser extent, the QRS interval signals in the ECG waveforms that indicate ventricular activity by countering some of the effects of these factors.


The ability to sense low amplitude, low frequency content body surface potentials is directly related to the location of ECG electrodes on the skin's surface and the ability of the sensing circuitry to capture these electrical signals. FIG. 3 is a front anatomical view showing, by way of illustration, the locations of the heart 4 and lungs 5 within the rib cage of an adult human. Depending upon their placement locations on the chest, ECG electrodes may be separated from activation regions within the heart 4 by differing combinations of internal tissues and body structures, including heart muscle, intracardiac blood, the pericardium, intrathoracic blood and fluids, the lungs 5, skeletal muscle, bone structure, subcutaneous fat, and the skin, plus any contaminants present between the skin's surface and electrode signal pickups. The degree of amplitude degradation of cardiac transmembrane potentials increases with the number of tissue boundaries between the heart 4 and the skin's surface that are encountered. The cardiac electrical field is degraded each time the transmembrane potentials encounter a physical boundary separating adjoining tissues due to differences in the respective tissues' electrical resistances. In addition, other non-spatial factors, such as pericardial effusion, emphysema or fluid accumulation in the lungs, as further explained infra, can further degrade body surface potentials.


Internal tissues and body structures can adversely affect the current strength and signal fidelity of all body surface potentials, yet low amplitude cardiac action potentials, particularly the P-wave with a normative amplitude of less than 0.25 microvolts (mV) and a normative duration of less than 120 milliseconds (ms), are most apt to be negatively impacted. The atria 6 are generally located posteriorly within the thoracic cavity (with the exception of the anterior right atrium and right atrial appendage), and, physically, the left atrium constitutes the portion of the heart 4 furthest away from the surface of the skin on the anterior chest. Conversely, the ventricles 7, which generate larger amplitude signals, generally are located anteriorly with the anterior right ventricle and most of the left ventricle situated relatively close to the skin surface on the anterior chest, which contributes to the relatively stronger amplitudes of ventricular waveforms. Thus, the quality of P-waves (and other already-low amplitude action potential signals) is more susceptible to weakening from intervening tissues and structures than the waveforms associated with ventricular activation.


The importance of the positioning of ECG electrodes along the sternal midline 15 has largely been overlooked by conventional approaches to ECG monitoring, in part due to the inability of their sensing circuitry to reliably detect low amplitude, low frequency content electrical signals, particularly in P-waves. In turn, that inability to keenly sense P-waves has motivated ECG electrode placement in other non-sternal midline thoracic locations, where the QRSTU components of the ECG that represent ventricular electrical activity are more readily detectable by their sensing circuitry than P-waves. In addition, ECG electrode placement along the sternal midline 15 presents major patient wearability challenges, such as fitting a monitoring ensemble within the narrow confines of the inter-mammary cleft between the breasts, that to large extent drive physical packaging concerns, which can be incompatible with ECG monitors intended for placement, say, in the upper pectoral region or other non-sternal midline thoracic locations. In contrast, the wearable monitor 12 uses an electrode patch 15 that is specifically intended for extended wear placement in a location at the sternal midline 16 (or immediately to either side of the sternum 13). When combined with a monitor recorder 14 that uses sensing circuitry optimized to preserve the characteristics of low amplitude cardiac action potentials, especially those signals from the atria, as further described infra with reference to FIG. 13, the electrode patch 15 helps to significantly improve atrial activation (P-wave) sensing through placement in a body location that robustly minimizes the effects of tissue and body structure.


Referring back to FIGS. 1 and 2, the placement of the wearable monitor 12 in the region of the sternal midline 13 puts the ECG electrodes of the electrode patch 15 in locations better adapted to sensing and recording low amplitude cardiac action potentials during atrial propagation (P-wave signals) than placement in other locations, such as the upper left pectoral region, as commonly seen in most conventional ambulatory ECG monitors. The sternum 13 overlies the right atrium of the heart 4. As a result, action potential signals have to travel through fewer layers of tissue and structure to reach the ECG electrodes of the electrode patch 15 on the body's surface along the sternal midline 13 when compared to other monitoring locations, a distinction that is of critical importance when capturing low frequency content electrical signals, such as P-waves.


Moreover, cardiac action potential propagation travels simultaneously along a north-to-south and right-to-left vector, beginning high in the right atrium and ultimately ending in the posterior and lateral region of the left ventricle. Cardiac depolarization originates high in the right atrium in the SA node before concurrently spreading leftward towards the left atrium and inferiorly towards the AV node. The ECG electrodes of the electrode patch 15 are placed with the upper or superior pole (ECG electrode) along the sternal midline 13 beneath the manubrium and the lower or inferior pole (ECG electrode) along the sternal midline 13 in the region of the Xiphoid process 9 and lower sternum. The ECG electrodes are placed primarily in a head-to-foot orientation along the sternum 13 that corresponds to the head-to-foot waveform vector exhibited during atrial activation. This orientation corresponds to the aVF lead used in a conventional 12-lead ECG that is used to sense positive or upright P-waves.


Furthermore, the thoracic region underlying the sternum 13 along the midline 16 between the manubrium 8 and Xiphoid process 9 is relatively free of lung tissue, musculature, and other internal body structures that could occlude the electrical signal path between the heart 4, particularly the atria, and ECG electrodes placed on the surface of the skin. Fewer obstructions means that cardiac electrical potentials encounter fewer boundaries between different tissues. As a result, when compared to other thoracic ECG sensing locations, the cardiac electrical field is less altered when sensed dermally along the sternal midline 13. As well, the proximity of the sternal midline 16 to the ventricles 7 facilitates sensing of right ventricular activity and provides superior recordation of the QRS interval, again, in part due to the relatively clear electrical path between the heart 4 and the skin surface.


Finally, non-spatial factors can affect transmembrane action potential shape and conductivity. For instance, myocardial ischemia, an acute cardiac condition, can cause a transient increase in blood perfusion in the lungs 5. The perfused blood can significantly increase electrical resistance across the lungs 5 and therefore degrade transmission of the cardiac electrical field to the skin's surface. However, the placement of the wearable monitor 12 along the sternal midline 16 in the inter-mammary cleft between the breasts is relatively resilient to the adverse effects to cardiac action potential degradation caused by ischemic conditions as the body surface potentials from a location relatively clear of underlying lung tissue and fat help compensate for the loss of signal amplitude and content. The monitor recorder 14 is thus able to record the P-wave morphology that may be compromised by myocardial ischemia and therefore make diagnosis of the specific arrhythmias that can be associated with myocardial ischemia more difficult.


The placement of the wearable monitor 12 in a location at the sternal midline 16 (or immediately to either side of the sternum 13) significantly improves the ability of the wearable monitor 12 to cutaneously sense cardiac electric signals, particularly the P-wave (or atrial activity) and, to a lesser extent, the QRS interval signals in the ECG waveforms that indicate ventricular activity, while simultaneously facilitating comfortable long-term wear for many weeks. The sternum 13 overlies the right atrium of the heart and the placement of the wearable monitor 12 in the region of the sternal midline 13 puts the ECG electrodes of the electrode patch 15 in a location better adapted to sensing and recording P-wave signals than other placement locations, say, the upper left pectoral region or lateral thoracic region or the limb leads. In addition, placing the lower or inferior pole (ECG electrode) of the electrode patch 15 over (or near) the Xiphoid process facilitates sensing of ventricular activity and provides excellent recordation of the QRS interval as the Xiphoid process overlies the apical region of the ventricles.


At least one component of the monitor 12 can be associated with at an identifier, such as a serial number, though other kinds of numerical, alphabetical, and alphanumerical identifiers are also possible. Still other kinds of identifiers are also possible. As described below, the identifiers of the patch are associated with results of the monitoring performed using that patch 15 and are used to store and access the results. FIG. 4 is a diagram showing a monitor patch label 200 that can be used to create, access, and modify electronic medical records with results of a physiological monitoring, in accordance with one embodiment. The label can be given to a patient and other authorized parties upon a dispatch of the monitor 12 to the patient. In addition to, or alternatively to, being given to a patient, the label 200 can also be attached to the patch 15 in a position that allows the label 200 to be scanned when the patch 12 is attached to the patient.


The label 200 includes the identifier 201 associated with at least one component of the monitor 12. In a further embodiment, the identifier 201 can be located on the patch 15 used in the monitoring, such as on a sticker. For example, as described further below, the identifier 201 can be encoded on the patch 15 and combined with the data collected by the monitor recorder 14 through the patch 15. Thus, if multiple patches 15 are dispensed to the patient, multiple labels 200 with multiple identifiers 201 will be issued to the patient 10, 11 and other authorized parties. As the patches 15 do not get reused after a monitoring, the monitoring results of different patients will have different identifiers 201 associated with them even if they were obtained using the same monitor recorder 14. While the identifier 201 is shown to have eight components with reference to FIG. 4, other numbers of components are possible.


The label 200 further includes a password 202, also referred to as an access token 202 in the description below that is also necessary to access the monitoring results. The password 202 can be based on the identifier 202 associated with the patch 15. For example, the password 202 can include a cryptographic hash of at least a portion of the identifier 201 combined with other digits or numbers. The encryption of the identifier 201 can be performed using any suitable encryption hashing function, such as MDS, though other kinds of functions can also be used. In one embodiment, only a portion of the identifier 201, such as 2-3 bytes, are used to create the hash. In a further embodiment, the entire identifier 201 is used to create the hash. The numbers with which the hash can be combined to generate the password can be pseudorandomly generated numbers, though other kinds of numbers are possible. Other kinds of passwords 202 are possible. In one embodiment, the password 202 can be composed of 10 digits; other numbers of digits are possible. Still other kinds of the passwords 202 are possible.


In one embodiment, the label 200 can further include a website address 203, such as a url, that the party in possession of the label 200 can use to access the Electronic Medical Records (EMR) that include the monitoring results and other data related to the results, as further described below. With all three pieces of information on the label 201, the patient 10, 11 or another authorized party could visit the website identified by the address 203, and after entering the identifier 201 and the password 202, access the website EMRs, as further described below with reference to FIG. 16. In a further embodiment, the patient cannot independently access the results of the monitoring and receives the results from the physician who ordered the monitoring.


Similarly, as further described below, medical personnel can use a mobile application executable on a mobile device to scan the identifier 201 and the password 202 from the label 202 and access an interface that allows to set-up the EMRs in which the results of the monitoring will be stored. Likewise, a physician of the patient can access the EMRs 51 via scanning the label 205 with the clinician's mobile device 301, and optionally provide additional authentication, such as a scan of the clinician's fingerprint obtained through the mobile device. Other uses of the label 201 are possible.


The label 200 can include the identifier 201 and the password 202 in multiple forms, including more than one form at the same time. In one embodiment, the label 201 can include a barcode 204(?) that has encoded the identifier 201, the password 202, and optionally, the website address 203. In one embodiment, the barcode 204 can be a QR code, though other kinds of barcodes are possible, with the mobile application including applicable barcode recognition software. In a further embodiment, the mobile application can extract the identifier 201 and the password 202 from the label 200 when the identifier 201 and the password 202 are in plain text on the label 200. Regardless of the kind of representation of the identifier 201 and the password 202 on the label 200, the label 200 can be scanned by a mobile application of a party authorized to create, modify, or view the patient's 10, 11 medical records, with the mobile application extracts the identifier 201 and the password 202 from the scanned representation and uses the identifier 201 and the password 202 with any action taken towards the electronic medical records, thus preventing a misspelling of the identifier 201 that could lead to an action on a medical record of a different patient.


The identifier 201 and the password 202 are also included with the data collected by the monitor 12. During use, the electrode patch 15 is first adhesed to the skin along the sternal midline 16 (or immediately to either side of the sternum 13). A monitor recorder 14 is then snapped into place on the electrode patch 15 to initiate ECG monitoring. FIG. 5 is a perspective view showing an extended wear electrode patch 15 with a monitor recorder 14 in accordance with one embodiment inserted. The body of the electrode patch 15 is preferably constructed using a flexible backing 220 formed as an elongated strip 221 of wrap knit or similar stretchable material with a narrow longitudinal mid-section 223 evenly tapering inward from both sides. A pair of cut-outs 222 between the distal and proximal ends of the electrode patch 15 create a narrow longitudinal midsection 223 or “isthmus” and defines an elongated “hourglass”-like shape, when viewed from above. The upper part of the “hourglass” is sized to allow an electrically non-conductive receptacle 225, sits on top of the outward-facing surface of the electrode patch 15, to be affixed to the electrode patch 15 with an ECG electrode placed underneath on the patient-facing underside, or contact, surface of the electrode patch 15; the upper part of the “hourglass” has a longer and wider profile (but still rounded and tapered to fit comfortably between the breasts) than the lower part of the “hourglass,” which is sized primarily to allow just the placement of an ECG electrode of appropriate shape and surface area to record the P-wave and the QRS signals sufficiently given the inter-electrode spacing.


The electrode patch 15 incorporates features that significantly improve wearability, performance, and patient comfort throughout an extended monitoring period. During wear, the electrode patch 15 is susceptible to pushing, pulling, and torqueing movements, including compressional and torsional forces when the patient bends forward, and tensile and torsional forces when the patient leans backwards. To counter these stress forces, the electrode patch 15 incorporates strain and crimp reliefs, such as described in commonly-assigned U.S. Pat. No. 9,545,204, issued Jan. 17, 2017, the disclosure of which is incorporated by reference. In addition, the cut-outs 222 and longitudinal midsection 223 help minimize interference with and discomfort to breast tissue, particularly in women (and gynecomastic men). The cut-outs 222 and longitudinal midsection 223 further allow better conformity of the electrode patch 15 to sternal bowing and to the narrow isthmus of flat skin that can occur along the bottom of the intermammary cleft between the breasts, especially in buxom women. The cut-outs 222 and longitudinal midsection 223 help the electrode patch 15 fit nicely between a pair of female breasts in the intermammary cleft. Still other shapes, cut-outs and conformities to the electrode patch 15 are possible.


The monitor recorder 14 removably and reusably snaps into an electrically non-conductive receptacle 225 during use. The monitor recorder 14 contains electronic circuitry for recording and storing the patient's electrocardiography as sensed via a pair of ECG electrodes provided on the electrode patch 15, such as described in commonly-assigned U.S. Pat. No. 9,730,593, issued Aug. 15, 2017, the disclosure which is incorporated by reference. The non-conductive receptacle 225 is provided on the top surface of the flexible backing 220 with a retention catch 226 and tension clip 227 molded into the non-conductive receptacle 225 to conformably receive and securely hold the monitor recorder 14 in place.


The monitor recorder 14 includes a sealed housing that snaps into place in the non-conductive receptacle 225. FIG. 6 is a perspective view showing the monitor recorder 14 of FIG. 5. The sealed housing 250 of the monitor recorder 14 intentionally has a rounded isosceles trapezoidal-like shape 252, when viewed from above, such as described in commonly-assigned U.S. Design Pat. No. D717,955, issued Nov. 18, 2014, the disclosure of which is incorporated by reference. In addition, a label, barcode, QR code, or other visible or electronic indicia, such as the identifier 201, is printed on the outside of, applied to the outside of, or integrated into the sealed housing 250 to uniquely identify the monitor recorder 14 and can include a serial number, manufacturing lot number, date of manufacture, and so forth. The edges 251 along the top and bottom surfaces are rounded for patient comfort. The sealed housing 250 is approximately 47 mm long, 23 mm wide at the widest point, and 7 mm high, excluding a patient-operable tactile-feedback button 255. The sealed housing 250 can be molded out of polycarbonate, ABS, or an alloy of those two materials. The button 255 is waterproof and the button's top outer surface is molded silicon rubber or similar soft pliable material. A retention detent 253 and tension detent 254 are molded along the edges of the top surface of the housing 250 to respectively engage the retention catch 226 and the tension clip 227 molded into non-conductive receptacle 225. Other shapes, features, and conformities of the sealed housing 250 are possible.


As mentioned above, the electrode patch 15 is intended to be disposable. The monitor recorder 14, however, is reusable and can be transferred to successive electrode patches 15 to ensure continuity of monitoring. The placement of the wearable monitor 12 in a location at the sternal midline 16 (or immediately to either side of the sternum 13) benefits long-term extended wear by removing the requirement that ECG electrodes be continually placed in the same spots on the skin throughout the monitoring period. Instead, the patient is free to place an electrode patch 15 anywhere within the general region of the sternum 13.


As a result, at any point during ECG monitoring, the patient's skin is able to recover from the wearing of an electrode patch 15, which increases patient comfort and satisfaction, while the monitor recorder 14 ensures ECG monitoring continuity with minimal effort. A monitor recorder 14 is merely unsnapped from a worn out electrode patch 15, the worn out electrode patch 15 is removed from the skin, a new electrode patch 15 is adhered to the skin, possibly in a new spot immediately adjacent to the earlier location, and the same monitor recorder 14 is snapped into the new electrode patch 15 to reinitiate and continue the ECG monitoring.


During use, the electrode patch 15 is first adhered to the skin in the sternal region. FIG. 7 is a perspective view showing the extended wear electrode patch 15 of FIG. 5 without a monitor recorder 14 inserted. A flexible circuit 232 is adhered to each end of the flexible backing 20. A distal circuit trace 233 and a proximal circuit trace (not shown) electrically couple ECG electrodes (not shown) to a pair of electrical pads 234. The electrical pads 234 are provided within a moisture-resistant seal 235 formed on the bottom surface of the non-conductive receptacle 225. When the monitor recorder 14 is securely received into the non-conductive receptacle 225, that is, snapped into place, the electrical pads 234 interface to electrical contacts (not shown) protruding from the bottom surface of the monitor recorder 14, and the moisture-resistant seal 235 enables the monitor recorder 14 to be worn at all times, even during bathing or other activities that could expose the monitor recorder 14 to moisture.


In addition, a battery compartment 236 is formed on the bottom surface of the non-conductive receptacle 225, and a pair of battery leads (not shown) electrically interface the battery to another pair of the electrical pads 234. The battery contained within the battery compartment 235 can be replaceable, rechargeable or disposable.


The monitor recorder 14 draws power externally from the battery provided in the non-conductive receptacle 225, thereby uniquely obviating the need for the monitor recorder 14 to carry a dedicated power source. FIG. 8 is a bottom plan view of the monitor recorder 14 of FIG. 5. A cavity 258 is formed on the bottom surface of the sealed housing 250 to accommodate the upward projection of the battery compartment 236 from the bottom surface of the non-conductive receptacle 225, when the monitor recorder 14 is secured in place on the non-conductive receptacle 225. A set of electrical contacts 256 protrude from the bottom surface of the sealed housing 250 and are arranged in alignment with the electrical pads 234 provided on the bottom surface of the non-conductive receptacle 225 to establish electrical connections between the electrode patch 15 and the monitor recorder 14. In addition, a seal coupling 257 circumferentially surrounds the set of electrical contacts 256 and securely mates with the moisture-resistant seal 235 formed on the bottom surface of the non-conductive receptacle 225.


The placement of the flexible backing 220 on the sternal midline 16 (or immediately to either side of the sternum 13) also helps to minimize the side-to-side movement of the wearable monitor 12 in the left- and right-handed directions during wear. To counter the dislodgment of the flexible backing 220 due to compressional and torsional forces, a layer of non-irritating adhesive, such as hydrocolloid, is provided at least partially on the underside, or contact, surface of the flexible backing 20, but only on the distal end 230 and the proximal end 231. As a result, the underside, or contact surface of the longitudinal midsection 223 does not have an adhesive layer and remains free to move relative to the skin. Thus, the longitudinal midsection 223 forms a crimp relief that respectively facilitates compression and twisting of the flexible backing 220 in response to compressional and torsional forces. Other forms of flexible backing crimp reliefs are possible.


Unlike the flexible backing 20, the flexible circuit 232 is only able to bend and cannot stretch in a planar direction. The flexible circuit 232 can be provided either above or below the flexible backing 20. FIG. 9 is a top view showing the flexible circuit 232 of the extended wear electrode patch 15 of FIG. 5 when mounted above the flexible backing 20. A distal ECG electrode 238 and proximal ECG electrode 239 are respectively coupled to the distal and proximal ends of the flexible circuit 232. A strain relief 240 is defined in the flexible circuit 232 at a location that is partially underneath the battery compartment 236 when the flexible circuit 232 is affixed to the flexible backing 20. The strain relief 240 is laterally extendable to counter dislodgment of the ECG electrodes 238, 239 due to tensile and torsional forces. A pair of strain relief cutouts 241 partially extend transversely from each opposite side of the flexible circuit 232 and continue longitudinally towards each other to define in ‘S’-shaped pattern, when viewed from above. The strain relief respectively facilitates longitudinal extension and twisting of the flexible circuit 232 in response to tensile and torsional forces. Other forms of circuit board strain relief are possible. Other forms of the patch 15 are also possible. For example, in a further embodiment, the distal and proximal circuit traces are replaced with interlaced or sewn-in flexible wires, as further described in commonly-assigned U.S. Pat. No. 9,717,432, issued Aug. 1, 2017, the disclosure of which is incorporated by reference.


ECG monitoring and other functions performed by the monitor recorder 14 are provided through a micro controlled architecture. FIG. 10 is a functional block diagram showing the component architecture of the circuitry 260 of the monitor recorder 14 of FIG. 5. The circuitry 260 is externally powered through a battery provided in the non-conductive receptacle 225 (shown in FIG. 6). Both power and raw ECG signals, which originate in the pair of ECG electrodes 238, 239 (shown in FIG. 9) on the distal and proximal ends of the electrode patch 15, are received through an external connector 265 that mates with a corresponding physical connector on the electrode patch 15. The external connector 265 includes the set of electrical contacts 256 that protrude from the bottom surface of the sealed housing 250 and which physically and electrically interface with the set of pads 234 provided on the bottom surface of the non-conductive receptacle 225. The external connector includes electrical contacts 256 for data download, microcontroller communications, power, analog inputs, and a peripheral expansion port. The arrangement of the pins on the electrical connector 265 of the monitor recorder 14 and the device into which the monitor recorder 14 is attached, whether an electrode patch 15 or download station (not shown), follow the same electrical pin assignment convention to facilitate interoperability. The external connector 265 also serves as a physical interface to a download station that permits the retrieval of stored ECG monitoring data, communication with the monitor recorder 14, and performance of other functions.


Operation of the circuitry 260 of the monitor recorder 14 is managed by a microcontroller 261. The microcontroller 261 includes a program memory unit containing internal flash memory that is readable and writeable. The internal flash memory can also be programmed externally. The microcontroller 261 draws power externally from the battery provided on the electrode patch 15 via a pair of the electrical contacts 256. The microcontroller 261 connects to the ECG front end circuit 263 that measures raw cutaneous electrical signals and generates an analog ECG signal representative of the electrical activity of the patient's heart over time.


The microcontroller 261 operates under modular micro program control as specified in firmware, and the program control includes processing of the analog ECG signal output by the ECG front end circuit 263. FIG. 11 is a functional block diagram showing the signal processing functionality 170 of the microcontroller 261 in accordance with one embodiment. The microcontroller 261 operates under modular micro program control as specified in firmware 172. The firmware modules 172 include high and low pass filtering 173, and compression 174. Other modules are possible. The microcontroller 261 has a built-in ADC, although ADC functionality could also be provided in the firmware 172.


The ECG front end circuit 263 first outputs an analog ECG signal, which the ADC 171 acquires, samples and converts into an uncompressed digital representation. The microcontroller 261 includes one or more firmware modules 173 that perform filtering. In one embodiment, a high pass smoothing filter is used for the filtering; other filters and combinations of high pass and low pass filters are possible in a further embodiment. Following filtering, the digital representation of the cardiac activation wave front amplitudes are compressed by a compression module 174 before being written out to storage 175.


The circuitry 260 of the monitor recorder 14 also includes a flash memory 262, which the microcontroller 261 uses for storing ECG monitoring data and other physiology and information. The data is stored in the memory 262 together with the identifier 201 associated with the patch 15 and the password 202, which are obtained from the patch 15 as further described below. The flash memory 262 also draws power externally from the battery provided on the electrode patch 15 via a pair of the electrical contacts 256. Data is stored in a serial flash memory circuit, which supports read, erase and program operations over a communications bus. The flash memory 262 enables the microcontroller 261 to store digitized ECG data. The communications bus further enables the flash memory 262 to be directly accessed externally over the external connector 265 when the monitor recorder 14 is interfaced to a download station.


The circuitry 260 of the monitor recorder 14 further includes an actigraphy sensor 264 implemented as a 3-axis accelerometer. The accelerometer may be configured to generate interrupt signals to the microcontroller 261 by independent initial wake up and free fall events, as well as by device position. In addition, the actigraphy provided by the accelerometer can be used during post-monitoring analysis to correct the orientation of the monitor recorder 14 if, for instance, the monitor recorder 14 has been inadvertently installed upside down, that is, with the monitor recorder 14 oriented on the electrode patch 15 towards the patient's feet, as well as for other event occurrence analyses, such as described in commonly-assigned U.S. Pat. No. 9,737,224, issued Aug. 22, 2017, the disclosure of which is incorporated by reference.


The circuitry 260 of the monitor recorder 14 includes a wireless transceiver 269 that can provides wireless interfacing capabilities. The wireless transceiver 269 also draws power externally from the battery provided on the electrode patch 15 via a pair of the electrical contacts 256. The wireless transceiver 269 can be implemented using one or more forms of wireless communications, including the IEEE 280 2.11 computer communications standard, that is Wi-Fi; the 4G mobile phone mobile standard; the Bluetooth® data exchange standard; or other wireless communications or data exchange standards and protocols. For example, the wireless transceiver 69 can be implemented using the Bluetooth® 4.0 standard, allowing to conserve power, or Bluetooth® 4.2 standards, allowing the transceiver 69 to have at least some capabilities of a cellular phone, as further described in the commonly-assigned U.S. patent application entitled “Contact-Activated Extended Wear Electrocardiography and Physiological Sensor Monitor Recorder,” Ser. No. 14/656,615, filed Mar. 12, 2015, pending, the disclosure of which is incorporated by reference.


The microcontroller 261 includes an expansion port that also utilizes the communications bus. External devices, separately drawing power externally from the battery provided on the electrode patch 15 or other source, can interface to the microcontroller 261 over the expansion port in half duplex mode. For instance, an external physiology sensor can be provided as part of the circuitry 260 of the monitor recorder 14, or can be provided on the electrode patch 15 with communication with the microcontroller 261 provided over one of the electrical contacts 256. The physiology sensor can include an SpO2 sensor, blood pressure sensor, temperature sensor, respiratory rate sensor, glucose sensor, airflow sensor, volumetric pressure sensing, or other types of sensor or telemetric input sources. For instance, the integration of an airflow sensor is described in commonly-assigned U.S. Pat. No. 9,364,155, issued Jun. 14, 2016, the disclosure which is incorporated by reference.


Finally, the circuitry 260 of the monitor recorder 14 includes patient-interfaceable components, including a tactile feedback button 266, which a patient can press to mark events or to perform other functions, and a buzzer 267, such as a speaker, magnetic resonator or piezoelectric buzzer. The buzzer 267 can be used by the microcontroller 261 to output feedback to a patient such as to confirm power up and initiation of ECG monitoring. Still other components as part of the circuitry 260 of the monitor recorder 14 are possible.


While the monitor recorder 14 operates under micro control, most of the electrical components of the electrode patch 15 operate passively. FIG. 12 is a functional block diagram showing the circuitry 270 of the extended wear electrode patch 15 of FIG. 4. The circuitry 270 of the electrode patch 15 is electrically coupled with the circuitry 260 of the monitor recorder 14 through an external connector 274. The external connector 274 is terminated through the set of pads 234 provided on the bottom of the non-conductive receptacle 225, which electrically mate to corresponding electrical contacts 256 protruding from the bottom surface of the sealed housing 250 to electrically interface the monitor recorder 14 to the electrode patch 15.


The circuitry 270 of the electrode patch 15 performs three primary functions. First, a battery 271 is provided in a battery compartment formed on the bottom surface of the non-conductive receptacle 225. The battery 271 is electrically interfaced to the circuitry 260 of the monitor recorder 14 as a source of external power. The unique provisioning of the battery 271 on the electrode patch 15 provides several advantages. First, the locating of the battery 271 physically on the electrode patch 15 lowers the center of gravity of the overall wearable monitor 12 and thereby helps to minimize shear forces and the effects of movements of the patient and clothing. Moreover, the housing 250 of the monitor recorder 14 is sealed against moisture and providing power externally avoids having to either periodically open the housing 250 for the battery replacement, which also creates the potential for moisture intrusion and human error, or to recharge the battery, which can potentially take the monitor recorder 14 off line for hours at a time. In addition, the electrode patch 15 is intended to be disposable, while the monitor recorder 14 is a reusable component. Each time that the electrode patch 15 is replaced, a fresh battery is provided for the use of the monitor recorder 14, which enhances ECG monitoring performance quality and duration of use. Finally, the architecture of the monitor recorder 14 is open, in that other physiology sensors or components can be added by virtue of the expansion port of the microcontroller 261. Requiring those additional sensors or components to draw power from a source external to the monitor recorder 14 keeps power considerations independent of the monitor recorder 14. Thus, a battery of higher capacity could be introduced when needed to support the additional sensors or components without effecting the monitor recorders circuitry 260.


Second, the pair of ECG electrodes 238, 239 respectively provided on the distal and proximal ends of the flexible circuit 232 are electrically coupled to the set of pads 234 provided on the bottom of the non-conductive receptacle 225 by way of their respective circuit traces 233, 237. The signal ECG electrode 239 includes a protection circuit 272, which is an inline resistor that protects the patient from excessive leakage current.


Last, the circuitry 270 of the electrode patch 15 includes a cryptographic circuit 273 that stores an encoded password 202 for accessing data collecting using this patch 15. The password 202 is encrypted using the secret key 203 to prevent an unauthorized party from obtaining the password 202 once the patch 15 is discarded by the patient. The password 202 is encrypted using a secret key of which the micro-controller 261 has a copy. Thus, only the micro-controller 261 can interface with the cryptographic circuit 273 to obtain the password 202 and decode the password 202 using the secret key, which can be stored in the memory 262. The cryptographic circuit can further store the identifier 201 associated with that patch and the identifier 201 can also be retrieved by the micro-controller 261. In one embodiment, the identifier 201 can be encrypted; in a further embodiment, the identifier 201 can be unencrypted.


In a further embodiment, the cryptographic circuit 73 could be used to authenticate an electrode patch 15 for use with a monitor recorder 14. The cryptographic circuit 273 includes a device capable of secure authentication and validation. The cryptographic device 273 ensures that only genuine, non-expired, safe, and authenticated electrode patches 15 are permitted to provide monitoring data to a monitor recorder 14, such as described in commonly-assigned U.S. Pat. No. 9,655,538, issued May 23, 2017, the disclosure which is incorporated by reference.


The ECG front end circuit 263 measures raw cutaneous electrical signals using a driven reference that effectively reduces common mode noise, power supply noise and system noise, which is critical to preserving the characteristics of low amplitude cardiac action potentials, especially those signals from the atria. FIG. 13 is a schematic diagram 280 showing the ECG front end circuit 263 of the circuitry 260 of the monitor recorder 14 of FIG. 9 in accordance with one embodiment. The ECG front end circuit 263 senses body surface potentials through a signal lead (“S1”) and reference lead (“REF”) that are respectively connected to the ECG electrodes of the electrode patch 15. Power is provided to the ECG front end circuit 263 through a pair of DC power leads (“VCC” and “GND”). An analog ECG signal (“ECG”) representative of the electrical activity of the patient's heart over time is output, which the micro controller 11 converts to digital representation and filters, as further described infra.


The ECG front end circuit 263 is organized into five stages, a passive input filter stage 281, a unity gain voltage follower stage 282, a passive high pass filtering stage 283, a voltage amplification and active filtering stage 284, and an anti-aliasing passive filter stage 285, plus a reference generator. Each of these stages and the reference generator will now be described.


The passive input filter stage 281 includes the parasitic impedance of the ECG electrodes 238, 239 (shown in FIG. 12), the protection resistor that is included as part of the protection circuit 272 of the ECG electrode 239 (shown in FIG. 12), an AC coupling capacitor 287, a termination resistor 288, and filter capacitor 289. This stage passively shifts the frequency response poles downward there is a high electrode impedance from the patient on the signal lead S1 and reference lead REF, which reduces high frequency noise.


The unity gain voltage follower stage 282 provides a unity voltage gain that allows current amplification by an Operational Amplifier (“Op Amp”) 290. In this stage, the voltage stays the same as the input, but more current is available to feed additional stages. This configuration allows a very high input impedance, so as not to disrupt the body surface potentials or the filtering effect of the previous stage.


The passive high pass filtering stage 283 is a high pass filter that removes baseline wander and any offset generated from the previous stage. Adding an AC coupling capacitor 291 after the Op Amp 290 allows the use of lower cost components, while increasing signal fidelity.


The voltage amplification and active filtering stage 284 amplifies the voltage of the input signal through Op Amp 291, while applying a low pass filter. The DC bias of the input signal is automatically centered in the highest performance input region of the Op Amp 291 because of the AC coupling capacitor 291.


The anti-aliasing passive filter stage 285 provides an anti-aliasing low pass filter. When the microcontroller 261 acquires a sample of the analog input signal, a disruption in the signal occurs as a sample and hold capacitor that is internal to the microcontroller 261 is charged to supply signal for acquisition.


The reference generator in subcircuit 286 drives a driven reference containing power supply noise and system noise to the reference lead REF. A coupling capacitor 287 is included on the signal lead S1 and a pair of resistors 293a, 293b inject system noise into the reference lead REF. The reference generator is connected directly to the patient, thereby avoiding the thermal noise of the protection resistor that is included as part of the protection circuit 272.


In contrast, conventional ECG lead configurations try to balance signal and reference lead connections. The conventional approach suffers from the introduction of differential thermal noise, lower input common mode rejection, increased power supply noise, increased system noise, and differential voltages between the patient reference and the reference used on the device that can obscure, at times, extremely, low amplitude body surface potentials.


Here, the parasitic impedance of the ECG electrodes 238, 239, the protection resistor that is included as part of the protection circuit 272 and the coupling capacitor 287 allow the reference lead REF to be connected directly to the skin's surface without any further components. As a result, the differential thermal noise problem caused by pairing protection resistors to signal and reference leads, as used in conventional approaches, is avoided.


In a further embodiment, the circuitry 270 of the electrode patch 15 includes a wireless transceiver 275, in lieu the including of the wireless transceiver 269 in the circuitry 260 of the monitor recorder 14, which interfaces with the microcontroller 261 over the microcontroller's expansion port via the external connector 274. Similarly to the wireless transceiver 269, the wireless transceiver 275 can be implemented using a standard that allows to conserve battery power, such as the Bluetooth® 4.0 standard, though other standards are possible. Further, similarly to the wireless transceiver 269, the wireless transceiver 275 can be implemented using a standard that allows the transceiver 275 to act have cellular phone capabilities, such as the Bluetooth® 4.2 standard.


The monitor recorder 14 continuously monitors the patient's heart rate and physiology. FIG. 14 is a flow diagram showing a monitor recorder-implemented method 100 for monitoring ECG data for use in the monitor recorder 14 of FIG. 4. Initially, upon being connected to the set of pads 234 provided with the non-conductive receptacle 225 when the monitor recorder 14 is snapped into place, the microcontroller 261 executes a power up sequence (step 101). During the power up sequence, the voltage of the battery 271 is checked, the state of the flash memory 262 is confirmed, and both in terms of operability check and available capacity, and microcontroller operation is diagnostically confirmed. In a further embodiment, an authentication procedure between the microcontroller 261 and the electrode patch 15 are also performed.


The micro-controller 61 retrieves and, as necessary, decodes the password 202 and the identifier 201 associated with the electrode patch 15 (step 102). Subsequent physiological data obtained using the patch 15 is stored in the memory 262 with the password 202 and the identifier in plaintext, unencrypted, form.


Following satisfactory completion of the power up sequence and the decoding, an iterative processing loop (steps 103-112) is continually executed by the microcontroller 261. During each iteration (step 103) of the processing loop, the ECG front end 263 (shown in FIGS. 9 and 15) continually senses the cutaneous ECG electrical signals (step 104) via the ECG electrodes 238, 239 and is optimized to maintain the integrity of the P-wave. A sample of the ECG signal is read (step 105) by the microcontroller 261 by sampling the analog ECG signal output front end 263. FIG. 15 is a graph showing, by way of example, a typical ECG waveform 190. The x-axis represents time in approximate units of tenths of a second. The y-axis represents cutaneous electrical signal strength in approximate units of millivolts. The P-wave 191 has a smooth, normally upward, that is, positive, waveform that indicates atrial depolarization. The QRS complex usually begins with the downward deflection of a Q wave 192, followed by a larger upward deflection of an R-wave 193, and terminated with a downward waveform of the S wave 194, collectively representative of ventricular depolarization. The T wave 195 is normally a modest upward waveform, representative of ventricular depolarization, while the U wave 196, often not directly observable, indicates the recovery period of the Purkinje conduction fibers.


Sampling of the R-to-R interval enables heart rate information derivation. For instance, the R-to-R interval represents the ventricular rate and rhythm, while the P-to-P interval represents the atrial rate and rhythm. Importantly, the PR interval is indicative of atrioventricular (AV) conduction time and abnormalities in the PR interval can reveal underlying heart disorders, thus representing another reason why the P-wave quality achievable by the extended wear ambulatory electrocardiography and physiological sensor monitor described herein is medically unique and important. The long-term observation of these ECG indicia, as provided through extended wear of the wearable monitor 12, provides valuable insights to the patient's cardiac function and overall well-being.


Returning to FIG. 14, in a further embodiment, the monitor recorder 14 also continuously receives data from wearable physiology monitors or activity sensor, such as described in commonly-assigned U.S. Pat. No. 10,165,946, issued Jan. 1, 2019, the disclosure of which is incorporated by reference. Optionally, If wireless data is available (step 106), a sample of the wireless is read (step 107) by the microcontroller 61. If wireless data is not available (step 106), the method 100 moves to step 108.


Each sampled ECG signal, in quantized and digitized form, is temporarily staged in buffer (step 108), pending compression preparatory to storage in the flash memory 262 (step 109). If wireless data sample was read in step 106, the wireless data sample, in quantized and digitized form, is temporarily staged in the buffer (step 108), pending compression preparatory to storage in the flash memory 62 (step 109). Following compression, the compressed ECG digitized sample, and if present, the wireless data sample, is again buffered (step 110), then written to the flash memory 262 (step 111) using the communications bus. Processing continues (step 112), so long as the monitoring recorder 14 remains connected to the electrode patch 15 (and storage space remains available in the flash memory 262), after which the processing loop is exited and execution terminates. Still other operations and steps are possible. In a further embodiment, the reading and storage of the wireless data takes place, in a conceptually-separate execution thread, such as described in commonly-assigned U.S. Pat. No. 10,165,946, issued Jan. 1, 2019, to Bardy et al., the disclosure of which is incorporated by reference.


Once ECG data is collected by the monitor 12, the data can undergo various kinds of processing. In particular, the ECG data can undergo additional filtering to further remove noise. For the example, the data can optionally be filtered under a guidance


The data obtained from the monitor 12, and optionally, pre-processed, can be securely retrieved, stored, and accessed by multiple authorized parties in a cloud-computing environment. FIG. 16 is a functional block diagram showing a system 40 for secure cloud-based physiological data processing and delivery in accordance with one embodiment.


The system 40 includes the monitor 12, which can offload data in a number of ways. Prior to being used to perform physiological monitoring, the recorder 14 and the patch 15 can be programmed using a programming wand 207. In particular, the wand 207 can generate the password 202 for an identifier 201 and load the identifier 201 and the password into the patch 15. In one embodiment, the wand can generate the identifier 201; in a further embodiment, the identifier 201 can be preloaded into the patch 15. The wand 207 also loads the secret key used to decode the password 202 into the monitor recorder 14. The wand 207 can interface with the recorder 14 and the patch 15 wirelessly, such as through the wireless transceivers 269 and 275. In a further embodiment, the wand 207 can interface with the recorder 14 and the patch 15 through wired connections. The wand 207 can include a wireless transceiver and can wirelessly interface with the servers 54. For example, after loading an identifier 201 and the password 201 into the patch 15, the wand 207 can wirelessly send a report to the servers 54 of what identifier 201 has been used and the password 202 generated for that identifier 201. The servers 54 can keep track of whether data for the identifier has been received.


In one embodiment, the wand 207 can be used to program any number of patches 15 and recorders 14. In a further embodiment, the wand 207 can be configured to need recalibration after a preset number of uses.


As mentioned above, one of the options for offloading data from the monitor 12 can offload data to a download station 44, as further described below with reference to FIGS. 19 and 20. The monitor 12 has a set of electrical contacts (not shown) that enable the monitor recorder 14 to physically interface to a set of terminals 45 on a paired receptacle 46 of the download station 44. In turn, the download station 44 can execute a communications or offload program 47 (“Offload”) or similar program that interacts with the monitor recorder 14 via the physical interface to retrieve the stored ECG monitoring data. When offloading the data off the monitor recorder, the identifier 201 and the decoded password 202 are included at the beginning of the stream of data that the monitor recorder 12 transfers to the download station 44. The download station 44 could be the user device 31 or another server, such as server 54, personal computer, tablet or handheld computer, smart mobile device, or purpose-built device designed specific to the task of interfacing with a monitor 12. Still other forms of download station 44 are possible. Also, as mentioned below, the data from the monitor 12 can be offloaded wirelessly.


In a further embodiment, prior to being uploaded to the EMRs 51, additional processing can be applied to results of the monitoring. For example, the download station can execute a filtering software that allows a user to select a portion of an ECG trace created based on the results, select particular filters for application to digital signals corresponding to the selecting trace, and apply the selected filters only to that portion of the ECG trace, as further described in U.S. patent application Ser. No. 14/341,698, filed Jul. 25, 2014, abandoned, the disclosure of which is incorporated by reference.


A client-server model could be used to employ one or more servers 54 to remotely interface with the download station 44 over the network 53 and retrieve the formatted data or other information. The one or more servers 54 can be implemented in the cloud-computing environment 304. The servers 54 execute a patient management program 55 (“Mgt”) or similar application that stores the retrieved formatted data 301 and other information cataloged in that patient's EMRs 51 in the secure database 52. The secure database 52 can also be located in the cloud-computing environment 304. The EMRs 51 in the secure database 52 can be encrypted, and whenever any information from the EMR 51 is transmitted to another device, the information is transmitted in an encrypted form, with the receiving device having the keys necessary for decryption. In a further embodiment, the servers 54 and the database 52 can be dedicated servers and database.


In a further embodiment, the download station 44 could be used to transfer data from the monitor 12 to the servers 54 without involvement of the network 53. For example, following a completion of the monitoring, the patient 11 can use an envelope 206 to mail the monitor to a processing center (not shown), where information is extracted from the monitor 12 using the download station 44 directly connected to the servers 54. In a still further embodiment, the servers 54 could receive the data collected by the monitor 12 directly from the monitor 12 over a wireless connection.


The cloud-computing environment 304 can be a part of Microsoft Azure® offered by Microsoft Corporation of Redmond, Wash., though other kinds of cloud-computing environments 304 are possible. In addition, the patient management program 55 could manage a subscription service that authorizes a monitor recorder 12 to operate for a set period of time or under pre-defined operational parameters.


Modern ECG analysis tends to occur in a distributed setting, and the medical personnel interpreting the ECG trace that results from the monitoring are not in the same location as the medical personnel who make the decision regarding patient treatment. Accordingly, the servers 54 are capable of remotely interacting with one or more remote ECG processing consoles 305 over the network 53. For example, the remote console 305 can be a computing device, such as a desktop computer, a laptop computer, or a tablet, though other kinds of computing devices are also possible. The remote console 305 executes an ECG trace processing program 306, such as NorthEast Monitoring Holter LX Analysis software distributed by NorthEast Monitoring Inc. of Maynard, Mass., though other kinds of processing programs 306 are also possible. The processing console 305 can be physically located in an IDTF (not shown), and multiple IDTFs can provide the interpretation services for the EMRs 51, with each IDTF having one or more consoles 305. For example, geographically distributed IDTFs can provide around-the-clock interpretation of the monitoring results.


The servers 54 provide data 301 accumulated from the monitoring to the remote console over a secure connection via the network 53, such as via the https protocol, though other kinds of protocols are possible. In particular, the patient management program 55 can include an application programming interface (API) that securely communicates with the processing console 305. In one embodiment, the provided data 301 includes only the data retrieved from the memory of the monitor recorder 14 after undergoing on the download station described with reference to FIGS. 19 and 20 below. In a further embodiment, the retrieved data can include additional data stored in the EMRs 51, such as entries of the patient diary 303.


The servers 54 can provide the data 301 as soon as the data 301 becomes available. Alternatively, clinicians interpreting the data 301 can view contents of a particular EMR 51 over the secure connection and request the data 301 from the EMR 51 to be sent over the secure connection.


The clinician can perform an interpretation of the results 301 of the monitoring using the processing console 305 and prepare a report 307, which can include the clinician's interpretation of the monitoring data 301, including a summary of the patient's supraventricular ectopy, ventricular ectopy, ST episodes, a summary of critical events encountered during the monitoring, as well as an ECG trace representing the cardiac activity of the patient during an entirety or a portion of the monitoring. Other information can further be included into the report 307. The report 307 is prepared in a PDF format, though other formats are also possible. Once the report 307 is completed, the report 307 is provided to the servers 54 via the secure connection, and stored in the secure database 52 as part of the EMRs of the patient whose records were analyzed. Once the report 307 is stored as part of the EMRs 51, the physician responsible for treating the patient based on the monitoring can be notified of the report being uploaded, such as via the mobile application 302 running on the mobile device 301 of that physician.


Once the servers 54 receives the data 301 collected by the monitor along with the identifier 201, the server 54 stores the received data using the identifier 201 and the password 202 included with the data as part of the received medical records. If the upload happens using the download station and the servers 54 does not recognize the identifier included with the data as being associated with any of the medical records, the servers 54 can provide the user uploading the data an option to search the EMRs 51 and to find the EMR 51 associated with the patient.


The patient management program 55, or other trusted application executed by the servers 54, also maintains and safeguards the secure database 52 to limit access to patient EMRs 51 to only authorized parties for appropriate medical or other uses, such as mandated by state or federal law, such as under the HIPAA or per the European Union's Data Protection Directive. The patient management program 55 maintains several levels of access for different kinds of users with needs to create, access, and modify the EMRs. Thus, users denoted as “administrators” (though other identifications are possible) have access to create profiles of new users and groups and subgroups of users, such as groups of clinicians of a particular IDTF that can interpret a particular EMR 51, as well as subgroups within those groups based on particular traits of the physicians. Another category of users, denoted as “technicians” (though other identifications are possible, have a read-only access to the EMRs 51, and can interpret the monitoring results and provide a preliminary interpretation of the results prior to a physician providing an official medical interpretation of the results. The third category of users, “clinicians,” includes medical personnel that need to set-up EMRs 51 for a particular patient, the physician of the patient ordering the monitoring, and medical personnel at an IDTF that interpret monitoring results. Clinicians can both view, create, and modify the medical records once they are set-up. Finally, the fourth category of users are patients, who can add specific kind of data, such as entries to the patient's diary 303 associated with the monitoring, to the EMRs 51. Such diary entries 303 can include the subjective feelings of the patient experienced during the monitoring period, such as whether the patient felt dizzy or panicked at a particular time. Other kinds of users are also possible.


Each clinician may further be associated with an EMR 51 of a particular patient and be notified upon changes happening to the EMRs. For example, a physician that ordered the monitoring of a particular patient can be notified of the receipt of the report 307 by the servers 54, such as via a mobile application 302 running on the mobile device 132 of the physician. Other notifications for a physician as well as other types of users are also possible. Similarly, a clinician or a group of clinician in an IDTF responsible for performing an over-read of monitoring results 301 stored as part of a particular EMR 51 can also be associated with that EMR 51, and can be provided an alert, such as via e-mail that the monitoring results 301 have been uploaded to the EMR 51.


In a further embodiment, each user can further be associated with additional data that can be used to verify the user's identity. For example, each user can be associated with biometric data, such as a scan of the user's fingerprint, as further described below, though other kind of biometric data is also possible. The biometric data can be stored either under the control of the patient management program 55, such as in the secure database 52, or by a third party service (not shown) that performs the verification of the user's identity using the biometric data and confirms the result to the servers 54.


For ease of access to the servers 54, the users of the system 40 can employ a mobile application 302 running on the mobile devices 132 of the users to create, view, or modify an EMR 51. To prevent misspellings of the identifier 201 when trying to create, access, or modify a particular EMR, the mobile application 302 can utilize a scanner included in the mobile devices 302 to scan a label 205 with a representation of the identifier, such as the barcode 205, and extract the identifier 201 from the barcode. Any other information encoded in the barcode 205 and necessary for creation or accessing of an EMR 51, such as the password 202 associated with the identifier 202 can, further be extracted from the barcode 205. The mobile application 302 can also receive additional input from the user, either for verification of the user's identity or for creation or modification of an EMR 301. In a further embodiment, the mobile application 301 can obtain the identifier 201 and other information from other sources.


For example, a version of the application 302 running on the mobile device 301 of the patient 10, 11 allows the patient to scan the label 204 to obtain the identifier 201 and the password 202. The mobile application 302 further provides a user interface where the user can enter a diary entry 303, describing the subjective feelings the patient experienced at a particular time. The application provides the information obtained from the scan, such as the identifier 201 and the password 202, together with the diary entry 303 to the servers 54 using a secure connection over the network 53, with the patient management program 55 storing the received diary as part of one of the EMRs 51 by comparing the identifier 201 received with the diary entry 303 to the identifiers associated with each of the EMRs 51.


Similarly, the use of the mobile application 302 simplifies setting up an EMR 51 for a particular patient by medical personnel, such as a nurse issuing the monitor 12 to the patient, at the beginning of the monitoring. The version of the mobile application 302 running on the mobile device 133 of the nurse can be specifically tailored for the registration of the patient. Thus, the version of the mobile application 302 can include a user interface that allows the nurse to enter any information associated with the patient that goes into the EMRs 51, such as patient's age or health information, and the information regarding the physician ordering the monitoring. Still other information can be entered by the nurse (or other medical personnel registering the patient into the mobile application). The entry of the identifier 201 and the password 202 can either be performed by scanning the label 204 showing the barcode 205 with a scanner included in the mobile device 301 to avoid the misspelling of the information, though other ways to enter the identifier 201 and the password 202 (such as through manual entry) are also possible. Once the servers 54 receives the information, the servers 54 set up the EMRs 51 that are associated with the received identifier 201, include the entered health information and the physician information, and can be accessed using information that includes at least the identifier 201 and the password 202.


The mobile application 302 further allows a physician to review and make the change to the EMRs 51 stored in the database 52. For example, the physician can access the EMRs 51 by scanning the label 204 with the barcode 205 (or another representation of the identifier 201 and the password 202), and for additional verification, by providing biometric data, such as by scanning his or her fingerprint with the mobile phone scanner. The application 302 provides the identifier 201 and the password 202 obtained through the scan to the servers 54, and the scan of the physician's fingerprint either to the servers 54 or to a third party service that would confirm the physician's identity to the servers 54. Once his or her identity is confirmed, the physician would be able to access and modify the EMR 51 of the patient 10, 11 using the application 302.


All versions of the mobile application 302 communicate with the servers 54 via a secure connection, protecting the data being exchanged between the mobile device 132 of the user and the servers 54. In one embodiment, the secure connection can be established using the https protocol, though other kinds of secure connection protocols are also possible.


While multiple versions of the mobile application 302 exist for multiple kinds of users, no version of the mobile application 302 stores any information relating to either a patient or the patient's monitoring that is entered into application 302 once that information is either provided to the servers 54 or is not used by the user (such as when the user closes the application 302), deleting the information from the memory of the mobile device 133 on which that application executes. The deletion of the data from the mobile device 133 protects patient health information entered provided to the device from becoming compromised during storage on the device.


In one embodiment, the EMRs 51 are not associated with and the database 52 does not store any patient identifying information, such as patient's name, social security number, or date of birth, but instead uses the identifier 201 of the patch 15 used to collect data in the EMRs as the only piece of information tying the patient to the EMR 51. By excluding the patient identifying information and organizing the EMRs 51 exclusively based on the identifiers 201, the database 52 eliminates the risk of violating particular laws regarding disclosure of patient identifying information since such information is not stored. In a further embodiment, an EMR 51 can store patient identifying information 308, such as a patient name, patient birth date and hospital ID number. In that embodiment, monitoring data 301 collected using multiple patches 15 can be stored in the same EMR 51.


The database can further store a log 58 of identifiers 201 of the patches 15 that have been issued using the wand 207 and the passwords 202 that are associated with the patches 15 with the identifiers. Once the program 55 receives the directions to set-up an EMR 51 with one of the identifiers from appropriate medical personnel, such as via the mobile application 302, the program 55 can compare the identifiers 201 received from the wand 207 to the identifier 201 provided by the medical personnel as an additional check that the identifier entered by medical personnel is in fact associated with the patient prior to setting up the EMR 51 with that number.


As mentioned above, the monitor 12 can collect multiple kinds of physiological data and thus the EMRs 51 can include diverse physiological data such as samples of the electrocardiographic data, and data from other sensors of the monitor 12, such as air-flow data, actigraphy data, temperature data, though other kinds of data is possible. Further, the servers 54 can receive a filtered ECG trace processed using the application 30 on a user device and store the trace with the EMR 51 associated with the identifier 201 of the patch used to collect the ECG samples on which the trace is based.


In one embodiment, while the patient 10, 11 can enter the diary entries 303 into the data 301, the patient cannot access results of the EMR 51 directly and has to learn the outcome of the monitoring from the patient's physician or other medical personnel. In a further embodiment, the servers 54 further maintain a website where the patient 10, 11 or another authorized party can access the patient's EMRs 51. For example, the patient can use the mobile device 133 to scan the QR code 204, with the EMRs corresponding to the supplied identifier being presented on a webpage that is a part of the website through the mobile device. As mentioned above, the QR code 205 could be scanned using a separate scanner, such as a scanner (not shown) attached to the computer 50, with the website being presented through the computer 50. Other devices can also be used to access the website 133 in other ways. In a still further embodiment, the servers 54, under the control of the patient, can post some of the information on a social networking or personal medical record site (not shown) after receiving a command from the patient through a user interface provided through the website 133.


Further, the servers 54 can also implement an automated over-read program 59 that conducts an automated over-read of the ECG trace generated based on the data obtained by the monitor 12 and that stores the results of the automated over-read as part of the EMR 51. The automated over-read can be performed following the processing of the monitoring results 301 using the download station 44 described above and below as well as optionally, the ECG trace filtering software described in detail in the U.S. patent application Ser. No. 14/341,698, filed Jul. 25, 2014, abandoned, the disclosure of which is incorporated by reference. During the over-read, the program 59 compares features of the ECG trace resulting from the monitoring data 51, such as shape and position of the waves, to an ECG trace features known to be indicative of one or more conditions. For example, irregular distances between successive R waves (“R-to-R intervals”) in an ECG can be indicative of atrial fibrillation, one of the most common cardiac arrhythmias that is caused by seemingly disorganized atrial depolarizations without effective atrial contractions. By analyzing the R-to-R intervals in the ECG trace created based on the electrocardiographic signals collected by the monitor, the program 59 can detect a presence of a condition indicative of atrial fibrillation. Further, in addition to detecting of ECG characteristics indicative of the condition, the program 59 can generate a recommendation based on the detected condition. The recommendation and other results of the over-read can be stored as part of the EMRs 51 associated with the identifier 201 for the patch 15 that was used to collect the physiological data used in the over-read. In a further embodiment, the recommendation can be provided to the patient 10, 11 or another authorized party, such as the physician who ordered the monitored, as an alert.


The recommendation can depend on the duration of the detected condition. For example, if the analysis of the R-R waves indicates that the patient 10, 11 has been experiencing atrial fibrillation for more than an hour, the recommendation can be for the patient to take a dose of an appropriate medication, such as aspirin. Similarly, as prolonged atrial fibrillation can increase a risk of stroke, if the analysis of the R-R waves indicates that the patient has been experiencing atrial fibrillation for more a day or more, the recommendation can include visiting a physician for elective cardioversion prior to the likely development of an atrial clot. Other kinds of indications are possible. Still other data can be part of the EMRs 51.


The mobile application 302 can be a downloadable application, though other ways to obtain the application are also possible. The mobile device 132 can be a smartphone, a tablet, or another kind of computing device capable of executing the mobile application 302. The mobile devices 132, the console 305, and the servers 54 can include components conventionally found in programmable computing devices, such as a central processing unit, memory, input/output ports, network interfaces, and non-volatile storage, although other components are possible, and can each include one or more modules for carrying out the embodiments disclosed herein. The modules can be implemented as a computer program or procedure written as source code in a conventional programming language and that is presented for execution by the central processing unit as object or byte code. Alternatively, the modules could also be implemented in hardware, either as integrated circuitry or burned into read-only memory components, and each of the mobile devices 132, the console 305, and the servers 54 can act as a specialized computer. For instance, when the modules are implemented as hardware, that particular hardware is specialized to perform the functions described above and below and the computers without the hardware cannot be used for that purpose. The various implementations of the source code and object and byte codes can be held on a computer-readable storage medium, such as a floppy disk, hard drive, digital video disk (DVD), random access memory (RAM), read-only memory (ROM) and similar storage mediums. Other types of modules and module functions are possible, as well as other physical hardware components.



FIG. 17 is a functional diagram showing a method 310 for secure cloud-based physiological data processing and delivery in accordance with one embodiment. The method can be implemented using the system 40 of FIG. 16, though other implementations are possible. Initially, a patient is registered with the patient management program 54 (step 311), with information 308 about the patient, the clinician ordering the patient's monitoring, the identifier 201 and the password 202 associated with the monitoring being stored in the EMR 51 in the database 52. The registration can be accomplished via medical personnel using the mobile application, though other ways to perform registration are possible.


Optionally, one or more patient diary entries 303 are received by the patient management program 54 over the network 53 and stored in the EMR 51 for the monitoring (step 312). The one or more of the diary entries 303 can be received during the duration of the monitoring, such as via the patient using the mobile application 302. Alternatively, the one or more of the diary entries 303 can be made by the patient in a journal that is mailed to a processing center (not shown) along with the monitor recorder, as described above, and uploaded by the processing center to the EMR 51 associated with the monitoring via the network 53.


Upon a completion of the monitoring, physiological data 301 collected from the monitor and optionally processed by the download station, as described below with reference to FIGS. 19 and 20, is provided to the servers 54 and stored in the EMR 51 associated with the monitoring based on the identifier 201 and the password 202 and the identifier 201 and password 202 associated with the EMR 51 (step 313).


Optionally, the patient management program 55 performs an automated over-read of an ECG trace resulting from the monitoring data stored in the EMR 51, as further described above with reference to FIG. 20, and the results of the automated over-read are further stored in the EMRs (step 314).


Optionally, the clinician responsible for performing an over-read of the results of the monitoring, is provided an alert that the data has been stored as part of the EMR 51 upon a completion of step 314 (step 315). The alert can be delivered via the mobile application 302 executing on the mobile device 301 of the clinician, or through another technique, such as by sending an e-mail or an SMS message, though other ways to deliver the alert are also possible.


An over-read is performed by the interpreting clinician and the report 307 including results of the over-read are stored in the EMR 51 associated with the monitoring, as further described with reference to FIG. 24 (step 316). Once the report 307 of the over-read performed by the clinician is stored as part of the EMR 51, optionally, the physician who ordered the monitoring is notified by an alert of the report being in the EMR (step 317). The physician's access to the EMR 51 is verified, such as via the physician providing a scan of the label 200 in combination with a scan of the physician's fingerprint via the physician's mobile application, though other ways to verify the physician's permission to access the EMR 51 are also possible and the physician is provided access to the EMR 51 (step 318), allowing the physician to view and modify the EMR 51 with the data from the monitoring, including adding additional annotations to the EMR 51. Optionally, the physician annotations are received and added to the EMR 51 (step 319), ending the method 310.


The secure communication between the processing console 305 and the servers 54 allows for remote processing of results of the monitoring, which saves the doctor while at the same time protecting patient privacy. FIG. 18 is a flow diagram showing a routine 320 for performing an over-read of the monitoring data in accordance with one embodiment for use in the method of FIG. 17. A secure connection over the network 53 is established between the processing console 305 and the servers 54, and the clinician using the console provides log-in credentials to the servers 54 (step 321). Such log-in credentials can include the identifier 201 and the password 202, though other kinds of log-in credentials are possible. Optionally, if the clinician using the console 305 is authorized to access multiple EMRs 51, a list of available EMRs 51 is provided to the clinician via the console, and the clinician can select monitoring data from one of the EMRs 51 for interpretation (step 322). A file with the monitoring data is provided to reading console via the secure connection and the clinician analyzes the data using the processing software 306, preparing the report 307 (step 323). The report 307, in PDF format or another format in which data is static, is provided to the servers 54 via the secure connection (step 324) and stored in the EMR for the monitoring (step 325), ending the routine 320.


The download station 44 can include an array of filtering modules that can perform processing of collected data instead of or in addition to any user-guided processing. FIG. 19 is a functional block diagram showing operations performed by the download station in accordance with one embodiment. For instance, a set of phase distortion filtering tools 144 may be provided. The digital signals are run through the software filters in a reverse direction to remove phase distortion. For instance, a 45 Hertz high pass filter in firmware may have a matching reverse 45 Hertz high pass filter in software. Most of the phase distortion is corrected, that is, canceled to eliminate noise at the set frequency, but data at other frequencies in the waveform remain unaltered. As well, bidirectional impulse infinite response (IIR) high pass filters and reverse direction (symmetric) IIR low pass filters can be provided. Data is run through these filters first in a forward direction, then in a reverse direction, which generates a square of the response and cancels out any phase distortion. This type of signal processing is particularly helpful with improving the display of the ST-segment by removing low frequency noise.


An automatic gain control (AGC) module 145 can also be provided to adjust the digital signals to a usable level based on peak or average signal level or other metric. AGC is particularly critical to single-lead ECG monitors, where physical factors, such as the tilt of the heart, can affect the electrical field generated. On three-lead Holter monitors, the leads are oriented in vertical, horizontal and diagonal directions. As a result, the horizontal and diagonal leads may be higher amplitude and ECG interpretation will be based on one or both of the higher amplitude leads. In contrast, the electrocardiography monitor 12 has only a single lead that is oriented in the vertical direction, so variations in amplitude will be wider than available with multi-lead monitors, which have alternate leads to fall back upon.


In addition, AGC may be necessary to maintain compatibility with existing ECG interpretation software, which is typically calibrated for multi-lead ECG monitors for viewing signals over a narrow range of amplitudes. Through the AGC module 145, the gain of signals recorded by the monitor recorder 14 of the electrocardiography monitor 12 can be attenuated up (or down) to work with FDA-approved commercially available ECG interpretation.


AGC can be implemented in a fixed fashion that is uniformly applied to all signals in an ECG recording, adjusted as appropriate on a recording-by-recording basis. Typically, a fixed AGC value is calculated based on how an ECG recording is received to preserve the amplitude relationship between the signals. Alternatively, AGC can be varied dynamically throughout an ECG recording, where signals in different segments of an ECG recording are amplified up (or down) by differing amounts of gain.


Typically, the monitor recorder 14 will record a high resolution, low frequency signal for the P-wave segment. However, for some patients, the result may still be a visually small signal. Although high resolution is present, the unaided eye will normally be unable to discern the P-wave segment. Therefore, gaining the signal is critical to visually depicting P-wave detail. This technique works most efficaciously with a raw signal with low noise and high resolution, as generated by the monitor recorder 14. Automatic gain control applied to a high noise signal will only exacerbate noise content and be self-defeating.


Finally, the download station 44 can include filtering modules specifically intended to enhance P-wave content. For instance, a P-wave enhancement filter 146, which is a form of pre-emphasis filter, can be applied to the signal to restore missing frequency content or to correct phase distortion. Still other filters and types of signal processing are possible.


In addition to the processing described above, the download station 44 can also convert retrieved data into a format suitable for use by third party post-monitoring analysis software, such as the processing software 306 running on a ECG trace processing console 305 employed at an IDTF, as further described below with reference to FIGS. 19 and 20. If the download station 44 is not one of the servers 54, the formatted data can then be retrieved from the download station 44 over a hard link 48 using a control program 49 (“Ctl”) or analogous application executing on a personal computer 50 or other connectable computing device, via a communications link (not shown), whether wired or wireless, or by physical transfer of storage media (not shown). The personal computer 50 or other connectable device may also execute middleware that converts ECG data and other information into a format suitable for use by a third-party past-monitoring processing program, such the ECG trace processing software 305. Note that formatted data stored on the personal computer 50 would have to be maintained and safeguarded in the same manner as electronic medical records (EMRs) 51 in a secure database 52, as further discussed infra. In a further embodiment, the download station 44 is able to directly interface with other devices over a computer communications network 53, which could be some combination of a local area network and a wide area network, including the Internet, over a wired or wireless connection. Still other forms of download station 44 are possible. In addition, the wearable monitor 12 can interoperate with other devices, as further described in detail in commonly-assigned U.S. Pat. No. 9,433,367, issued on Sep. 6, 2016, the disclosure of which is incorporated by reference. In addition, the wearable monitor 12 is capable of interoperating wirelessly with mobile devices 132, including so-called “smartphones,” and can use the mobile devices 132 to relay collected data to other devices in the system 40, such as described in commonly-assigned U.S. Pat. No. 10,165,946, issued Jan. 1, 2019, the disclosure of which is incorporated by reference. Further, as mentioned above, the monitor 12 can include a wireless transceiver with a cellular phone capabilities, and in a further embodiment could connect directly to the network 53 and interact with other devices in the system 40, such as the server 54, the download station 44, and the mobile device 133 using the network 53.


The monitor recorder 14 stores ECG data and other information in the flash memory 262 (shown in FIG. 9) using a proprietary format that includes data compression. As a result, data retrieved from a monitor recorder 14 must first be converted into a format suitable for use by third party post-monitoring analysis software. FIG. 20 is a flow diagram showing a method 150 for offloading and converting ECG and other physiological data from a extended wear electrocardiography and physiological sensor monitor 12 in accordance with one embodiment. The method 150 can be implemented in software and execution of the software can be performed on a download station 44, which could be a programmer or other device, or a computer system, including a server 54 or personal computer 50, such as further described supra with reference to FIG. 20, as a series of process or method modules or steps. For convenience, the method 150 will be described in the context of being performed by a personal computer 50 or other connectable computing device (shown in FIG. 3) as middleware that converts ECG data and other information into a format suitable for use by a third-party post-monitoring analysis program. Execution of the method 150 by a computer system would be analogous mutatis mutandis.


Initially, the download station 44 is connected to the monitor recorder 14 (step 151), such as by physically interfacing to a set of terminals 45 on a paired receptacle 127 or by wireless connection, if available. The data stored on the monitor recorder 14, including ECG and physiological monitoring data, other recorded data, and other information are retrieved (step 152) over a hard link 48 using a control program 49 (“Ctl”) or analogous application executing on a personal computer 50 or other connectable computing device.


The data retrieved from the monitor recorder 14 is in a proprietary storage format and each datum of recorded ECG monitoring data, as well as any other physiological data or other information, must be converted, so that the data can be used by a third-party post-monitoring analysis program. Each datum of ECG monitoring data is converted by the middleware (steps 153-159) in an iterative processing loop. During each iteration (step 153), the ECG datum is read (step 154) and, if necessary, the gain of the ECG signal is adjusted (step 155) to compensate, for instance, for relocation or replacement of the electrode patch 15 during the monitoring period. Filtering described above with reference to FIG. 21 can also optionally take place during step 155.


In addition, depending upon the configuration of the wearable monitor 12, other physiological data (or other information), including patient events, such as a fall, peak activity level, sleep detection, detection of patient activity levels and states, and so on, may be recorded along with the ECG monitoring data. For instance, actigraphy data may have been sampled by the actigraphy sensor 264 based on a sensed event occurrence, such as a sudden change in orientation due to the patient taking a fall. In response, the monitor recorder 14 will embed the actigraphy data samples into the stream of data, including ECG monitoring data, that is recorded to the flash memory 262 by the microcontroller 261. Post-monitoring, the actigraphy data is temporally matched to the ECG data to provide the proper physiological context to the sensed event occurrence. As a result, the three-axis actigraphy signal is turned into an actionable event occurrence that is provided, through conversion by the middleware, to third party post-monitoring analysis programs, along with the ECG recordings contemporaneous to the event occurrence. Other types of processing of the other physiological data (or other information) are possible.


Thus, during execution of the middleware, any other physiological data (or other information) that has been embedded into the recorded ECG monitoring data is read (step 156) and time-correlated to the time frame of the ECG signals that occurred at the time that the other physiological data (or other information) was noted (step 157). Finally, the ECG datum, signal gain adjusted, if appropriate, and other physiological data, if applicable and as time-correlated, are stored in a format suitable to the backend software (step 158) used in post-monitoring analysis.


In a further embodiment, the other physiological data, if apropos, is embedded within an unused ECG track. For example, the SCP-ENG standard allows multiple ECG channels to be recorded into a single ECG record. The monitor recorder 14, though, only senses one ECG channel. The other physiological data can be stored into an additional ECG channel, which would otherwise be zero-padded or altogether omitted. The backend software would then be able to read the other physiological data in context with the single channel of ECG monitoring data recorded by the monitor recorder 14, provided the backend software implemented changes necessary to interpret the other physiological data. Still other forms of embedding of the other physiological data with formatted ECG monitoring data, or of providing the other physiological data in a separate manner, are possible.


Processing continues (step 159) for each remaining ECG datum, after which the processing loop is exited and execution terminates. Still other operations and steps are possible.


While the invention has been particularly shown and described as referenced to the embodiments thereof, those skilled in the art will understand that the foregoing and other changes in form and detail may be made therein without departing from the spirit and scope.

Claims
  • 1. A system for secure cloud-based physiological data processing and delivery, comprising: a download station comprising an electromechanical interface comprising a receptacle in which a plurality of electrical terminals are to positioned to mate with a plurality of electrical contacts on an external connector of a reusable portion of a physiological monitoring device, the download station configured to receive data from the portion of the physiological monitoring device over the electromechanical interface when the electrical contacts are coupled to the electrical terminals, the download station further comprising a wireless transceiver configured to establish a wireless connection to a cloud computing environment over a wide area network;the cloud-computing environment, comprising: a secure database operable to maintain a plurality of electronic medical records (EMRs);at least one server interconnected to a data communications network and coupled to the database, the at least one server configured to execute a patient management program, the patient management program comprising an application programming interface (API), the at least one server configured to interface with a plurality of versions of a mobile application, each of the versions associated with a kind of users different from kinds of users associated with other versions of the mobile application and associated with a level of access to the EMRs different from the level of access of other kinds of users, the at least one server further configured to: receive a plurality of identifiers, each of the identifiers associated with a disposable further portion of the physiological monitoring device to be used together with the reusable portion for conducting a physiological monitoring of a patient;create based on input provided via one of the versions of the mobile application by one or more of the users of one of the kinds a plurality of the EMRs, each of the created EMRs identified in the secure database using only one of the identifiers associated with one of the disposable further portions of the physiological monitoring device to be used for conducting the physiological monitoring of the patient, the created EMRs not comprising the patient's name, each of the created EMRs also associated with a plurality of the users of different kinds and at least one alert associated with each of two or more kinds of the users, wherein the identifier associated with each of the EMRs is different from the identifiers associated with the remaining EMRs;receive from the download station the data comprising results of the physiological monitoring performed by the monitoring device associated with the patient together with the-identifiers and to store the results in one of the created EMRs upon the identifiers received with the results matching the identifiers associated with one of the created EMRs;provide via another one of the versions of the mobile application one of the alerts to another of the users of another one of the user kinds and associated with the one EMR, the another user kind comprising clinicians that perform physiological data interpretation, the alert comprising a notification that the results have been stored in the one EMR;provide via the API the results of the physiological monitoring over a secure connection via the data communication network to a processing console, the secure connection implemented using an https protocol;receive a report comprising the interpretation of the physiological monitoring results by the one user over a further secure connection implemented using the https protocol from the processing console, and store the report in at least one of the created EMRs;send another one of the alerts over a still further secure connection implemented using the https protocol to an additional one of the users associated with the one EMR who is of a different user kind than the one user and the another user, the additional user comprising a physician that ordered the physiological monitoring, upon the receipt of the report via an additional version of the mobile application executing on a mobile device associated with the physician over the data communication network, the another alert comprising a notification that the report is stored in the one EMR; andreceive from the additional version of the mobile application at least one of the identifiers and a biometric identifier of the physician over the still further secure connection to verify an identity of the physician using the biometric identifier, and to provide the physician access to at least one of the created EMRs based on the verification and the at least one identifier received from the mobile application, wherein the additional version of the mobile application deletes from the mobile device all data provided into the mobile application that is associated with the patient after the mobile application being closed and after the data is provided to the at least one server.
  • 2. A system according to claim 1, comprising: the mobile device associated with the physician, comprising: at least one sensor configured to obtain a scan of the at least one identifier and the biometric identification of the physician;a processor interfaced to the scanner and configured to execute the additional version of the mobile application, the additional version of the mobile application configured to: process the scan and to obtain the at least one identifier based on the scan;send the at least one identifier and the biometric identifier to the at least one server.
  • 3. A system according to claim 2, wherein the biometric identifier comprises a scan of a fingerprint of the physician.
  • 4. A system according to claim 2, further comprising: a label comprising one of the identifiers associated with one of the disposable further portions of the monitoring device, wherein the one identifier is scanned from the label.
  • 5. A system according to claim 1, further comprising: a website maintained by the at least one server through which the patient can access the created EMRs; anda user interface comprised within the website through the patient can direct the at least one server to provide at least a portion of the EMRs to an at least one external website.
  • 6. A system according to claim 1, further comprising: a further mobile device associated with one of the users of the one kind, comprising: a scanner configured to scan a representation of at least one of the identifiers; anda processor interfaced to the scanner and configured to execute the one version of the mobile application, the one version of mobile application configured to: receive patient data from the one user;obtain at least one of the identifiers based on the scan;send the patient data and the at least on identifier to the at least one server.
  • 7. A system according to claim 1, comprising: a further mobile device associated with the patient, the mobile device comprising: a scanner configured to scan a representation of at least one of the identifiers;a processor interfaced to the scanner and configured to execute a further version of the mobile application, the further version of the mobile application configured to: obtain one of the identifiers based on the scan;receive a diary entry associated with the physiological monitoring from the patient;send the diary entry and the one identifier to the at least one server, wherein the at least one server stores the diary entry in one of the created EMRs using the one identifier.
  • 8. A system according to claim 1, wherein the EMRs are encrypted and the processing console and the mobile device comprise one or more keys for decrypting the EMRs.
  • 9. A system according to claim 1, further comprising: the processing console configured to: receive over the secure connection a list of one or more of the EMRs;receive a user selection of one of the created EMRs from the list;request over the secure connection monitoring data in the selected EMR from the list.
  • 10. A system according to claim 1, the at least one server further configured to: process the results of the physiological monitoring and to provide the results over the secure connection after the processing.
  • 11. A method for secure cloud-based physiological data processing and delivery, comprising: receiving by a download station, the download station comprising an electromechanical interface comprising a receptacle in which a plurality of electrical terminals are to positioned to mate with a plurality of electrical contacts on an external connector of a reusable portion of a physiological monitoring device, data from the reusable portion of the physiological monitoring device over the electromechanical interface when the electrical contacts are coupled to the electrical terminals, and providing the data by a wireless transceiver comprised in the download station to a cloud computing environment over a wide area network;maintaining in a secure database in the cloud-computing environment a plurality of electronic medical records (EMRs);receiving by at least one server, the at least one server interconnected to a data communications network and coupled to the secure database, a plurality of identifiers, each of the identifiers associated with a disposable further portion of the physiological monitoring device to be used for conducting a physiological monitoring of a patient, the at least one server configured to execute a patient management program comprising an application programming interface API, the at least one server configured to interface with a plurality of versions of a mobile application, each of the versions associated with a kind of users different from kinds of users associated with other versions of the mobile application and associated with a level of access to the EMRs different from the level of access of other kinds of users;creating by the patient management program executed by the at least one server provided via one of the versions of the mobile application by one or more of the users of one of the kinds based on user input a plurality of the EMRs, each of the created EMRs identified in the secure database using only one of the identifiers associated with one of the disposable further portions of the physiological monitoring device to be used for conducting a physiological monitoring of the patient, the created EMRs not comprising the patient's name, each of the created EMRs also associated with a plurality of the users of different kinds and at least one alert associated with each of two or more kinds of the users, wherein the identifier associated with each of the EMRs is different from the identifiers associated with the remaining EMRs;receiving by the patient management program executed by the at least one server from the download station the data comprising results of the physiological monitoring performed by the monitoring device associated with the patient together with the identifiers and storing the results in one of the created EMRs upon the identifiers received with the results matching the identifiers associated with one of the created EMRs;providing by the patient management program executed by the at least one server via another one of the versions of the mobile application one of the alerts to another of the users of another one of the user kinds and associated with the one EMR, the another user kind comprising clinicians that perform physiological data interpretation, the alert comprising a notification that the results have been stored in the one EMR;providing via the API by the at least one server the results of the physiological monitoring over a secure connection via the data communication network to a processing console, the secure connection implemented using an https protocol;receiving by the patient management program executed by the at least one server a report comprising the interpretation of the physiological monitoring results by the one user over a further secure connection implemented using the https protocol from the processing console, and storing the report in at least one of the created EMRs; andproviding another one of the alerts by the patient management program executed by the at least one server over a still further secure connection implemented using the https protocol to an additional one of the users associated with the one EMR who is of a different user kind than the one user and the another user, the additional user comprising a physician that ordered the physiological monitoring, upon the receipt of the report via an additional version of the mobile application executing on a mobile device associated with the physician over the data communication network, the another alert comprising a notification that the report is stored in the one EMR andreceiving from the additional version of the mobile application by the patient management program executed by the at least one server at least one of the identifiers and a biometric identifier of the physician over the still further secure connection to verify an identity of the physician using the biometric identifier, and providing the physician access to at least one of the created EMRs based on the verification and the at least one identifier received from the mobile application, wherein the additional version of the mobile application deletes from the mobile device all data provided into the mobile application that is associated with the patient after the mobile application being closed and after the data is provided to the at least one server.
  • 12. A method according to claim 11, comprising: obtaining by at least one sensor comprised in the mobile device a scan of the at least one identifier and the biometric identification of the physician;executing by a processor comprised in the mobile device the additional version mobile application, comprising: processing the scan and obtaining the at least one identifier based on the scan;sending the at least one identifier and the biometric identifier to the at least one server.
  • 13. A method according to claim 12, wherein the biometric identifier comprises a scan of a fingerprint of the physician.
  • 14. A method according to claim 12, further comprising: providing a label comprising one of the identifiers associated with one of the disposable further portions of the monitoring device, wherein the one identifier is scanned from the label.
  • 15. A method according to claim 14, further comprising: maintaining by the at least one server a website through which the patient can access the created EMRs; andproviding a user interface comprised within the website through which the patient can direct the at least one server to provide at least a portion of the EMRs to an at least one external website.
  • 16. A method according to claim 11, further comprising: scanning by a scanner comprised in a user device associated with one of the users of the one kind a representation of at least one of the identifiers; andexecuting by a processor interfaced to the scanner and comprised within the user device one version of the mobile application, comprising: receiving data regarding the physician from the one user;obtaining the at least one identifier based on the scan;sending the physician data and the at least one identifier to the at least one server.
  • 17. A method according to claim 11, comprising: scanning by a scanner comprised in a further mobile device associated with the patient a representation of at least one the identifiers;executing by a processor interfaced to the scanner a further version of the mobile application, comprising: obtaining one of the identifiers based on the scan;receiving a diary entry associated with the physiological monitoring from the patient;sending the diary entry and the one identifier to the at least one server, wherein the at least one server stores the diary entry in the one created EMR using the one identifier.
  • 18. A method according to claim 11, wherein the EMRs are encrypted and the processing console and the mobile device comprise one or more keys for decrypting the EMRs.
  • 19. A method according to claim 11, further comprising: receiving by the processing console over the secure connection a list of one or more of the EMRs;receiving a user selection of one of the created EMRs from the list;requesting over the secure connection monitoring data in the selected EMR from the list.
  • 20. A method according to claim 11, further comprising: processing by the at least one server the results of the physiological monitoring and providing the results by the at least one server over the secure connection after the processing.
CROSS-REFERENCE TO RELATED APPLICATION

This present non-provisional patent application is a continuation-in-part of U.S. Pat. No. 10,278,603, issued May 7, 2019, which is a continuation of U.S. Pat. No. 9,955,885, issued May 1, 2018; which is a continuation of U.S. Pat. No. 9,619,660, issued Apr. 11, 2017; which is a continuation-in-part of Ser. No. 14/341,698, filed Jul. 25, 2014, abandoned; which is a continuation-in-part of U.S. Pat. No. 9,433,367, issued Sep. 6, 2016; which is a continuation-in-part of U.S. Pat. No. 9,545,204, issued Jan. 17, 2017, and a continuation-in-part of U.S. Pat. No. 9,730,593, issued Aug. 15, 2017; and which further claims priority under 35 U.S.C. § 119(e) to U.S. Provisional Patent application Ser. No. 61/882,403, filed Sep. 25, 2013, the disclosures of which are incorporated by reference; the U.S. Pat. No. 9,619,660, issued Apr. 11, 2017, is also a continuation-in-part of U.S. Pat. No. 9,700,227, issued Jul. 11, 2017, which is a continuation-in-part of U.S. Pat. No. 9,730,593, issued Aug. 15, 2017, and further claims priority under 35 U.S.C. § 119(e) to U.S. Provisional Patent application Ser. No. 61/882,403, filed Sep. 25, 2013, the disclosures of which are incorporated by reference.

US Referenced Citations (493)
Number Name Date Kind
3215136 Holter et al. Nov 1965 A
3569852 Berkovits Mar 1971 A
3602215 Parnell Aug 1971 A
3699948 Ota et al. Oct 1972 A
3718772 Sanctuary Feb 1973 A
3893453 Goldberg Jul 1975 A
4123785 Cherry et al. Oct 1978 A
4151513 Menken et al. Apr 1979 A
4328814 Arkans May 1982 A
4441500 Sessions et al. Apr 1984 A
4532934 Kelen Aug 1985 A
4546342 Weaver et al. Oct 1985 A
4550502 Grayzel Nov 1985 A
4580572 Granek et al. Apr 1986 A
4635646 Gilles et al. Jan 1987 A
4653022 Koro Mar 1987 A
4716903 Hansen Jan 1988 A
4809705 Ascher Mar 1989 A
4915656 Alferness Apr 1990 A
5007429 Treatch et al. Apr 1991 A
5025794 Albert et al. Jun 1991 A
5107480 Naus Apr 1992 A
5168876 Quedens et al. Dec 1992 A
5215098 Steinhaus Jun 1993 A
5231990 Gauglitz Aug 1993 A
D341423 Bible Nov 1993 S
5263481 Axelgaard Nov 1993 A
5265579 Ferrari Nov 1993 A
5333615 Craelius et al. Aug 1994 A
5341806 Gadsby et al. Aug 1994 A
5348008 Bomn et al. Sep 1994 A
5355891 Wateridge et al. Oct 1994 A
5365934 Leon et al. Nov 1994 A
5365935 Righter et al. Nov 1994 A
5392784 Gudaitis Feb 1995 A
D357069 Plahn et al. Apr 1995 S
5402780 Faasse, Jr. Apr 1995 A
5402884 Gilman et al. Apr 1995 A
5450845 Axelgaard Sep 1995 A
5451876 Sendford et al. Sep 1995 A
5458141 Neil Oct 1995 A
5473537 Glazer et al. Dec 1995 A
5483969 Testerman et al. Jan 1996 A
5511553 Segalowitz Apr 1996 A
5540733 Testerman et al. Jul 1996 A
5546952 Erickson Aug 1996 A
5549655 Erickson Aug 1996 A
5579919 Gilman et al. Dec 1996 A
5582181 Ruess Dec 1996 A
D377983 Sabri et al. Feb 1997 S
5601089 Bledsoe et al. Feb 1997 A
5623935 Faisandier Apr 1997 A
5682901 Kamen Nov 1997 A
5697955 Stolte Dec 1997 A
5724967 Venkatachalam Mar 1998 A
5749902 Olsen et al. May 1998 A
5788633 Mahoney Aug 1998 A
5817151 Olsen et al. Oct 1998 A
5819741 Karlsson et al. Oct 1998 A
5850920 Gilman et al. Dec 1998 A
5860918 Schradi et al. Jan 1999 A
D407159 Roberg Mar 1999 S
5876351 Rohde Mar 1999 A
5906583 Rogel May 1999 A
5951598 Bishay et al. Sep 1999 A
5957857 Hartley Sep 1999 A
5984102 Tay Nov 1999 A
6032064 Devlin et al. Feb 2000 A
6038469 Karlsson et al. Mar 2000 A
6101413 Olsen et al. Aug 2000 A
6115638 Groenke Sep 2000 A
6117077 Del Mar et al. Sep 2000 A
6134479 Brewer et al. Oct 2000 A
6148233 Owen et al. Nov 2000 A
6149602 Arcelus Nov 2000 A
6149781 Forand Nov 2000 A
6188407 Smith et al. Feb 2001 B1
D443063 Pisani et al. May 2001 S
6245025 Torok et al. Jun 2001 B1
6246330 Nielsen Jun 2001 B1
6249696 Olson et al. Jun 2001 B1
D445507 Pisani et al. Jul 2001 S
6269267 Bardy et al. Jul 2001 B1
6272385 Bishay et al. Aug 2001 B1
6298255 Cordero et al. Oct 2001 B1
6301502 Owen et al. Oct 2001 B1
6304773 Taylor et al. Oct 2001 B1
6304780 Owen et al. Oct 2001 B1
6304783 Lyster et al. Oct 2001 B1
6374138 Owen et al. Apr 2002 B1
6381482 Jayaraman et al. Apr 2002 B1
6416471 Kumar et al. Jul 2002 B1
6418342 Owen et al. Jul 2002 B1
6424860 Karlsson et al. Jul 2002 B1
6427083 Owen et al. Jul 2002 B1
6427085 Boon et al. Jul 2002 B1
6454708 Ferguson et al. Sep 2002 B1
6456872 Faisandier Sep 2002 B1
6463320 Xue et al. Oct 2002 B1
6546285 Owen et al. Apr 2003 B1
6605046 Del Mar Aug 2003 B1
6607485 Bardy Aug 2003 B2
6611705 Hopman et al. Aug 2003 B2
6671545 Fincke Dec 2003 B2
6671547 Lyster et al. Dec 2003 B2
6694186 Bardy Feb 2004 B2
6704595 Bardy Mar 2004 B2
6705991 Bardy Mar 2004 B2
6719701 Lade Apr 2004 B2
6754523 Toole Jun 2004 B2
6782293 Dupelle et al. Aug 2004 B2
6856832 Matsumura Feb 2005 B1
6860897 Bardy Mar 2005 B2
6866629 Bardy Mar 2005 B2
6887201 Bardy May 2005 B2
6893397 Bardy May 2005 B2
6895261 Palamides May 2005 B1
6904312 Bardy Jun 2005 B2
6908431 Bardy Jun 2005 B2
6913577 Bardy Jul 2005 B2
6944498 Owen et al. Sep 2005 B2
6960167 Bardy Nov 2005 B2
6970731 Jayaraman et al. Nov 2005 B1
6978169 Guerra Dec 2005 B1
6993377 Flick et al. Jan 2006 B2
7020508 Stivoric et al. Mar 2006 B2
7027864 Snyder et al. Apr 2006 B2
7065401 Worden Jun 2006 B2
7085601 Bardy et al. Aug 2006 B1
7104955 Bardy Sep 2006 B2
7134996 Bardy Nov 2006 B2
7137389 Berthon-Jones Nov 2006 B2
7147600 Bardy Dec 2006 B2
7215991 Besson et al. May 2007 B2
7248916 Bardy Jul 2007 B2
7257438 Kinast Aug 2007 B2
7277752 Matos Oct 2007 B2
7294108 Bornzin et al. Nov 2007 B1
D558882 Brady Jan 2008 S
7328061 Rowlandson et al. Feb 2008 B2
7412395 Rowlandson et al. Aug 2008 B2
7429938 Corndorf Sep 2008 B1
7552031 Vock et al. Jun 2009 B2
D606656 Kobayashi et al. Dec 2009 S
7706870 Shieh et al. Apr 2010 B2
7756721 Falchuk et al. Jul 2010 B1
7787943 McDonough Aug 2010 B2
7874993 Bardy Jan 2011 B2
7881785 Nassif et al. Feb 2011 B2
D639437 Bishay et al. Jun 2011 S
7959574 Bardy Jun 2011 B2
8108035 Bharmi Jan 2012 B1
8116841 Bly et al. Feb 2012 B2
8135459 Bardy et al. Mar 2012 B2
8172761 Rulkov et al. May 2012 B1
8180425 Selvitelli et al. May 2012 B2
8200320 Kovacs Jun 2012 B2
8231539 Bardy Jul 2012 B2
8231540 Bardy Jul 2012 B2
8239012 Felix et al. Aug 2012 B2
8249686 Libbus et al. Aug 2012 B2
8260414 Nassif et al. Sep 2012 B2
8266008 Siegal et al. Sep 2012 B1
8277378 Bardy Oct 2012 B2
8285356 Bly et al. Oct 2012 B2
8285370 Felix et al. Oct 2012 B2
8308650 Bardy Nov 2012 B2
8366629 Bardy Feb 2013 B2
8374688 Libbus et al. Feb 2013 B2
8412317 Mazar Apr 2013 B2
8460189 Libbus et al. Jun 2013 B2
8473047 Chakravarthy et al. Jun 2013 B2
8478418 Fahey Jul 2013 B2
8538503 Kumar et al. Sep 2013 B2
8554311 Warner et al. Oct 2013 B2
8560046 Kumar et al. Oct 2013 B2
8591430 Amurthur et al. Nov 2013 B2
8594763 Bibian et al. Nov 2013 B1
8600486 Kaib et al. Dec 2013 B2
8613708 Bishay et al. Dec 2013 B2
8613709 Bishay et al. Dec 2013 B2
8620418 Kuppuraj et al. Dec 2013 B1
8626277 Felix et al. Jan 2014 B2
8628020 Beck Jan 2014 B2
8668653 Nagata et al. Mar 2014 B2
8684925 Manicka et al. Apr 2014 B2
8688190 Libbus et al. Apr 2014 B2
8718752 Libbus et al. May 2014 B2
8744561 Fahey Jun 2014 B2
8774932 Fahey Jul 2014 B2
8790257 Libbus et al. Jul 2014 B2
8790259 Katra et al. Jul 2014 B2
8795174 Manicka et al. Aug 2014 B2
8798729 Kaib et al. Aug 2014 B2
8798734 Kuppuraj et al. Aug 2014 B2
8818478 Scheffler et al. Aug 2014 B2
8818481 Bly et al. Aug 2014 B2
8823490 Libbus et al. Sep 2014 B2
8938287 Felix et al. Jan 2015 B2
8965492 Baker et al. Feb 2015 B2
9066664 Karjalainen Jun 2015 B2
9135608 Herlitz Sep 2015 B2
9155484 Baker et al. Oct 2015 B2
9204813 Kaib et al. Dec 2015 B2
9241649 Kumar et al. Jan 2016 B2
9259154 Miller et al. Feb 2016 B2
9277864 Yang et al. Mar 2016 B2
9339202 Brockway et al. May 2016 B2
9375179 Schultz et al. Jun 2016 B2
9414786 Brockway et al. Aug 2016 B1
9439566 Arne et al. Sep 2016 B2
9597004 Hughes et al. Mar 2017 B2
9603542 Veen et al. Mar 2017 B2
9700222 Quinlan et al. Jul 2017 B2
9770182 Bly et al. Sep 2017 B2
10034614 Edic et al. Jul 2018 B2
10045708 Dusan Aug 2018 B2
10049182 Chefles et al. Aug 2018 B2
20020013538 Teller Jan 2002 A1
20020013717 Ando et al. Jan 2002 A1
20020016798 Sakai Feb 2002 A1
20020103422 Harder et al. Aug 2002 A1
20020109621 Khair et al. Aug 2002 A1
20020120310 Linden et al. Aug 2002 A1
20020128686 Minogue et al. Sep 2002 A1
20020184055 Naghavi et al. Dec 2002 A1
20020193668 Munneke Dec 2002 A1
20030004547 Owen et al. Jan 2003 A1
20030028811 Walker Feb 2003 A1
20030073916 Yonce Apr 2003 A1
20030083559 Thompson May 2003 A1
20030097078 Maeda May 2003 A1
20030139785 Riff et al. Jul 2003 A1
20030176802 Galen et al. Sep 2003 A1
20030211797 Hill et al. Nov 2003 A1
20040008123 Carrender Jan 2004 A1
20040019288 Kinast Jan 2004 A1
20040034284 Aversano et al. Feb 2004 A1
20040049120 Cao et al. Mar 2004 A1
20040049132 Barron et al. Mar 2004 A1
20040073127 Istvan et al. Apr 2004 A1
20040087836 Green et al. May 2004 A1
20040088019 Rueter et al. May 2004 A1
20040093192 Hasson et al. May 2004 A1
20040116784 Gavish Jun 2004 A1
20040148194 Wellons et al. Jul 2004 A1
20040163034 Colbath et al. Aug 2004 A1
20040167416 Lee Aug 2004 A1
20040207530 Nielsen Oct 2004 A1
20040210165 Marmaropoulos et al. Oct 2004 A1
20040236202 Burton Nov 2004 A1
20040243435 Williams Dec 2004 A1
20040256453 Lammle Dec 2004 A1
20040260188 Syed et al. Dec 2004 A1
20040260192 Norihito Dec 2004 A1
20050010139 Aminian et al. Jan 2005 A1
20050096717 Bishay et al. May 2005 A1
20050108055 Ott et al. May 2005 A1
20050151640 Hastings Jul 2005 A1
20050154267 Bardy Jul 2005 A1
20050182308 Bardy Aug 2005 A1
20050182309 Bardy Aug 2005 A1
20050215918 Frantz et al. Sep 2005 A1
20050222513 Hadley et al. Oct 2005 A1
20050228243 Bardy Oct 2005 A1
20050245839 Stivoric et al. Nov 2005 A1
20050261564 Ryu et al. Nov 2005 A1
20050275416 Hervieux et al. Dec 2005 A1
20060025696 Kurzweil et al. Feb 2006 A1
20060025824 Freeman et al. Feb 2006 A1
20060030767 Lang et al. Feb 2006 A1
20060030904 Quiles Feb 2006 A1
20060041201 Behbehani et al. Feb 2006 A1
20060054737 Richardson Mar 2006 A1
20060084883 Linker Apr 2006 A1
20060100530 Kliot et al. May 2006 A1
20060111642 Baura et al. May 2006 A1
20060111943 Wu May 2006 A1
20060122469 Martel Jun 2006 A1
20060124193 Orr et al. Jun 2006 A1
20060224072 Shennib Oct 2006 A1
20060229522 Barr Oct 2006 A1
20060235320 Tan et al. Oct 2006 A1
20060253006 Bardy Nov 2006 A1
20060264730 Stivoric et al. Nov 2006 A1
20060264767 Shennib Nov 2006 A1
20070003115 Patton et al. Jan 2007 A1
20070038057 Nam et al. Feb 2007 A1
20070050209 Yered Mar 2007 A1
20070078324 Wijisiriwardana Apr 2007 A1
20070078354 Holland Apr 2007 A1
20070088406 Bennett et al. Apr 2007 A1
20070089800 Sharma Apr 2007 A1
20070093719 Nichols, Jr. et al. Apr 2007 A1
20070100248 Van Dam et al. May 2007 A1
20070100667 Bardy May 2007 A1
20070123801 Goldberger et al. May 2007 A1
20070131595 Jansson et al. Jun 2007 A1
20070136091 McTaggart Jun 2007 A1
20070179357 Bardy Aug 2007 A1
20070185390 Perkins et al. Aug 2007 A1
20070203415 Bardy Aug 2007 A1
20070203423 Bardy Aug 2007 A1
20070208232 Kovacs Sep 2007 A1
20070208233 Kovacs Sep 2007 A1
20070208266 Hadley Sep 2007 A1
20070225611 Kumar et al. Sep 2007 A1
20070244405 Xue et al. Oct 2007 A1
20070249946 Kumar et al. Oct 2007 A1
20070255153 Kumar et al. Nov 2007 A1
20070265510 Bardy Nov 2007 A1
20070270678 Fadem Nov 2007 A1
20070276270 Tran Nov 2007 A1
20070276275 Proctor et al. Nov 2007 A1
20070293738 Bardy Dec 2007 A1
20070293739 Bardy Dec 2007 A1
20070293740 Bardy Dec 2007 A1
20070293741 Bardy Dec 2007 A1
20070293772 Bardy Dec 2007 A1
20070299325 Farrell et al. Dec 2007 A1
20070299617 Willis Dec 2007 A1
20080027339 Nagai et al. Jan 2008 A1
20080051668 Bardy Feb 2008 A1
20080058661 Bardy Mar 2008 A1
20080143080 Burr Mar 2008 A1
20080088467 Al-Ali et al. Apr 2008 A1
20080091089 Guillory et al. Apr 2008 A1
20080091097 Linti et al. Apr 2008 A1
20080108890 Teng et al. May 2008 A1
20080114232 Gazit May 2008 A1
20080139953 Baker et al. Jun 2008 A1
20080177168 Callahan et al. Jul 2008 A1
20080194927 KenKnight et al. Aug 2008 A1
20080208009 Shklarski Aug 2008 A1
20080208014 KenKnight et al. Aug 2008 A1
20080284599 Zdeblick et al. Nov 2008 A1
20080288026 Cross Nov 2008 A1
20080294024 Cosentino et al. Nov 2008 A1
20080306359 Zdeblick et al. Dec 2008 A1
20080309481 Tanaka et al. Dec 2008 A1
20080312522 Rowlandson et al. Dec 2008 A1
20090012412 Wesel Jan 2009 A1
20090012979 Bateni et al. Jan 2009 A1
20090054952 Glukhovsky et al. Feb 2009 A1
20090062897 Axelgaard Mar 2009 A1
20090069867 KenKnight et al. Mar 2009 A1
20090073991 Landrum et al. Mar 2009 A1
20090076336 Mazar et al. Mar 2009 A1
20090076341 James et al. Mar 2009 A1
20090076342 Amurthur et al. Mar 2009 A1
20090076343 James et al. Mar 2009 A1
20090076346 James et al. Mar 2009 A1
20090076349 Libbus et al. Mar 2009 A1
20090076397 Libbus et al. Mar 2009 A1
20090076401 Mazar et al. Mar 2009 A1
20090076559 Libbus et al. Mar 2009 A1
20090088652 Tremblay Apr 2009 A1
20090112116 Lee et al. Apr 2009 A1
20090131759 Sims et al. May 2009 A1
20090156908 Belalcazar et al. Jun 2009 A1
20090216132 Orbach Aug 2009 A1
20090270708 Shen et al. Oct 2009 A1
20090270747 Van Dam et al. Oct 2009 A1
20090292194 Libbus et al. Nov 2009 A1
20100007413 Herleikson et al. Jan 2010 A1
20100022897 Parker et al. Jan 2010 A1
20100056881 Libbus et al. Mar 2010 A1
20100081913 Cross et al. Apr 2010 A1
20100174229 Hsu et al. Jul 2010 A1
20100177100 Carnes et al. Jul 2010 A1
20100185063 Bardy Jul 2010 A1
20100185076 Jeong et al. Jul 2010 A1
20100191154 Berger et al. Jul 2010 A1
20100191310 Bly Jul 2010 A1
20100223020 Goetz Sep 2010 A1
20100234715 Shin et al. Sep 2010 A1
20100234716 Engel Sep 2010 A1
20100280366 Lawrence et al. Nov 2010 A1
20100312188 Robertson et al. Dec 2010 A1
20100324384 Moon et al. Dec 2010 A1
20110021937 Hugh et al. Jan 2011 A1
20110054286 Crosby et al. Mar 2011 A1
20110060215 Tupin et al. Mar 2011 A1
20110066041 Pandia et al. Mar 2011 A1
20110077497 Oster et al. Mar 2011 A1
20110105861 Derchak et al. May 2011 A1
20110144470 Mazar et al. Jun 2011 A1
20110160548 Forster Jun 2011 A1
20110224564 Moon et al. Sep 2011 A1
20110237922 Parker, III et al. Sep 2011 A1
20110237924 McGusty et al. Sep 2011 A1
20110245699 Snell et al. Oct 2011 A1
20110245711 Katra et al. Oct 2011 A1
20110288605 Kaib et al. Nov 2011 A1
20110313305 Rantala Dec 2011 A1
20120003933 Baker et al. Jan 2012 A1
20120029306 Paquet et al. Feb 2012 A1
20120029315 Raptis et al. Feb 2012 A1
20120029316 Raptis et al. Feb 2012 A1
20120035432 Katra et al. Feb 2012 A1
20120059668 Baldock Mar 2012 A1
20120078127 McDonald et al. Mar 2012 A1
20120088998 Bardy et al. Apr 2012 A1
20120088999 Bishay et al. Apr 2012 A1
20120089000 Bishay et al. Apr 2012 A1
20120089001 Bishay et al. Apr 2012 A1
20120089037 Bishay et al. Apr 2012 A1
20120089412 Bishay et al. Apr 2012 A1
20120089417 Bardy et al. Apr 2012 A1
20120095352 Tran Apr 2012 A1
20120101358 Boettcher et al. Apr 2012 A1
20120101396 Solosko et al. Apr 2012 A1
20120165645 Russel et al. Jun 2012 A1
20120306662 Vosch et al. Jun 2012 A1
20120172695 Ko et al. Jul 2012 A1
20120179665 Baarman Jul 2012 A1
20120184207 Gaines Jul 2012 A1
20120220835 Chung Aug 2012 A1
20120232929 Experton Sep 2012 A1
20120238910 Nordstrom Sep 2012 A1
20120253847 Dell'Anno et al. Oct 2012 A1
20120302906 Felix et al. Nov 2012 A1
20120330126 Hoppe et al. Dec 2012 A1
20130041272 Javier et al. Feb 2013 A1
20130077263 Oleson et al. Mar 2013 A1
20130079611 Besko Mar 2013 A1
20130085347 Manicka et al. Apr 2013 A1
20130085403 Gunderson et al. Apr 2013 A1
20130087609 Nichol Apr 2013 A1
20130096395 Katra et al. Apr 2013 A1
20130116533 Lian et al. May 2013 A1
20130123651 Bardy May 2013 A1
20130158361 Bardy Jun 2013 A1
20130197380 Oral et al. Aug 2013 A1
20130225963 Kodandaramaiah et al. Aug 2013 A1
20130225966 Barber et al. Aug 2013 A1
20130231947 Shusterman Sep 2013 A1
20130243105 Lei et al. Sep 2013 A1
20130274584 Finlay et al. Oct 2013 A1
20130275158 Fahey Oct 2013 A1
20130324809 Lisogurski et al. Dec 2013 A1
20130324855 Lisogurski et al. Dec 2013 A1
20130324856 Lisogurski et al. Dec 2013 A1
20130325081 Karst et al. Dec 2013 A1
20130325359 Jarverud et al. Dec 2013 A1
20130331665 Libbus et al. Dec 2013 A1
20130338448 Libbus et al. Dec 2013 A1
20130338472 Barber et al. Dec 2013 A1
20140002234 Alwan Jan 2014 A1
20140012154 Mazar et al. Jan 2014 A1
20140056452 Moss et al. Feb 2014 A1
20140088399 Lian et al. Mar 2014 A1
20140107509 Banet Apr 2014 A1
20140140359 Kalevo et al. May 2014 A1
20140180027 Buller Jun 2014 A1
20140189928 Oleson et al. Jul 2014 A1
20140194760 Albert Jul 2014 A1
20140206977 Bahney et al. Jul 2014 A1
20140214134 Peterson Jul 2014 A1
20140215246 Lee et al. Jul 2014 A1
20140249852 Proud Sep 2014 A1
20140296651 Stone Oct 2014 A1
20140297310 Collins, Jr. Oct 2014 A1
20140343390 Berzowska et al. Nov 2014 A1
20140358193 Lyons et al. Dec 2014 A1
20140364756 Brockway et al. Dec 2014 A1
20150048836 Guthrie et al. Feb 2015 A1
20150065842 Lee et al. Mar 2015 A1
20150094558 Russell Apr 2015 A1
20150142090 Duijsens et al. May 2015 A1
20150164349 Ravi et al. Jun 2015 A1
20150165211 Naqvi et al. Jun 2015 A1
20150177175 Elder et al. Jun 2015 A1
20150250422 Bay Sep 2015 A1
20150257670 Ortega et al. Sep 2015 A1
20150305676 Shoshani Nov 2015 A1
20150359489 Baudenbacher et al. Dec 2015 A1
20160135746 Kumar et al. May 2016 A1
20160144190 Cao et al. May 2016 A1
20160144192 Sanghera et al. May 2016 A1
20160217691 Kadobayashi et al. Jul 2016 A1
20160235318 Sarkar Aug 2016 A1
20170056650 Cohen et al. Mar 2017 A1
20170112399 Brisben et al. Apr 2017 A1
20170156592 Fu Jun 2017 A1
20170281032 Weinberg et al. Oct 2017 A1
20170281033 Higgins et al. Oct 2017 A1
20170366921 Pflugh et al. Dec 2017 A1
20180078771 Koop et al. Mar 2018 A1
20190021671 Kumar et al. Jan 2019 A1
20190059763 Shakur et al. Feb 2019 A1
20190336032 Gill et al. Nov 2019 A1
20200038671 Schulhauser et al. Feb 2020 A1
Foreign Referenced Citations (35)
Number Date Country
19955211 May 2001 DE
1859833 Nov 2007 EP
2438851 Apr 2012 EP
2438852 Apr 2012 EP
2465415 Jun 2012 EP
2589333 May 2013 EP
H06319711 Nov 1994 JP
H11188015 Jul 1999 JP
2004129788 Apr 2004 JP
2007082938 Apr 2007 JP
2009219554 Oct 2009 JP
199852463 Nov 1998 WO
0078213 Dec 2000 WO
2003032192 Apr 2003 WO
2006009767 Jan 2006 WO
2006014806 Feb 2006 WO
2007066270 Jun 2007 WO
2007092543 Aug 2007 WO
2008010216 Jan 2008 WO
2008057884 May 2008 WO
2008092098 Jul 2008 WO
2009036306 Mar 2009 WO
2009036313 Mar 2009 WO
2009036327 Mar 2009 WO
2009112976 Sep 2009 WO
2009112978 Sep 2009 WO
2009112979 Sep 2009 WO
2009142975 Nov 2009 WO
2010066507 Jun 2010 WO
2010105045 Jun 2010 WO
2011047207 Apr 2011 WO
WO-2012112407 Aug 2012 WO
2012140559 Oct 2012 WO
2012146957 Nov 2012 WO
2017072250 May 2017 WO
Non-Patent Literature Citations (49)
Entry
Dwayne C. Leonard, A Framework for the Creation of a Unified Electronic Medical Record Using Biometrics, Data Fusion and Belief Theory, 2007, https://dialog.proquest.com/professional/docview/304852676/17AEEF1F9382EF1C4E5/6?accountid=131444 (last visited Aug. 27, 2021) (Year: 2007).
Pranav Rajpurkar et al. “Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks,”Arxiv.org, Cornell University Library, 201 Olin Library Cornell University Ithaca, NY 14853, Jul. 6, 2017 (Jul. 6, 2017), XP080774895.
Pourbabaee Bahareh et al. “Feature Learning with Deep Convolutional Neural Networks for Screening Patients with Paroxysmal Atrial Fibrillation,” 2016 Neural Networks (IJCNN), 2016 International Joint Conference on Neural Networks (IJCNN), IEEE, Jul. 24, 2016 (Jul. 24, 2016), pp. 5057-5064, XP032992832, DOI: 10.1109/IJCNN.2016.7727866.
Xiong Zhaohan et al. “Robust ECG Signal Classification for Detection of Atrial Fibrillation Using a Novel Neural Network,” 2017 Computing in Cardiology (CinC), CCAL, Sep. 24, 2017 (Sep. 24, 2017), pp. 1-4, XP033343575, DOI: 10.22489/CinC.2017.066-138.
15 of The Hottest Wearable Gadgets, URL <http://thehottestgadgets.com/2008/09/the-15-hottest-wearable-gadgets-001253> (Web page cached on Sep. 27, 2008).
Alivecor, URL <http://www.businesswire.com/news/home/20121203005545/en/AliveCor%E2%80%99s-Heart-Monitor-iPhone-Receives-FDA-Clearance#.U7rtq7FVTyF> (Dec. 3, 2012).
Bharadwaj et al., Techniques for Accurate ECG signal processing, EE Times, URL <www.eetimes.com/document.asp?doc_id=1278571> (Feb. 14, 2011).
Chen et al. “Monitoring Body Temperature of Newborn Infants At Neonatal Intensive Care Units Using Wearable Sensors,” BodyNets 2010, Corfu Island, Greece. Sep. 10-12, 1210.
Epstein, Andrew E. et al.; ACC/AHA/HRS 2008 Guidelines for Device-Based Therapy of Cardiac Rhythm Abnormalities. J. Am. Coll. Cardiol. 2008; 51; el-e62, 66 Pgs.
Fitbit Tracker, URL <http://www.fitbit.com/> (Web page cached on Sep. 10, 2008.).
Smith, Jawbone Up, URL <http://www.businessinsider.com/fitbit-flex-vs-jawbone-up-2013-5?op=1> (Jun. 1, 2013).
Kligfield, Paul et al., Recommendations for the Standardization and Interpretation of the Electrocardiogram: Part I. J.Am.Coll. Cardiol; 2007; 49; 1109-27, 75 Pgs.
Lauren Gravitz, “When Your Diet Needs A Band-Aid, ”Technology Review, MIT. (May 1, 2009).
Lieberman, Jonathan, “How Telemedicine Is Aiding Prompt ECG Diagnosis In Primary Care,” British Journal of Community Nursing, vol. 13, No. 3, Mar. 1, 2008 (Mar. 1, 2008), pp. 123-126, XP009155082, ISSN: 1462-4753.
McManus et al., “A Novel Application for the Detection of an Irregular Pulse using an iPhone 4S in Patients with Atrial Fibrillation,” vol. 10(3), pp. 315-319 (Mar. 2013.).
Nike+ Fuel Band, URL <http://www.nike.com/US/en_us/c/nikeplus-fuelband> (Web page cached on Jan. 11, 2013.).
P. Libby et al.,“Braunwald's Heart Disease—A Textbook of Cardiovascular Medicine,” Chs. 11, pp. 125-148 and 12, pp. 149-193 (8th ed. 2008), American Heart Association.
Initial hands-on with Polar Loop activity tracker, URL <http://www.dcrainmaker.com/2013/09/polar-loop-firstlook.html> (Sep. 17, 2013).
Seifert, Dan, Samsung dives into fitness wearable with the Gear Fit/ The Verge, URL <http://www.theverge.com/2014/2/24/5440310/samsung-dives-inio-fitness-wearables-with-the-gear-fit> (Feb. 24, 2014).
Soper, Taylor, Samsung's new Galaxy S5 flagship phone has fingerprint reader, heart rate monitor, URL <http://www.geekwire.com/2014/samsung-galaxy-s5-fingerprint> (Feb. 24, 2014).
Dolcourt, See the Samsung Galaxy S5's Heart rate monitor in action, URL <http://www.cnet.com/news/see-the-samsung-galaxy-s5s-heart-rate-monitor-in-action> (Feb. 25, 2014).
Sittig et al., “A Computer-Based Outpatient Clinical Referral System,” International Journal of Medical Informatics, Shannon, IR, vol. 55, No. 2, Aug. 1, 1999, pp. 149-158, XO004262434, ISSN: 1386-5056(99)00027-1.
Sleepview, URL <http://www.clevemed.com/sleepview/overview.shtml> (Web page cached on Sep. 4, 2013.).
Actigraphy/ Circadian Rhythm SOMNOwatch, URL <http://www.somnomedics.eu/news-events/publications/somnowatchtm.html> (Web page cached on Jan. 23, 2010).
Zio Event Card, URL <http://www.irhythmtech.com/zio-solution/zio-event/> (Web page cached on Mar. 11, 2013.).
Zio Patch System, URL <http://www.irhythmtech.com/zio-solution/zio-system/index.html> (Web page cached on Sep. 8, 2013.).
Saadi et al. “Heart Rhythm Analysis Using ECG Recorded With A Novel Sternum Based Patch Technology—A Pilot Study.” Cardio technix 2013—Proceedings of the International Congress on Cardiovascular Technologies, Sep. 20, 2013.
Anonymous. “Omegawave Launches Consumer App 2.0 in U.S. Endurance Sportswire—Endurance Sportswire.” Jul. 11, 2013. URL:http://endurancesportswire.com/omegawave-launches-consumer-app-2-0-in-u-s/.
Chan et al. “Wireless Patch Sensor for Remote Monitoring of Heart Rate, Respiration, Activity, and Falls.” pp. 6115-6118. 2013 35th Annual International Conference of the IEEE Engineering in Medical and Biology Society.
Wei et al. “A Stretchable and Flexible System for Skin-Mounted Measurement of Motion Tracking and Physiological Signals.” pp. 5772-5775. 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Aug. 26, 2014.
Daoud et al. “Fall Detection Using Shimmer Technology and Multiresolution Analysis.” Aug. 2, 2013. URL: https://decibel.ni.com/content/docs/DOC-26652.
Libbus. “Adherent Cardiac Monitor With Wireless Fall Detection for Patients With Unexplained Syncope.” Abstracts of the First AMA-IEEE Medical Technology Conference on Individualized Healthcare. May 22, 2010.
Duttweiler et al., “Probability Estimation In Arithmetic and Adaptive-Huffman Entropy Coders,” IEEE Transactions an Image Processing. vol. 4, No. 3, Mar. 1, 1995, pp. 237-246.
Gupta et al., “An ECG Compression Technique for Telecardiology Application,” India Conference (INDICON), 2011 Annual IEEE, Dec. 16, 2011, pp. 1-4.
Nave et al., “ECG Compression Using Long-Term Prediction,” IEEE Transactions on Biomedical Engineering, IEEE Service Center, NY, USA, vol. 40, No. 9, Sep. 1, 1993, pp. 877-885.
Skretting et al., “Improved Huffman Coding Using Recursive Splitting,” NORSIG, Jan. 1, 1999.
A. Voss et al., “Linear and Nonlinear Methods for Analyses of Cardiovascular Variability in Bipolar Disorders,” Bipolar Disorders, vol. 8, No. 5p1, Oct. 1, 2006, pp. 441-452, XP55273826, DK ISSN: 1398-5647, DOI: 10.1111/i.1399-5618.2006.00364.x.
Varicrad-Kardi Software User's Manual Rev. 1.1, Jul. 8, 2009 (Jul. 8, 2009), XP002757888, retrieved from the Internet: URL:http://www.ehrlich.tv/KARDiVAR-Software.pdf [retrieved on May 20, 2016].
Vedapulse UK, Jan. 1, 2014 (Jan. 1, 2014), XP002757887, Retrieved from the Internet: URL:http://www.vedapulseuk.com/diagnostic/ [retrieved on May 19, 2016].
http://www.originlab.com/origin#Data_Exploration 2015.
https://web.archive.org/web/20130831204020/http://www.biopac.com/research.asp?CatID=37&Main=Software (Aug. 2013).
http://www.gtec.at/Products/Software/g.BSanalyze-Specs-Features (2014).
Adinstruments:ECG Analysis Module For LabChart & PowerLab, 2008.
BIOPAC Systems, Inc. #AS148-Automated ECG Analysis , Mar. 24, 2006.
Health Research—Hexoskin Biometric Shirt | Hexoskin URL:http://www.hexoskin.com/pages/health-research (Web page cached on Dec. 2, 2014).
Jacob Kastrenakes, “Apple Watch uses four sensors to detect your pulse,” Sep. 9, 2014. URL: http://www.theverge.com/2014/9/9/6126991/apple-watch-four-back-sensors-detect-activity.
Nicole Lee, “Samsung Gear S review: an ambitious and painfully flawed smartwatch,” Dec. 1, 2014. URL: http://www.engadget.com/2014/12/01/samsung-gear-s-review/.
G. G. Ivanov, “HRV Analysis Under The Usage of Different Electrocardiopraphy Systems,” Apr. 15, 2008 (Apr. 15, 2008), XP55511209, Retrieved from the Internet: URL:http://www.drkucera.eu/upload_doc/hrv_analysis_(methodical_recommendations).pdf [retrieved on Oct. 1, 2018].
Wallot et al., “Using Complexity Metrics With R-R Intervals and BPM Heart Rate Measures,” Frontiers in Physiology, vol. 4, Article 211, pp. 1-8, Aug. 13, 2013. 2013.
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