Adherent device for sleep disordered breathing

Information

  • Patent Grant
  • 10028699
  • Patent Number
    10,028,699
  • Date Filed
    Tuesday, April 1, 2014
    10 years ago
  • Date Issued
    Tuesday, July 24, 2018
    5 years ago
Abstract
An adherent device is configured to adhere to the skin of the patient with an adherent patch, for example breathable tape, coupled to at least four electrodes. The device comprises impedance circuitry coupled to the at least four electrodes and configured to measure respiration of the patient to detect sleep apnea and/or hypopnea. The impedance circuitry may be used to measure hydration of the patient. An accelerometer can be mechanically coupled to the adherent patch such that the accelerometer can be coupled to and move with the skin of the patient. Electrocardiogram circuitry to generate an electrocardiogram signal may be coupled to at least two of the at least four electrodes to detect the sleep apnea and/or hypopnea.
Description
BACKGROUND OF THE INVENTION

1. Field of the Invention


The present invention relates to patient monitoring. Although embodiments make specific reference to monitoring impedance and electrocardiogram signals with an adherent device, the system methods and device described herein may be applicable to many applications in which physiological monitoring is used, for example wireless physiological monitoring for extended periods.


Patients are often treated for diseases and/or conditions associated with a compromised status of the patient, for example a compromised physiologic status. In some instances, a patient may report symptoms that require diagnosis to determine the underlying cause. For example, a patient may report fainting or dizziness that requires diagnosis, in which long term monitoring of the patient can provide useful information as to the physiologic status of the patient. In some instances a patient may have suffered a heart attack and require care and/or monitoring after release from the hospital. One example of a device to provide long term monitoring of a patient is the Holter monitor, or ambulatory electrocardiography device, which may use electrodes attached to the skin to measure electrocardiogram signals from the patient.


In addition to measuring heart signals with electrocardiograms, known physiologic measurements include impedance measurements. For example, transthoracic impedance measurements can be used to measure hydration and respiration. Although transthoracic measurements can be useful, such measurements may use electrodes that may be somewhat uncomfortable and/or cumbersome for the patient to wear. In at least some instances, electrodes that are held against the skin of the patient can become detached and/or dehydrated, such that the electrodes must be replaced, thereby making long term monitoring more difficult.


Work in relation to embodiments of the present invention suggests that known methods and apparatus for long term monitoring of patients may be less than ideal. At least some of the known devices may not collect the right kinds of data to treat patients optimally. For example, although successful at detecting and storing electrocardiogram signals, devices such as the Holter monitor can be somewhat bulky and may not collect all of the kinds of data that would be ideal to diagnose and/or treat a patient for apnea and/or hypopnea. In at least some instances, devices that are worn by the patient may be somewhat uncomfortable, which may lead to patients not wearing the devices and not complying with direction from the health care provider, such that data collected may be less than ideal.


Although some current instrumentation for sleep studies, such as polysomnography, may be capable of determining an apnea hypopnea index (hereinafter “AHI”), work in relation to embodiments of the present invention suggests that current polysomnogram instrumentation may be less than ideal. To record physiological variable with a polysomnogram, a patient may sleep in a clinic while wearing skin electrodes that are tethered to a data acquisition system. Such use of skin electrodes tethered to a data acquisition system can be uncomfortable, relatively expensive, and may not duplicate normal sleep conditions, in at least some instances.


Although implantable devices may be used in some instances, many of the implantable devices can be invasive and/or costly, and may suffer at least some of the shortcomings of known wearable devices. In addition, implantation may require surgery that can subject an already frail patient to additional and undesirable physiologic stress.


Therefore, a need exists for improved patient monitoring. Ideally, such improved patient monitoring would avoid at least some of the short-comings of the present methods and devices.


2. Description of the Background Art


The following US patents and Publications may describe relevant background art: U.S. Pat. Nos. 4,121,573; 4,955,381; 4,981,139; 5,080,099; 5,353,793; 5,511,553; 5,544,661; 5,558,638; 5,724,025; 5,772,586; 5,862,802; 6,047,203; 6,117,077; 6,129,744; 6,225,901; 6,385,473; 6,416,471; 6,454,707; 6,494,829; 6,527,711; 6,527,729; 6,551,252; 6,595,927; 6,595,929; 6,605,038; 6,641,542; 6,645,153; 6,821,249; 6,980,851; 7,020,508; 7,041,062; 7,054,679; 7,153,262; 7,206,630; 7,297,119; 2003/0092975; 2005/0113703; 2005/0131288; 2005/0137464; 2005/0277841; 2005/0277842; 2006/0010090; 2006/0089679; 2006/122474; 2006/0155183; 2006/0173257; 2006/0195144; 2006/0224051; 2006/0224072; 2006/0264730; 2006/0173269; 2006/0161205; 2007/0021678; 2006/0031102; 2007/0038038; 2007/0073132; 2007/0123756; 2007/0129643; 2007/0150008; and 2007/0255531.


BRIEF SUMMARY OF THE INVENTION

The present invention relates to patient monitoring. Although embodiments make specific reference to monitoring impedance and electrocardiogram signals with an adherent device, the system methods and device described herein may be applicable to any application in which physiological monitoring is used, for example wireless physiological monitoring for extended periods. An adherent device is configured to adhere to the skin of the patient with an adherent patch, for example breathable tape, coupled to at least four electrodes. The device comprises impedance circuitry coupled to the at least four electrodes and configured to measure respiration of the patient to detect sleep apnea and/or hypopnea. An accelerometer can be mechanically coupled to the adherent patch such that the accelerometer can be coupled to and move with the skin of the patient, thereby providing an accurate and reliable measurement of the orientation and/or activity of the patient, which can be helpful in determining that the patient is asleep. Electrocardiogram circuitry to generate an electrocardiogram signal may be coupled to at least two of the at least four electrodes, such that the sleep apnea and/or hypopnea can be detected in response to a heart rate variability from the electrocardiogram signal. For example, a sleep apnea and/or hypopnea can result in an increased heart rate to deliver oxygen to tissues.


In a first aspect, embodiments of the present invention provide an adherent device to monitor a sleep apnea and/or hypopnea of a patient. The device comprises an adhesive patch to adhere to a skin of the patient. At least four electrodes are connected to the patch and capable of electrically coupling to the patient. Impedance circuitry is coupled to the at least four electrodes to measure an impedance signal of the patient. A processor system comprises a tangible medium configured to determine a respiration rate and detect the apnea and/or hypopnea in response to the impedance signal. This use of the impedance signal to detect the apnea and/or hypopnea of the patient provides accurate detection of apnea and/or hypopnea and allows the device to be compact and comfortably worn when adhered to the patient.


In many embodiments, the processor system is configured to determine an apnea hypopnea index of the patient in response to the impedance signal. The impedance circuitry may be configured to measure extra cellular fluid of the patient with at least one frequency within a range from about 0.5 kHz to about 200 kHz, and the impedance circuitry can be configured to determine a respiration of the patient.


In many embodiments, the processor system is configured to control a collection and transmission of data from the impedance circuitry.


In many embodiments, an accelerometer is mechanically coupled to a second adhesive patch to generate an accelerometer signal when the second adhesive patch is adhered to the skin of the patient. The second adhesive patch can be configured to adhere to at least one of an ankle, a leg a foot, or a jaw of the patient. The processor system can be configured to detect at least one of a restless leg or a bruxation of the patient in response to the accelerometer signal. The accelerometer may be coupled to wireless communication circuitry supported with the second patch to transmit the accelerometer signal to the processor system.


In many embodiments, electromyogram circuitry can be mechanically coupled to a second adhesive patch to generate an electromyogram signal when the second adhesive patch is adhered to the skin of the patient. The second adhesive patch can be configured to adhere to at least one of an ankle, a leg a foot, or a jaw of the patient. The processor system can be configured to detect at least one of a restless leg or a bruxation of the patient in response to the electromyogram signal. The second electromyogram circuitry can be coupled to wireless communication circuitry supported with the second patch to transmit the electromyogram signal to the processor system.


In many embodiments, an accelerometer is mechanically coupled to the adherent patch to generate an accelerometer signal when the adhesive patch is adhered to the skin of the patient, and can result in very reliable measurement of the patient as the accelerometer is mechanically coupled to the patch adhered to the patient. The processor system can be configured to determine that the patient is asleep in response to the accelerometer signal. The accelerometer may comprise at least one of a piezoelectric accelerometer, capacitive accelerometer or electromechanical accelerometer and wherein the accelerometer comprises a 3-axis accelerometer to measure at least one of an inclination, a position, an orientation or acceleration of the patient in three dimensions.


In many embodiments, electrocardiogram circuitry is coupled to at least two of the at least four electrodes to measure an electrocardiogram signal of the patient. The electrocardiogram signal may be used to detect the sleep apnea and/or hypopnea, for example in response to a heart rate variability from the electrocardiogram signal. This use of the at least two of the at least four electrodes, which are used for the impedance signal, may allow for the collection of additional patient data without increasing the footprint size of the patch adhered to the patient. The processor system can be configured to determine that the patient is asleep in response to the electrocardiogram signal and the accelerometer signal.


In many embodiments, the adhesive patch is mechanically coupled to the at least four electrodes, the impedance circuitry, the electrocardiogram circuitry, the accelerometer and at least one processor of the processor system, such that the patch is capable of supporting the at least four electrodes, the impedance circuitry, the electrocardiogram circuitry, the accelerometer and the at least one processor when the adherent patch is adhered to the skin of the patient.


In many embodiments, the adherent device comprising wireless communication circuitry coupled to the impedance circuitry to transmit the impedance signal to a remote center with a communication protocol.


In many embodiments, at least one processor of the processor system is supported with the adherent patch, and the at least one processor is configured to determine a respiration rate from the impedance signal and a heart rate from the electrocardiogram signal. This processing of the impedance signal to determine the respiration rate and processing of the electrocardiogram signal to determine heart rate can decrease data transmission requirements, for example so as to decrease bandwidth requirements of the communication system, while also allowing faster communication of relevant patient information to the remote center. The wireless communication circuitry can be configured to transmit at least one of the heart rate or the respiration rate to the remote center to determine the apnea hypopnea index.


In many embodiments, the adherent device comprises wireless communication circuitry coupled to the impedance circuitry to transmit the respiration rate to a remote center with a communication protocol. The wireless communication circuitry can be configured to transmit the respiration rate to the remote center with an intermediate device. The communication protocol may comprise at least one of Bluetooth, Zigbee, WiFi, WiMax, IR, a cellular protocol, amplitude modulation or frequency modulation. The intermediate device may comprise a data collection system to collect and/or store data from the wireless transmitter and wherein the data collection system is configured to communicate periodically with the remote center with wireless connection and/or wired communication. The communications protocol may comprise a two way protocol such that the remote center is capable of issuing commands to control data collection.


In many embodiments, the adhesive patch comprises a breathable tape, in which the breathable tape comprises a breathable material with an adhesive.


In another aspect, embodiments of the present invention provide a method of monitoring a sleep apnea of a patient. An adhesive patch is adhered to a skin of the patient to couple at least four electrodes to the skin of the patient. An impedance signal of the patient is measured with impedance circuitry coupled to the at least four electrodes. A respiration rate is determined from the impedance signal to detect an apnea and/or hypopnea of the patient.


In many embodiments, an apnea hypopnea index of the patient is determined in response to the impedance signal.


In many embodiments, an accelerometer signal is measured with an accelerometer in response to at least one of an activity, a restless leg, a bruxation or an orientation of the patient. The patient is determined to be asleep in response to the accelerometer signal.


In many embodiments, an electrocardiogram signal of the patient is measured with electrocardiogram circuitry coupled to at least two of the at least four electrodes. The adhesive patch may support the at least four electrodes, the impedance circuitry, the electrocardiogram circuitry and the accelerometer when the adherent patch is adhered to the skin of the patient.


In another aspect, embodiments of the present invention provide an adherent device to monitor an apnea and/or hypopnea of a patient for an extended period. The device comprises a breathable tape. The breathable tape comprises a porous material with an adhesive coating to adhere the breathable tape to a skin of the patient. At least one electrode is affixed to the breathable tape and capable of electrically coupling to a skin of the patient. At least one gel is disposed over a contact surface of the at least one electrode to electrically connect the electrode to the skin. A printed circuit board is supported with the breathable tape when the tape is adhered to the patient, the circuit board is connected to the at least one electrode with a flexible intermediate connector to provide strain relief between the printed circuit board and the at least one electrode. Electronic components are electrically connected to the printed circuit board and the at least one electrode to measure breathing of the patient and determine the apnea and/or hypopnea of the patient. A breathable cover is disposed over the circuit board and the electronic components, the breathable cover connected to at least one of the electronics components, the printed circuit board or the breathable tape.


In some embodiments, the breathable cover comprises a water resistant cover.


In many embodiments, the electronic components comprise a processor and wireless transmission circuitry. The processor comprises a tangible medium and may be configured to determine an apnea hypopnea index from the breathing of the patient. The wireless transmission circuitry can be configured to transmit the apnea hypopnea index from the processor to a remote center.


In many embodiments, the breathable tape, the at least one electrode, the at least one gel and the breathable cover are configured to couple the at least one electrode to the skin to measure breathing of the patient for at least one week and the extended period comprises at least one week. The breathable tape may comprise a stretchable breathable material with an adhesive, and the breathable cover may comprises a stretchable material connected to the breathable tape. Advantageously, the breathable tape and the breathable cover can stretch with the skin of the patient, for example when the patient moves. This stretching of the materials can minimize, and in some instances avoid, the formation of creases that may decrease the useful life of the patch and/or coupling of the at least one electrode to the patient. The printed circuit board may be slidably coupled with the breathable tape and the breathable cover such that the breathable tape and breathable cover are configured to stretch with the skin of the patient when the breathable tape is adhered to the skin of the patient. In specific embodiments, the electronics components are affixed to the printed circuit board, and the electronics components and the printed circuit board are disposed between the stretchable breathable material with the adhesive and the stretchable cover. The printed circuit board can be separated from the breathable tape with an air gap to allow the skin to release moisture and receive oxygen through the breathable tape and the breathable cover.


In many embodiments, an electronics housing is adhered to at least one of the electronics components or the printed circuit board, such that the electronics housing is disposed between the cover and electronics components. The electronics housing can be configured to keep water away from the at least one of the printed circuit board or the electronic components. This can be advantageous with an extended wear device as the patient may live a more normal life and can take a shower, for example, without destroying the electronic components and/or the printed circuit board.


In many embodiments, the electronics housing comprises at least one of a cover or a sealant configured to protect the at least one of the printed circuit board or the electronic components from water. The electronics housing may comprise a water resistant coating disposed over the at least one the electronic components or the printed circuit board so as to seal the at least one of electronic components or the printed circuitry board and inhibit water penetration. The water resistant coating may comprise a dip coating disposed over the at least one of the electronics components or the printed circuit board.


In many embodiments, a gel cover is positioned over the breathable tape. The gel cover may comprise a breathable material, for example a water resistant material, to inhibit moisture penetration from outside the patch into the at least one gel.


The gel cover many comprise a breathable material to inhibit a flow of the gel through the breathable tape and wherein the printed circuit board is located over the gel cover such that the gel cover is disposed between the breathable tape and the printed circuit board. In specific embodiments, he breathable tape comprises a tricot-knit polyester fabric backing and the gel cover comprises a polyurethane, non-woven backing. The breathable tape may comprise a first porosity and the gel cover may comprise a breathable tape with a second porosity, in which the second porosity is less than the first porosity to minimize, or even inhibit, flow of the gel through the breathable tape having the first porosity.


In many embodiments, the breathable tape, the adhesive coating, the at least one electrode and gel are separable from the printed circuit board, electronic components and cover, such that the printed circuit board, electronic components, housing and cover are reusable.


In many embodiments, the at least one electrode extends through at least one aperture in the breathable tape.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1A shows a patient and a monitoring system comprising an adherent device, according to embodiments of the present invention;


FIG. 1A1 shows an adherent device system 100S comprising a plurality of adherent devices simultaneously adhered to the patient, according to embodiments of the present invention;



FIG. 1B shows a bottom view of the adherent device as in FIG. 1A comprising an adherent patch;



FIG. 1C shows a top view of the adherent patch, as in FIG. 1B;



FIG. 1D shows a printed circuit boards and electronic components over the adherent patch, as in FIG. 1C;


FIG. 1D1 shows an equivalent circuit that can be used to determine optimal frequencies for determining patient hydration, according to embodiments of the present invention;



FIG. 1E shows batteries positioned over the printed circuit board and electronic components as in FIG. 1D;



FIG. 1F shows a top view of an electronics housing and a breathable cover over the batteries, electronic components and printed circuit board as in FIG. 1E;



FIG. 1G shows a side view of the adherent device as in FIGS. 1A to 1F;



FIG. 1H shown a bottom isometric view of the adherent device as in FIGS. 1A to 1G;



FIGS. 1I and 1J show a side cross-sectional view and an exploded view, respectively, of the adherent device as in FIGS. 1A to 1H;



FIG. 1K shows at least one electrode configured to electrically couple to a skin of the patient through a breathable tape, according to embodiments of the present invention; and



FIG. 2A shows a method of detecting apnea and/or hypopnea of a patient, according to embodiments of the present invention.





DETAILED DESCRIPTION OF THE INVENTION

Embodiments of the present invention relate to patient monitoring. Although embodiments make specific reference to monitoring impedance, accelerometer and electrocardiogram signals with an adherent device, the system methods and device described herein may be applicable to any application in which physiological monitoring is used, for example wireless physiological monitoring for extended periods.


An adherent device is configured to adhere to the skin of the patient with an adherent patch, for example breathable tape, coupled to at least four electrodes. The device comprises impedance circuitry coupled to the at least four electrodes and configured to measure respiration of the patient to detect sleep apnea and/or hypopnea. Apnea can be an important hare failure comorbidity. The impedance circuitry may be used to measure hydration of the patient, which can be useful evaluating the physiologic status of the patient, for example in combination with the detected sleep apnea and/or hypopnea. An accelerometer can be mechanically coupled to the adherent patch such that the accelerometer can be coupled to and move with the skin of the patient, thereby providing an accurate and reliable measurement of the orientation and/or activity of the patient, which can be helpful in determining that the patient is asleep. The accelerometer can be mechanically coupled to the adherent patch such that the accelerometer can detect motion of the jaw and/or legs. Electrocardiogram circuitry to generate an electrocardiogram signal may be coupled to at least two of the at least four electrodes, such that the sleep apnea and/or hypopnea can be detected in response to a heart rate variability from the electrocardiogram signal.


Decompensation is failure of the heart to maintain adequate blood circulation. Although the heart can maintain at least some pumping of blood, the quantity is inadequate to maintain healthy tissues. Several symptoms can result from decompensation including pulmonary congestion, breathlessness, faintness, cardiac palpitation, edema of the extremities, and enlargement of the liver. Cardiac decompensation can result in slow or sudden death. Sudden Cardiac Arrest (hereinafter “SCA”), also referred to as sudden cardiac death, is an abrupt loss of cardiac pumping function that can be caused by a ventricular arrhythmia, for example ventricular tachycardia and/or ventricular fibrillation. Although decompensation and SCA can be related in that patients with decompensation are also at an increased risk for SCA, decompensation is primarily a mechanical dysfunction caused by inadequate blood flow, and SCA is primarily an electrical dysfunction caused by inadequate and/or inappropriate electrical signals of the heart.


In many embodiments, the adherent devices described herein may be used for 90 day monitoring, or more, and may comprise completely disposable components and/or reusable components, and can provide reliable data acquisition and transfer. In many embodiments, the patch is configured for patient comfort, such that the adherent patch can be worn and/or tolerated by the patient for extended periods, for example 90 days or more. The patch may be worn continuously for at least seven days, for example 14 days, and then replaced with another patch. Adherent devices with comfortable patches that can be worn for extended periods and in which patches can be replaced and the electronics modules reused are described in U.S. Pat. App. Nos. 60/972,537, entitled “Adherent Device with Multiple Physiological Sensors”; and 60/972,629, entitled “Adherent Device with Multiple Physiological Sensors”, both filed on Sep. 14, 2007, the full disclosures of which have been previously incorporated herein by reference. In many embodiments, the adherent patch comprises a tape, which comprises a material, preferably breathable, with an adhesive, such that trauma to the patient skin can be minimized while the patch is worn for the extended period. The printed circuit board may comprise a flex printed circuit board that can flex with the patient to provide improved patient comfort.



FIG. 1A shows a patient P and a monitoring system 10. Patient P comprises a midline M, a first side S1, for example a right side, and a second side S2, for example a left side. Monitoring system 10 comprises an adherent device 100. Adherent device 100 can be adhered to a patient P at many locations, for example thorax T of patient P. In many embodiments, the adherent device may adhere to one side of the patient, from which side data can be collected. Work in relation with embodiments of the present invention suggests that location on a side of the patient can provide comfort for the patient while the device is adhered to the patient.


Monitoring system 10 includes components to transmit data to a remote center 106. Remote center 106 can be located in a different building from the patient, for example in the same town as the patient, and can be located as far from the patient as a separate continent from the patient, for example the patient located on a first continent and the remote center located on a second continent. Adherent device 100 can communicate wirelessly to an intermediate device 102, for example with a single wireless hop from the adherent device on the patient to the intermediate device. Intermediate device 102 can communicate with remote center 106 in many ways, for example with an internet connection and/or with a cellular connection. In many embodiments, monitoring system 10 comprises a distributed processing system with at least one processor comprising a tangible medium of device 100, at least one processor 102P of intermediate device 102, and at least one processor 106P at remote center 106, each of which processors can be in electronic communication with the other processors. At least one processor 102P comprises a tangible medium 102T, and at least one processor 106P comprises a tangible medium 106T. Remote processor 106P may comprise a backend server located at the remote center. Remote center 106 can be in communication with a health care provider 108A with a communication system 107A, such as the Internet, an intranet, phone lines, wireless and/or satellite phone. Health care provider 108A, for example a family member, can be in communication with patient P with a communication, for example with a two way communication system, as indicated by arrow 109A, for example by cell phone, email, landline. Remote center 106 can be in communication with a health care professional, for example a physician 108B, with a communication system 107B, such as the Internet, an intranet, phone lines, wireless and/or satellite phone. Physician 108B can be in communication with patient P with a communication, for example with a two way communication system, as indicated by arrow 109B, for example by cell phone, email, landline. Remote center 106 can be in communication with an emergency responder 108C, for example a 911 operator and/or paramedic, with a communication system 107C, such as the Internet, an intranet, phone lines, wireless and/or satellite phone. Emergency responder 108C can travel to the patient as indicated by arrow 109C. Thus, in many embodiments, monitoring system 10 comprises a closed loop system in which patient care can be monitored and implemented from the remote center in response to signals from the adherent device.


In many embodiments, the adherent device may continuously monitor physiological parameters, communicate wirelessly with a remote center, and provide alerts when necessary. The system may comprise an adherent patch, which attaches to the patient's thorax and contains sensing electrodes, battery, memory, logic, and wireless communication capabilities. In some embodiments, the patch can communicate with the remote center, via the intermediate device in the patient's home. In some embodiments, remote center 106 receives the patient data and applies a patient evaluation algorithm, for example an algorithm to calculate the apnea hypopnea index. When a flag is raised, the center may communicate with the patient, hospital, nurse, and/or physician to allow for therapeutic intervention.


The adherent device may be affixed and/or adhered to the body in many ways. For example, with at least one of the following: an adhesive tape, a constant-force spring, suspenders around shoulders, a screw-in microneedle electrode, a pre-shaped electronics module to shape fabric to a thorax, a pinch onto roll of skin, or transcutaneous anchoring. Patch and/or device replacement may occur with a keyed patch (e.g. two-part patch), an outline or anatomical mark, a low-adhesive guide (place guide|remove old patch|place new patch|remove guide), or a keyed attachment for chatter reduction. The patch and/or device may comprise an adhesiveless embodiment (e.g. chest strap), and/or a low-irritation adhesive for sensitive skin. The adherent patch and/or device can comprise many shapes, for example at least one of a dogbone, an hourglass, an oblong, a circular or an oval shape.


In many embodiments, the adherent device may comprise a reusable electronics module with replaceable patches, and each of the replaceable patches may include a battery. The module may collect cumulative data for approximately 90 days and/or the entire adherent component (electronics+patch) may be disposable. In a completely disposable embodiment, a “baton” mechanism may be used for data transfer and retention, for example baton transfer may include baseline information. In some embodiments, the device may have a rechargeable module, and may use dual battery and/or electronics modules, wherein one module 101A can be recharged using a charging station 103 while the other module 101B is placed on the adherent patch with connectors. In some embodiments, the intermediate device 102 may comprise the charging module, data transfer, storage and/or transmission, such that one of the electronics modules can be placed in the intermediate device for charging and/or data transfer while the other electronics module is worn by the patient.


System 10 can perform the following functions: initiation, programming, measuring, storing, analyzing, communicating, predicting, and displaying. The adherent device may contain a subset of the following physiological sensors: bioimpedance, respiration, respiration rate variability, heart rate (aye, min, max), heart rhythm, hear rate variability (HRV), heart rate turbulence (HRT), heart sounds (e.g. S3), respiratory sounds, blood pressure, activity, posture, wake/sleep, orthopnea, temperature/heat flux, and weight. The activity sensor may comprise one or more of the following: ball switch, accelerometer, minute ventilation, HR, bioimpedance noise, skin temperature/heat flux, BP, muscle noise, posture.


The adherent device can wirelessly communicate with remote center 106. The communication may occur directly (via a cellular or Wi-Fi network), or indirectly through intermediate device 102. Intermediate device 102 may consist of multiple devices, which can communicate wired or wirelessly to relay data to remote center 106.


In many embodiments, instructions are transmitted from remote site 106 to a processor supported with the adherent patch on the patient, and the processor supported with the patient can receive updated instructions for the patient treatment and/or monitoring, for example while worn by the patient.


FIG. 1A1 shows an adherent device system 100S comprising a plurality of adherent devices simultaneously adhered to the patient, for example adherent device 100, second adherent device 100J and third adherent device 100A. Adherent device system 100S may comprise wireless communication between and/or among devices adhered to the patient. Adherent device system 100S may comprise a component of system 10 described above. Second adherent device 100J can be disposed on the jaw of the patient to detect jaw movement and/or orientation, for example bruxation. Second adherent device 100J may comprise an accelerometer and/or electromyogram (EMG) circuitry comprising electrodes to detect patient jaw movement such as bruxation to determine the patient sleep status. Third adherent device 100A can be disposed on the patient to detect leg movement and/or orientation, for example on the leg, ankle and/or foot of the patient to detect restless leg syndrome. Third adherent device 100A may comprise an accelerometer and/or electromyogram (EMG) circuitry comprising electrodes to detect patient leg movement to determine the patient sleep status. Adherent device 100 may comprise an accelerometer and/or electromyogram circuitry comprising electrodes to detect patient motion, for example motion and/or orientation of the thorax.



FIG. 1B shows a bottom view of adherent device 100 as in FIG. 1A comprising an adherent patch 110. Adherent patch 110 comprises a first side, or a lower side 110A, that is oriented toward the skin of the patient when placed on the patient. In many embodiments, adherent patch 110 comprises a tape 110T which is a material, preferably breathable, with an adhesive 116A. Patient side 110A comprises adhesive 116A to adhere the patch 110 and adherent device 100 to patient P. Electrodes 112A, 112B, 112C and 112D are affixed to adherent patch 110. In many embodiments, at least four electrodes are attached to the patch, for example six electrodes. In some embodiments the patch comprises two electrodes, for example two electrodes to measure the electrocardiogram (ECG) of the patient. Gel 114A, gel 114B, gel 114C and gel 114D can each be positioned over electrodes 112A, 112B, 112C and 112D, respectively, to provide electrical conductivity between the electrodes and the skin of the patient. In many embodiments, the electrodes can be affixed to the patch 110, for example with known methods and structures such as rivets, adhesive, stitches, etc. In many embodiments, patch 110 comprises a breathable material to permit air and/or vapor to flow to and from the surface of the skin.



FIG. 1C shows a top view of the adherent patch 100, as in FIG. 1B. Adherent patch 100 comprises a second side, or upper side 110B. In many embodiments, electrodes 112A, 112B, 112C and 112D extend from lower side 110A through adherent patch 110 to upper side 110B. An adhesive 116B can be applied to upper side 110B to adhere structures, for example a breathable cover, to the patch such that the patch can support the electronics and other structures when the patch is adhered to the patient. The PCB may comprise completely flex PCB, rigid PCB, rigid PCB combined flex PCB and/or rigid PCB boards connected by cable.



FIG. 1D shows a printed circuit boards and electronic components over adherent patch 110, as in FIG. 1A to 1C. In some embodiments, a printed circuit board (PCB), for example flex printed circuit board 120, may be connected to electrodes 112A, 112B, 112C and 112D with connectors 122A, 122B, 122C and 122D. Flex printed circuit board 120 can include traces 123A, 123B, 123C and 123D that extend to connectors 122A, 122B, 122C and 122D, respectively, on the flex PCB. Connectors 122A, 122B, 122C and 122D can be positioned on flex printed circuit board 120 in alignment with electrodes 112A, 112B, 112C and 112D so as to electrically couple the flex PCB with the electrodes. In some embodiments, connectors 122A, 122B, 122C and 122D may comprise insulated wires and/or a film with conductive ink that provide strain relief between the PCB and the electrodes. For example, connectors 122A, 122B, 122C and 122D may comprise a flexible polyester film coated with conductive silver ink. In some embodiments, additional PCB's, for example rigid PCB's 120A, 120B, 120C and 120D, can be connected to flex printed circuit board 120. Electronic components 130 can be connected to flex printed circuit board 120 and/or mounted thereon. In some embodiments, electronic components 130 can be mounted on the additional PCB's.


Electronic components 130 comprise components to take physiologic measurements, transmit data to remote center 106 and receive commands from remote center 106. In many embodiments, electronics components 130 may comprise known low power circuitry, for example complementary metal oxide semiconductor (CMOS) circuitry components. Electronics components 130 comprise an activity sensor and activity circuitry 134, impedance circuitry 138 and electrocardiogram circuitry, for example ECG circuitry 136. In some embodiments, electronics circuitry 130 may comprise a microphone and microphone circuitry 142 to detect an audio signal from within the patient, and the audio signal may comprise a heart sound and/or a respiratory sound, for example an S3 heart sound and a respiratory sound with rales and/or crackles.


Electronics circuitry 130 may comprise a temperature sensor, for example a thermistor in contact with the skin of the patient, and temperature sensor circuitry 144 to measure a temperature of the patient, for example a temperature of the skin of the patient. A temperature sensor may be used to determine the sleep and wake state of the patient. The temperature of the patient can decrease as the patient goes to sleep and increase when the patient wakes up.


Work in relation to embodiments of the present invention suggests that skin temperature may effect impedance and/or hydration measurements, and that skin temperature measurements may be used to correct impedance and/or hydration measurements. In some embodiments, increase in skin temperature or heat flux can be associated with increased vasodilation near the skin surface, such that measured impedance measurement decreased, even through the hydration of the patient in deeper tissues under the skin remains substantially unchanged. Thus, use of the temperature sensor can allow for correction of the hydration signals to more accurately assess the hydration, for example extra cellular hydration, of deeper tissues of the patient, for example deeper tissues in the thorax.


Electronics circuitry 130 may comprise a processor 146. Processor 146 comprises a tangible medium, for example read only memory (ROM), electrically erasable programmable read only memory (EEPROM) and/or random access memory (RAM). Processor 146 may comprise many known processors with real time clock and frequency generator circuitry, for example the PIC series of processors available from Microchip, of Chandler Ariz. In some embodiments, processor 146 may comprise the frequency generator and real time clock. The processor can be configured to control a collection and transmission of data from the impedance circuitry electrocardiogram circuitry and the accelerometer. In many embodiments, device 100 comprise a distributed processor system, for example with multiple processors on device 100.


Electronics circuitry 130 may comprise electromyogram (hereinafter “EMG”) circuitry 148 to measure muscle activity. EMG circuitry 148 can measure signals from muscles and may be connected to and/or comprise at least two of electrode 112A, electrode 112B, electrode 112C or electrode 112D. EMG circuitry 148 comprises an amplifier to amplify signals from contracting muscles so as to generate an EMG signal. EMG circuitry 148 can be connected to processor to send the EMG signal to the processor for storage and/or analysis.


In many embodiments, electronics components 130 comprise wireless communications circuitry 132 to communicate with remote center 106. The wireless communication circuitry can be coupled to the impedance circuitry, the electrocardiogram circuitry and the accelerometer to transmit to a remote center with a communication protocol at least one of the hydration signal, the electrocardiogram signal or the inclination signal. In specific embodiments, wireless communication circuitry is configured to transmit the hydration signal, the electrocardiogram signal and the inclination signal to the remote center with a single wireless hop, for example from wireless communication circuitry 132 to intermediate device 102. The communication protocol comprises at least one of Bluetooth, Zigbee, WiFi, WiMax, IR, amplitude modulation or frequency modulation. In many embodiments, the communications protocol comprises a two way protocol such that the remote center is capable of issuing commands to control data collection.


Intermediate device 102 may comprise a data collection system to collect and store data from the wireless transmitter. The data collection system can be configured to communicate periodically with the remote center. The data collection system can transmit data in response to commands from remote center 106 and/or in response to commands from the adherent device.


Activity sensor and activity circuitry 134 can comprise many known activity sensors and circuitry. In many embodiments, the accelerometer comprises at least one of a piezoelectric accelerometer, capacitive accelerometer or electromechanical accelerometer. The accelerometer may comprises a 3-axis accelerometer to measure at least one of an inclination, a position, an orientation or acceleration of the patient in three dimensions. Work in relation to embodiments of the present invention suggests that three dimensional orientation of the patient and associated positions, for example sitting, standing, lying down, can be very useful when combined with data from other sensors, for example ECG data and/or bioimpedance data, for example a respiration rate of the patient.


Impedance circuitry 136 can generate both hydration data and respiration data. In many embodiments, impedance circuitry 136 is electrically connected to electrodes 112A, 112B, 112C and 112D in a four pole configuration, such that electrodes 112A and 112D comprise outer electrodes that are driven with a current and comprise force electrodes that force the current through the tissue. The current delivered between electrodes 112A and 112D generates a measurable voltage between electrodes 112B and 112C, such that electrodes 112B and 112C comprise inner, sense, electrodes that sense and/or measure the voltage in response to the current from the force electrodes. In some embodiments, electrodes 112B and 112C may comprise force electrodes and electrodes 112A and 112B may comprise sense electrodes. The voltage measured by the sense electrodes can be used to measure the impedance of the patient and determine the respiration rate and/or hydration of the patient.


FIG. 1D1 shows an equivalent circuit 152 that can be used to determine optimal frequencies for measuring patient hydration. Work in relation to embodiments of the present invention indicates that the frequency of the current and/or voltage at the force electrodes can be selected so as to provide impedance signals related to the extracellular and/or intracellular hydration of the patient tissue. Equivalent circuit 152 comprises an intracellular resistance 156, or R(ICW) in series with a capacitor 154, and an extracellular resistance 158, or R(ECW). Extracellular resistance 158 is in parallel with intracellular resistance 156 and capacitor 154 related to capacitance of cell membranes. In many embodiments, impedances can be measured and provide useful information over a wide range of frequencies, for example from about 0.5 kHz to about 200 KHz. Work in relation to embodiments of the present invention suggests that extracellular resistance 158 can be significantly related extracellular fluid and to cardiac decompensation, and that extracellular resistance 158 and extracellular fluid can be effectively measured with frequencies in a range from about 0.5 kHz to about 20 kHz, for example from about 1 kHz to about 10 kHz. In some embodiments, a single frequency can be used to determine the extracellular resistance and/or fluid. As sample frequencies increase from about 10 kHz to about 20 kHz, capacitance related to cell membranes decrease the impedance, such that the intracellular fluid contributes to the impedance and/or hydration measurements. Thus, many embodiments of the present invention measure hydration with frequencies from about 0.5 kHz to about 20 kHz to determine patient hydration.


In many embodiments, impedance circuitry 136 can be configured to determine respiration of the patient. In specific embodiments, the impedance circuitry can measure the hydration at 25 Hz intervals, for example at 25 Hz intervals using impedance measurements with a frequency from about 0.5 kHz to about 20 kHz.


ECG circuitry 138 can generate electrocardiogram signals and data from two or more of electrodes 112A, 112B, 112C and 112D in many ways. In some embodiments, ECG circuitry 138 is connected to inner electrodes 112B and 122C, which may comprise sense electrodes of the impedance circuitry as described above. In some embodiments, ECG circuitry 138 can be connected to electrodes 112A and 112D so as to increase spacing of the electrodes. The inner electrodes may be positioned near the outer electrodes to increase the voltage of the ECG signal measured by ECG circuitry 138. In many embodiments, the ECG circuitry may measure the ECG signal from electrodes 112A and 112D when current is not passed through electrodes 112A and 112D, for example with switches as described in U.S. App. No. 60/972,527, the full disclosure of which has been previously incorporated herein by reference.



FIG. 1E shows batteries 150 positioned over the flex printed circuit board and electronic components as in FIG. 1D. Batteries 150 may comprise rechargeable batteries that can be removed and/or recharged. In some embodiments, batteries 150 can be removed from the adherent patch and recharged and/or replaced.



FIG. 1F shows a top view of a cover 162 over the batteries, electronic components and flex printed circuit board as in FIGS. 1A to 1E. In many embodiments, an electronics housing 160 may be disposed under cover 162 to protect the electronic components, and in some embodiments electronics housing 160 may comprise an encapsulant over the electronic components and PCB. In some embodiments, cover 162 can be adhered to adherent patch 110 with an adhesive 164 on an underside of cover 162. In many embodiments, electronics housing 160 may comprise a water proof material, for example a sealant adhesive such as epoxy or silicone coated over the electronics components and/or PCB. In some embodiments, electronics housing 160 may comprise metal and/or plastic. Metal or plastic may be potted with a material such as epoxy or silicone.


Cover 162 may comprise many known biocompatible cover, casing and/or housing materials, such as elastomers, for example silicone. The elastomer may be fenestrated to improve breathability. In some embodiments, cover 162 may comprise many known breathable materials, for example polyester, polyamide, and/or elastane (Spandex). The breathable fabric may be coated to make it water resistant, waterproof, and/or to aid in wicking moisture away from the patch.



FIG. 1G shows a side view of adherent device 100 as in FIGS. 1A to 1F. Adherent device 100 comprises a maximum dimension, for example a length 170 from about 2 to 10 inches (from about 50 mm to about 250 mm), for example from about 4 to 6 inches (from about 100 mm to about 150 mm). In some embodiments, length 170 may be no more than about 6 inches (no more than about 150 mm). Adherent device 100 comprises a thickness 172. Thickness 172 may comprise a maximum thickness along a profile of the device. Thickness 172 can be from about 0.1 inches to about 0.4 inches (from about 5 mm to about 10 mm), for example about 0.3 inches (about 7.5 mm).



FIG. 1H shown a bottom isometric view of adherent device 100 as in FIGS. 1A to 1G. Adherent device 100 comprises a width 174, for example a maximum width along a width profile of adherent device 100. Width 174 can be from about 1 to about 4 inches (from about 25 mm to 100 mm), for example about 2 inches (about 50 mm).



FIGS. 1I and 1J show a side cross-sectional view and an exploded view, respectively, of adherent device 100 as in FIGS. 1A to 1H. Device 100 comprises several layers. Gel 114A, or gel layer, is positioned on electrode 112A to provide electrical conductivity between the electrode and the skin. Electrode 112A may comprise an electrode layer. Adherent patch 110 may comprise a layer of breathable tape 110T, for example a known breathable tape, such as tricot-knit polyester fabric. An adhesive 116A, for example a layer of acrylate pressure sensitive adhesive, can be disposed on underside 110A of adherent patch 110.


A gel cover 180, or gel cover layer, for example a polyurethane non-woven tape, can be positioned over patch 110 comprising the breathable tape. A PCB layer, for example flex printed circuit board 120, or flex PCB layer, can be positioned over gel cover 180 with electronic components 130 connected and/or mounted to flex printed circuit board 120, for example mounted on flex PCB so as to comprise an electronics layer disposed on the flex PCB layer. In many embodiments, the adherent device may comprise a segmented inner component, for example the PCB may be segmented to provide at least some flexibility. In many embodiments, the electronics layer may be encapsulated in electronics housing 160 which may comprise a waterproof material, for example silicone or epoxy. In many embodiments, the electrodes are connected to the PCB with a flex connection, for example trace 123A of flex printed circuit board 120, so as to provide strain relive between the electrodes 112A, 112B, 112C and 112D and the PCB.


Gel cover 180 can inhibit flow of gel 114A and liquid. In many embodiments, gel cover 180 can inhibit gel 114A from seeping through breathable tape 110T to maintain gel integrity over time. Gel cover 180 can also keep external moisture, for example liquid water, from penetrating though the gel cover into gel 114A while allowing moisture vapor from the gel, for example moisture vapor from the skin, to transmit through the gel cover.


In many embodiments, cover 162 can encase the flex PCB and/or electronics and can be adhered to at least one of the electronics, the flex PCB or adherent patch 110, so as to protect at least the electronics components and the PCB. Cover 162 can attach to adherent patch 110 with adhesive 116B. Cover 162 can comprise many known biocompatible cover materials, for example silicone. Cover 162 can comprise an outer polymer cover to provide smooth contour without limiting flexibility. In many embodiments, cover 162 may comprise a breathable fabric. Cover 162 may comprise many known breathable fabrics, for example breathable fabrics as described above. In some embodiments, the breathable cover may comprise a breathable water resistant cover. In some embodiments, the breathable fabric may comprise polyester, nylon, polyamide, and/or elastane (Spandex) to allow the breathable fabric to stretch with body movement. In some embodiments, the breathable tape may contain and elute a pharmaceutical agent, such as an antibiotic, anti-inflammatory or antifungal agent, when the adherent device is placed on the patient.


The breathable cover 162 and adherent patch 110 comprise breathable tape can be configured to couple continuously for at least one week the at least one electrode to the skin so as to measure breathing of the patient. The breathable tape may comprise the stretchable breathable material with the adhesive and the breathable cover may comprises a stretchable water resistant material connected to the breathable tape, as described above, such that both the adherent patch and cover can stretch with the skin of the patient. Arrows 182 show stretching of adherent patch 110, and the stretching of adherent patch can be at least two dimensional along the surface of the skin of the patient. As noted above, connectors 122A, 122B, 122C and 122D between PCB 130 and electrodes 112A, 112B, 112C and 112D may comprise insulated wires that provide strain relief between the PCB and the electrodes, such that the electrodes can move with the adherent patch as the adherent patch comprising breathable tape stretches. Arrows 184 show stretching of cover 162, and the stretching of the cover can be at least two dimensional along the surface of the skin of the patient. Cover 162 can be attached to adherent patch 110 with adhesive 116B such that cover 162 stretches and/or retracts when adherent patch 110 stretches and/or retracts with the skin of the patient. For example, cover 162 and adherent patch 110 can stretch in two dimensions along length 170 and width 174 with the skin of the patient, and stretching along length 170 can increase spacing between electrodes. Stretching of the cover and adherent patch 110, for example in two dimensions, can extend the time the patch is adhered to the skin as the patch can move with the skin such that the patch remains adhered to the skin Electronics housing 160 can be smooth and allow breathable cover 162 to slide over electronics housing 160, such that motion and/or stretching of cover 162 is slidably coupled with housing 160. The printed circuit board can be slidably coupled with adherent patch 110 that comprises breathable tape 110T, such that the breathable tape can stretch with the skin of the patient when the breathable tape is adhered to the skin of the patient, for example along two dimensions comprising length 170 and width 174. Electronics components 130 can be affixed to printed circuit board 120, for example with solder, and the electronics housing can be affixed over the PCB and electronics components, for example with dip coating, such that electronics components 130, printed circuit board 120 and electronics housing 160 are coupled together. Electronics components 130, printed circuit board 120, and electronics housing 160 are disposed between the stretchable breathable material of adherent patch 110 and the stretchable water resistant material of cover 160 so as to allow the adherent patch 110 and cover 160 to stretch together while electronics components 130, printed circuit board 120, and electronics housing 160 do not stretch substantially, if at all. This decoupling of electronics housing 160, printed circuit board 120 and electronic components 130 can allow the adherent patch 110 comprising breathable tape to move with the skin of the patient, such that the adherent patch can remain adhered to the skin for an extended time of at least one week, for example two or more weeks.


An air gap 169 may extend from adherent patch 110 to the electronics module and/or PCB, so as to provide patient comfort. Air gap 169 allows adherent patch 110 and breathable tape 110T to remain supple and move, for example bend, with the skin of the patient with minimal flexing and/or bending of printed circuit board 120 and electronic components 130, as indicated by arrows 186. Printed circuit board 120 and electronics components 130 that are separated from the breathable tape 110T with air gap 169 can allow the skin to release moisture as water vapor through the breathable tape, gel cover, and breathable cover. This release of moisture from the skin through the air gap can minimize, and even avoid, excess moisture, for example when the patient sweats and/or showers.


The breathable tape of adherent patch 110 may comprise a first mesh with a first porosity and gel cover 180 may comprise a breathable tape with a second porosity, in which the second porosity is less than the first porosity to minimize, and even inhibit, flow of the gel through the breathable tape. The gel cover may comprise a polyurethane film with the second porosity.


In many embodiments, the adherent device comprises a patch component and at least one electronics module. The patch component may comprise adherent patch 110 comprising the breathable tape with adhesive coating 116A, at least one electrode, for example electrode 114A and gel 114. The at least one electronics module can be separable from the patch component. In many embodiments, the at least one electronics module comprises the flex printed circuit board 120, electronic components 130, electronics housing 160 and cover 162, such that the flex printed circuit board, electronic components, electronics housing and cover are reusable and/or removable for recharging and data transfer, for example as described above. In many embodiments, adhesive 116B is coated on upper side 110A of adherent patch 110B, such that the electronics module can be adhered to and/or separated from the adhesive component. In specific embodiments, the electronic module can be adhered to the patch component with a releasable connection, for example with Velcro™, a known hook and loop connection, and/or snap directly to the electrodes. Two electronics modules can be provided, such that one electronics module can be worn by the patient while the other is charged, as described above. Monitoring with multiple adherent patches for an extended period is described in U.S. Pat. App. No. 60/972,537, the full disclosure of which has been previously incorporated herein by reference. Many patch components can be provided for monitoring over the extended period. For example, about 12 patches can be used to monitor the patient for at least 90 days with at least one electronics module, for example with two reusable electronics modules.


At least one electrode 112A can extend through at least one aperture 180A in the breathable tape 110 and gel cover 180.


In some embodiments, the adhesive patch may comprise a medicated patch that releases a medicament, such as antibiotic, beta-blocker, ACE inhibitor, diuretic, or steroid to reduce skin irritation. The adhesive patch may comprise a thin, flexible, breathable patch with a polymer grid for stiffening. This grid may be anisotropic, may use electronic components to act as a stiffener, may use electronics-enhanced adhesive elution, and may use an alternating elution of adhesive and steroid.



FIG. 1K shows at least one electrode 190 configured to electrically couple to a skin of the patient through a breathable tape 192. In many embodiments, at least one electrode 190 and breathable tape 192 comprise electrodes and materials similar to those described above. Electrode 190 and breathable tape 192 can be incorporated into adherent devices as described above, so as to provide electrical coupling between the skin and electrode through the breathable tape, for example with the gel.


Second adherent device 100J and third adherent device 100A may comprise components similar to adherent device 100, described above. The processor of adherent device 100, described above may comprise a system controller to control communication and/or actions of first adherent device 100J and second device 100A, for example data collection and transmission. In many embodiments, data collected from second adherent device 100J and third adherent device 100A is sent wirelessly to device 100, which device 100 transmits the data to the intermediate device. In some embodiments, adherent device 100, second adherent device 100J and third adherent device 100A can each communicate data wirelessly with the intermediate device and may each receive instructions from the intermediate device.



FIG. 2A shows a method 200 of monitoring a sleep apnea and/or hypopnea in a patient. Method 200 can be performed with the processor system, as described above. A step 205 measures an impedance signal of the patient. The impedance signal can be measured with a four pole impedance system as described above. A step 210 determines the respiration rate of the patient, for example from the impedance signal. Step 210 can be performed with at least one processor supported with the adhesive patch as descried above, so as to decrease data storage requirements of the electronic components supported with the adhesive patch. A step 215 measures extracellular fluid of the patient. The extracellular fluid can be used to monitor the hydration status of the patient and detect edema. A step 220 measures an accelerometer signal. The accelerometer signal can be generated with many accelerometers as described above, for example a three axis accelerometer. The accelerometer may correspond to patient activity, for example patient activity and orientation may be determined from the accelerometer signal. A step 225 determines orientation and/or activity of the patient, for example in response to the accelerometer signal. A step 230 measures an electrocardiogram signal of the patient. A step 235 determines a heart rate of the patient in response to the electrocardiogram signal. The heart rate of the patient can be determined with at least one processor supported with the adhesive patch, so as to decrease data storage requirements of the electronic components supported with the adhesive patch. A step 240 determines that the patient is asleep, for example in response to the respiration rate from the impedance signal, the activity and orientation of the patient from the accelerometer signal, and the heart rate from electrocardiogram signal. For example, a combination of low heart rate, low respiration rate, low activity amount and/or horizontal position can be used to determine the patient sleep state of the patient, for example that the patient is asleep A step 245 determines the apnea hypopnea index. In some embodiments, the apnea hypopnea index is determined at the remote center and/or the intermediate device in response to the heart rate and respiration rate determined with at least one processor supported with the adhesive patch. Known methods of calculating the apnea hypopnea index can be used, and at least some of the following U.S. patent publications and patents describe calculation of the apnea hypopnea index (AHI): 2007/0129643 (Kwok et al.); 2007/0123756 (Kitajima et al.); 2006/0173257 (Nagai et al.); and U.S. Pat. No. 6,641,542 (Cho et al.). A step 250 transmits patient information to the remote center, for example the patient apnea hypopnea index. A step 255 transmits data collection commands from the remote center to a processor supported with the adhesive patch. A step 260 provides the apnea hypopnea index to a decompensation prediction algorithm, for example as described in U.S. App. Nos. 60/972,512, entitled “Multi-Sensor Patient Monitor to Detect Impending Cardiac Decompensation”; and 61/035,970, entitled “Heart Failure Decompensation Prediction Based on Cardiac Rhythm”, filed on Mar. 12, 2008; the full disclosures of which are incorporated by reference. A step 265 can alter a health care provider in response to one or more of the measured signals, for example the heart rate signal and/or the respiration rate signal, and provide the apnea hypopnea index to the treating physician and/or health care provider as a report.


The processor system, as described above, can be configured to perform the method 200, including many of the steps described above. It should be appreciated that the specific steps illustrated in FIG. 2A provide a particular method of monitoring a patient for sleep disordered breathing, according to an embodiment of the present invention. Other sequences of steps may also be performed according to alternative embodiments. For example, alternative embodiments of the present invention may perform the steps outlined above in a different order. Moreover, the individual steps illustrated in FIG. 2A may include multiple sub-steps that may be performed in various sequences as appropriate to the individual step. Furthermore, additional steps may be added or removed depending on the particular applications. One of ordinary skill in the art would recognize many variations, modifications, and alternatives.


While the exemplary embodiments have been described in some detail, by way of example and for clarity of understanding, those of skill in the art will recognize that a variety of modifications, adaptations, and changes may be employed. Hence, the scope of the present invention should be limited solely by the appended claims.

Claims
  • 1. A method of monitoring a sleep apnea and/or hypopnea of a patient, the method comprising: adhering an adhesive patch to a skin of the patient to couple at least one electrode to the skin of the patient, wherein the adhesive patch supports the at least one electrode, impedance circuitry, a processor, and wireless communication circuitry;measuring an impedance signal of the patient with the impedance circuitry coupled to the at least one electrode;processing the impedance signal with the processor to determine a respiration rate;processing the impedance signal with the processor to determine extracellular fluid of the patient, sufficient to monitor hydration status, wherein the extracellular fluid is determined using impedance measurements with a frequency from about 0.5 kHz to about 20 kHz;communicating via the wireless communication circuitry the respiration rate and the hydration status to a remote monitoring center;detecting at the remote monitoring center the sleep apnea and/or hypopnea of the patient in response to the communicated respiration rate;determining a decompensation risk at the remote monitoring center based on the detected sleep apnea and/or hypopnea and the hydration status.
  • 2. The method of claim 1, further comprising determining an apnea hypopnea index of the patient in response to the detected sleep apnea and/or hypopnea of the patient, and providing the apnea hypopnea index to the decompensation prediction algorithm in addition to the hydration status.
  • 3. The method of claim 2, wherein the index is determined at the remote monitoring center.
  • 4. The method of claim 2, wherein the index is determined at an intermediate device.
  • 5. The method of claim 1, further comprising: generating an accelerometer signal with an accelerometer; andprocessing the accelerometer signal with the processor to detect sleep status of the patient.
  • 6. The method of claim 5, wherein the accelerometer comprises a three axis accelerometer.
  • 7. The method of claim 1, further comprising: measuring an electrocardiogram signal of the patient with electrocardiogram circuitry coupled to the at least one electrode; andmeasuring a signal from an accelerometer in response to at least one of an activity and a position of the patient.
  • 8. The method of claim 7 wherein the adhesive patch further supports the electrocardiogram circuitry and the accelerometer when the adhesive patch is adhered to the skin of the patient.
  • 9. The method of claim 7, further comprising determining a heart rate based on the electrocardiogram signal.
  • 10. The method of claim 1, further comprising generating an accelerometer signal with an accelerometer; andprocessing the accelerometer signal with the processor to detect at least one of a patient activity and a patient orientation.
  • 11. The method of claim 1, further comprising transmitting data collection commands from the remote monitoring center to the processor supported with the adhesive patch.
  • 12. The method of claim 1, further comprising alerting a health care provider in response to at least one of the monitored hydration status, detected sleep apnea and/or hypopnea, and combinations thereof.
  • 13. The method of claim 1, wherein extracellular fluid is determined using impedance measurements with a frequency from about 1.0 kHz to about 10 kHz.
  • 14. A method of monitoring a sleep apnea and/or hypopnea of a patient, the method comprising: adhering an adhesive patch to a skin of the patient to couple at least four electrodes to the skin of the patient, wherein the adhesive patch supports the at least four electrodes, impedance circuitry, electrocardiogram circuitry, a processor, and wireless communication circuitry;measuring an impedance signal of the patient with the impedance circuitry coupled to the at least four electrodes;processing the impedance signal to detect sleep apnea and/or hypopnea of the patient in response to the impedance signal;processing the impedance signal with the processor to determine extracellular fluid of the patient, sufficient to monitor hydration status, wherein the extracellular fluid is determined using impedance measurements with a frequency from about 0.5 kHz to about 20 kHz;measuring an electrocardiogram signal of the patient with the electrocardiogram circuitry coupled to at least two of the at least four electrodes, to provide at least heart rate data; andcommunicating using the wireless communication circuitry information about the heart rate data, hydration status, and the detected sleep apnea and/or hypopnea to a decompensation prediction algorithm located on a remote monitoring center.
  • 15. The method of claim 14, further comprising: generating an accelerometer signal with an accelerometer; andprocessing the accelerometer signal with the processor to determine at least one of a patient activity and a patient orientation.
  • 16. The method of claim 15, further comprising determining if the patient is asleep by analysis of at least one of the patient activity, the patient orientation and the heart rate data.
  • 17. The method of claim 14, further comprising determining an apnea hypopnea index of the patient in response to the detected sleep apnea and/or hypopnea of the patient, wherein the apnea hypopnea index is determined at the remote monitoring center.
  • 18. The method of claim 14, further comprising determining an apnea hypopnea index of the patient in response to the detected sleep apnea and/or hypopnea of the patient, wherein the apnea hypopnea index is determined at an intermediate device.
  • 19. The method of claim 14, wherein the extracellular fluid is determined using impedance measurements with a frequency from about 1.0 kHz to about 10 kHz.
CROSS-REFERENCES TO RELATED APPLICATIONS

The present application is a continuation of U.S. patent application Ser. No. 13/543,660 filed Jul. 6, 2012, now U.S. Pat. No. 8,688,190 and titled “Adherent Device For Sleep Disordered Breathing”, which is a continuation of U.S. patent application Ser. No. 12/209,292 filed Sep. 12, 2008, now U.S. Pat. No. 8,249,686 and titled “Adherent Device For Sleep Disordered Breathing”, which claims the benefit under 35 USC 119(e) of U.S. Provisional Application Nos. 60/972,537, 60/972,363, and 60/972,336 all filed Sep. 14, 2007, and 61/055,656 and 61/055,666 both filed May 23, 2008; the full disclosures of which are incorporated herein by reference in their entirety. The subject matter of the present application is related to the following applications: 60/972,512; 60/972,329; 60/972,354; 60/972,616; 60/972,343; 60/972,581; 60/972,629; 60/972,316; 60/972,333; 60/972,359; 60/972,340 all of which were filed on Sep. 14, 2007; 61/046,196 filed Apr. 18, 2008; 61/047,875 filed Apr. 25, 2008; 61/055,645 and 61/055,662 both filed May 23, 2008; and 61/079,746 filed Jul. 10, 2008. The following applications are being filed concurrently with the present application, on Sep. 12, 2008: U.S. patent application Ser. No. 12/209,279 entitled “Multi-Sensor Patient Monitor to Detect Impending Cardiac Decompensation Prediction”; U.S. patent application Ser. No. 12/209,288 entitled “Adherent Device with Multiple Physiological Sensors”; U.S. patent application Ser. No. 12/209,430 entitled “Injectable Device for Physiological Monitoring”; U.S. patent application Ser. No. 12/209,479 entitled “Injectable Physiological Monitoring System”; U.S. patent application Ser. No. 12/209,262 entitled “Adherent Device for Cardiac Rhythm Management”; U.S. patent application Ser. No. 12/209,268 entitled “Adherent Device for Respiratory Monitoring”; U.S. patent application Ser. No. 12/209,269 entitled “Adherent Athletic Monitor”; U.S. patent application Ser. No. 12/209,259 entitled “Adherent Emergency Monitor”; U.S. patent application Ser. No. 12/209,273 entitled “Adherent Device with Physiological Sensors”; U.S. patent application Ser. No. 12/209,276 entitled “Medical Device Automatic Start-up upon Contact to Patient Tissue”; U.S. patent application Ser. No. 12/210,078 entitled “System and Methods for Wireless Body Fluid Monitoring”; U.S. patent application Ser. No. 12/209,265 entitled “Adherent Cardiac Monitor with Advanced Sensing Capabilities”; U.S. patent application Ser. No. 12/209,278 entitled “Dynamic Pairing of Patients to Data Collection Gateways”; U.S. patent application Ser. No. 12/209,508 entitled “Adherent Multi-Sensor Device with Implantable Device Communications Capabilities”; U.S. patent application Ser. No. 12/209,528 entitled “Data Collection in a Multi-Sensor Patient Monitor”; U.S. patent application Ser. No. 12/209,271 entitled “Adherent Multi-Sensor Device with Empathic Monitoring”; U.S. patent application Ser. No. 12/209,274 entitled “Energy Management for Adherent Patient Monitor”; and U.S. patent application Ser. No. 12/209,294 entitled “Tracking and Security for Adherent Patient Monitor.”

US Referenced Citations (707)
Number Name Date Kind
834261 Chambers Oct 1906 A
2087124 Smith et al. Jul 1937 A
2184511 Bagno et al. Dec 1939 A
3170459 Phipps et al. Feb 1965 A
3232291 Parker Feb 1966 A
3370459 Cescati Feb 1968 A
3517999 Weaver Jun 1970 A
3620216 Szymanski Nov 1971 A
3677260 Funfstuck et al. Jul 1972 A
3805769 Sessions Apr 1974 A
3845757 Wyer Nov 1974 A
3874368 Asrican Apr 1975 A
3882853 Gofman et al. May 1975 A
3942517 Bowles et al. Mar 1976 A
3972329 Kaufman Aug 1976 A
4008712 Nyboer Feb 1977 A
4024312 Korpman May 1977 A
4077406 Sandhage et al. Mar 1978 A
4121573 Crovella et al. Oct 1978 A
4141366 Cross, Jr. et al. Feb 1979 A
RE30101 Kubicek et al. Sep 1979 E
4185621 Morrow Jan 1980 A
4216462 DiGaicomo et al. Aug 1980 A
4300575 Wilson Nov 1981 A
4308872 Watson et al. Jan 1982 A
4358678 Lawrence Nov 1982 A
4409983 Albert Oct 1983 A
4450527 Sramek May 1984 A
4451254 Dinius et al. May 1984 A
4478223 Allor Oct 1984 A
4498479 Martio et al. Feb 1985 A
4522211 Bare et al. Jun 1985 A
4661103 Harman Apr 1987 A
4664129 Helzel et al. May 1987 A
4669480 Hoffman Jun 1987 A
4673387 Phillips et al. Jun 1987 A
4681118 Asai et al. Jul 1987 A
4692685 Blaze Sep 1987 A
4699146 Sieverding Oct 1987 A
4721110 Lampadius Jan 1988 A
4730611 Lamb Mar 1988 A
4781200 Baker Nov 1988 A
4793362 Tedner Dec 1988 A
4838273 Cartmell Jun 1989 A
4838279 Fore Jun 1989 A
4850370 Dower Jul 1989 A
4880004 Baker, Jr. et al. Nov 1989 A
4895163 Libke et al. Jan 1990 A
4911175 Shizgal Mar 1990 A
4945916 Kretschmer et al. Aug 1990 A
4955381 Way et al. Sep 1990 A
4966158 Honma et al. Oct 1990 A
4981139 Pfohl Jan 1991 A
4988335 Prindle et al. Jan 1991 A
4989612 Fore Feb 1991 A
5001632 Hall-Tipping Mar 1991 A
5012810 Strand May 1991 A
5025791 Niwa Jun 1991 A
5027824 Dougherty et al. Jul 1991 A
5050612 Matsumura Sep 1991 A
5063937 Ezenwa et al. Nov 1991 A
5080099 Way et al. Jan 1992 A
5083563 Collins Jan 1992 A
5086781 Bookspan Feb 1992 A
5113869 Nappholz et al. May 1992 A
5125412 Thornton Jun 1992 A
5133355 Strand et al. Jul 1992 A
5140985 Schroeder et al. Aug 1992 A
5150708 Brooks Sep 1992 A
5168874 Segalowitz Dec 1992 A
5226417 Swedlow et al. Jul 1993 A
5241300 Buschmann Aug 1993 A
5257627 Rapoport Nov 1993 A
5271411 Ripley et al. Dec 1993 A
5273532 Niezink et al. Dec 1993 A
5282840 Hudrlik Feb 1994 A
5291013 Nafarrate et al. Mar 1994 A
5297556 Shankar Mar 1994 A
5301677 Hsung Apr 1994 A
5319363 Welch et al. Jun 1994 A
5331966 Bennett et al. Jul 1994 A
5335664 Nagashima Aug 1994 A
5343869 Pross et al. Sep 1994 A
5353793 Bornn Oct 1994 A
5362069 Hall-Tipping Nov 1994 A
5375604 Kelly et al. Dec 1994 A
5411530 Akhtar May 1995 A
5437285 Verrier et al. Aug 1995 A
5443073 Wang et al. Aug 1995 A
5449000 Libke et al. Sep 1995 A
5450845 Axel Sep 1995 A
5454377 Dzwonczyk et al. Oct 1995 A
5464012 Falcone Nov 1995 A
5469859 Tsoglin et al. Nov 1995 A
5482036 Diab et al. Jan 1996 A
5503157 Sramek Apr 1996 A
5511548 Riazzi Apr 1996 A
5511553 Segalowitz Apr 1996 A
5518001 Snell May 1996 A
5523742 Simkins et al. Jun 1996 A
5529072 Sramek Jun 1996 A
5544661 Davis et al. Aug 1996 A
5558638 Evers et al. Sep 1996 A
5560368 Berger Oct 1996 A
5564429 Bornn et al. Oct 1996 A
5564434 Halperin et al. Oct 1996 A
5566671 Lyons Oct 1996 A
5575284 Athan et al. Nov 1996 A
5607454 Cameron et al. Mar 1997 A
5632272 Diab et al. May 1997 A
5634468 Platt et al. Jun 1997 A
5642734 Ruben et al. Jul 1997 A
5673704 Marchlinski et al. Oct 1997 A
5678562 Sellers Oct 1997 A
5687717 Halpern et al. Nov 1997 A
5718234 Warden et al. Feb 1998 A
5724025 Tavori Mar 1998 A
5738107 Martinsen et al. Apr 1998 A
5748103 Flach et al. May 1998 A
5767791 Stoop et al. Jun 1998 A
5769793 Pincus et al. Jun 1998 A
5772508 Sugita et al. Jun 1998 A
5772586 Heinonen et al. Jun 1998 A
5778882 Raymond et al. Jul 1998 A
5788643 Feldman Aug 1998 A
5788682 Maget, Jr. Aug 1998 A
5803915 Kremenchugsky et al. Sep 1998 A
5807272 Kun et al. Sep 1998 A
5814079 Kieval Sep 1998 A
5817035 Sullivan Oct 1998 A
5833603 Kovacs et al. Nov 1998 A
5836990 Li Nov 1998 A
5855614 Stevens et al. Jan 1999 A
5860860 Clayman Jan 1999 A
5862802 Bird Jan 1999 A
5862803 Besson et al. Jan 1999 A
5865733 Malinouskas et al. Feb 1999 A
5876353 Riff Mar 1999 A
5904708 Goedeke May 1999 A
5935079 Swanson et al. Aug 1999 A
5941831 Turcott Aug 1999 A
5944659 Flach et al. Aug 1999 A
5949636 Johnson et al. Sep 1999 A
5957854 Besson et al. Sep 1999 A
5957861 Combs et al. Sep 1999 A
5964703 Goodman et al. Oct 1999 A
5970986 Bolz et al. Oct 1999 A
5984102 Tay Nov 1999 A
5987352 Klein et al. Nov 1999 A
6007532 Netherly Dec 1999 A
6027523 Schmieding Feb 2000 A
6045513 Stone et al. Apr 2000 A
6047203 Sackner et al. Apr 2000 A
6047259 Campbell et al. Apr 2000 A
6049730 Kristbjarnarson Apr 2000 A
6050267 Nardella et al. Apr 2000 A
6050951 Friedman et al. Apr 2000 A
6052615 Feild et al. Apr 2000 A
6067467 John May 2000 A
6080106 Lloyd et al. Jun 2000 A
6081735 Diab et al. Jun 2000 A
6095991 Krausman et al. Aug 2000 A
6102856 Groff et al. Aug 2000 A
6104949 Pitts et al. Aug 2000 A
6112224 Peifer et al. Aug 2000 A
6117077 Del Mar et al. Sep 2000 A
6125297 Siconolfi Sep 2000 A
6129744 Boute et al. Oct 2000 A
6141575 Price Oct 2000 A
6144878 Schroeppel et al. Nov 2000 A
6164284 Schulman et al. Dec 2000 A
6181963 Chin et al. Jan 2001 B1
6185452 Schulman et al. Feb 2001 B1
6190313 Hinkle Feb 2001 B1
6190324 Kieval et al. Feb 2001 B1
6198394 Jacobsen et al. Mar 2001 B1
6198955 Axelgaard et al. Mar 2001 B1
6208894 Schulman et al. Mar 2001 B1
6212427 Hoover Apr 2001 B1
6213942 Flach et al. Apr 2001 B1
6225901 Kail, IV May 2001 B1
6245021 Stampfer Jun 2001 B1
6259939 Rogel Jul 2001 B1
6267730 Pacunas Jul 2001 B1
6272377 Sweeney et al. Aug 2001 B1
6277078 Porat et al. Aug 2001 B1
6287252 Lugo Sep 2001 B1
6289238 Besson et al. Sep 2001 B1
6290646 Cosentino et al. Sep 2001 B1
6295466 Ishikawa et al. Sep 2001 B1
6305943 Pougatchev et al. Oct 2001 B1
6306088 Krausman et al. Oct 2001 B1
6308094 Krausman et al. Oct 2001 B1
6312378 Bardy Nov 2001 B1
6315721 Schulman et al. Nov 2001 B2
6327487 Stratbucker Dec 2001 B1
6336903 Bardy Jan 2002 B1
6339722 Heethaar et al. Jan 2002 B1
6343140 Brooks Jan 2002 B1
6347245 Lee et al. Feb 2002 B1
6358208 Lang et al. Mar 2002 B1
6385473 Haines et al. May 2002 B1
6398727 Bui et al. Jun 2002 B1
6400982 Sweeney et al. Jun 2002 B2
6409674 Brockway et al. Jun 2002 B1
6411853 Millot et al. Jun 2002 B1
6416471 Kumar et al. Jul 2002 B1
6442422 Duckert Aug 2002 B1
6450820 Palsson et al. Sep 2002 B1
6450953 Place et al. Sep 2002 B1
6454707 Casscells, III et al. Sep 2002 B1
6454708 Ferguson et al. Sep 2002 B1
6459930 Takehara et al. Oct 2002 B1
6463328 John Oct 2002 B1
6473640 Erlebacher Oct 2002 B1
6480733 Turcott Nov 2002 B1
6480734 Zhang et al. Nov 2002 B1
6490478 Zhang et al. Dec 2002 B1
6491647 Bridger et al. Dec 2002 B1
6494829 New, Jr. et al. Dec 2002 B1
6496715 Lee et al. Dec 2002 B1
6512949 Combs et al. Jan 2003 B1
6520967 Cauthen Feb 2003 B1
6527711 Stivoric et al. Mar 2003 B1
6527729 Turcott Mar 2003 B1
6544173 West et al. Apr 2003 B2
6544174 West et al. Apr 2003 B2
6551251 Zuckerwar et al. Apr 2003 B2
6551252 Sackner et al. Apr 2003 B2
6569160 Goldin et al. May 2003 B1
6572557 Tchou et al. Jun 2003 B2
6572636 Hagen et al. Jun 2003 B1
6577139 Cooper Jun 2003 B2
6577893 Besson et al. Jun 2003 B1
6577897 Shurubura Jun 2003 B1
6579231 Phipps Jun 2003 B1
6580942 Willshire Jun 2003 B1
6584343 Ransbury et al. Jun 2003 B1
6587715 Singer Jul 2003 B2
6589170 Flach et al. Jul 2003 B1
6595927 Pitts-Crick et al. Jul 2003 B2
6595929 Stivoric et al. Jul 2003 B2
6600949 Turcott Jul 2003 B1
6602201 Hepp et al. Aug 2003 B1
6605038 Teller et al. Aug 2003 B1
6611705 Hopman et al. Aug 2003 B2
6616606 Petersen et al. Sep 2003 B1
6622042 Thacker Sep 2003 B1
6636754 Baura et al. Oct 2003 B1
6641542 Cho et al. Nov 2003 B2
6645153 Kroll et al. Nov 2003 B2
6649829 Garber et al. Nov 2003 B2
6650917 Diab et al. Nov 2003 B2
6658300 Govari et al. Dec 2003 B2
6659947 Carter et al. Dec 2003 B1
6659949 Lang et al. Dec 2003 B1
6687540 Marcovecchio Feb 2004 B2
6697658 Al-Ali Feb 2004 B2
RE38476 Diab et al. Mar 2004 E
6699200 Cao et al. Mar 2004 B2
6701271 Willner et al. Mar 2004 B2
6714813 Ishigooka et al. Mar 2004 B2
RE38492 Diab et al. Apr 2004 E
6721594 Conley et al. Apr 2004 B2
6728572 Hsu et al. Apr 2004 B2
6748269 Thompson et al. Jun 2004 B2
6749566 Russ Jun 2004 B2
6751498 Greenberg et al. Jun 2004 B1
6760617 Ward et al. Jul 2004 B2
6773396 Flach et al. Aug 2004 B2
6775566 Nissila Aug 2004 B2
6790178 Mault et al. Sep 2004 B1
6795722 Sheraton et al. Sep 2004 B2
6814706 Barton et al. Nov 2004 B2
6816744 Garfield et al. Nov 2004 B2
6821249 Casscells et al. Nov 2004 B2
6824515 Suorsa et al. Nov 2004 B2
6827690 Bardy Dec 2004 B2
6829503 Alt Dec 2004 B2
6858006 MacCarter et al. Feb 2005 B2
6871211 Labounty et al. Mar 2005 B2
6878121 Krausman et al. Apr 2005 B2
6879850 Kimball Apr 2005 B2
6881191 Oakley et al. Apr 2005 B2
6887201 Bardy May 2005 B2
6890096 Tokita et al. May 2005 B2
6893396 Schulze et al. May 2005 B2
6894204 Dunshee May 2005 B2
6906530 Geisel Jun 2005 B2
6912414 Tong Jun 2005 B2
6936006 Sarbra Aug 2005 B2
6940403 Kail Sep 2005 B2
6942622 Turcott Sep 2005 B1
6952695 Trinks et al. Oct 2005 B1
6970742 Mann et al. Nov 2005 B2
6972683 Lestienne et al. Dec 2005 B2
6978177 Chen et al. Dec 2005 B1
6980851 Zhu et al. Dec 2005 B2
6980852 Jersey-Willuhn et al. Dec 2005 B2
6985078 Suzuki et al. Jan 2006 B2
6987965 Ng et al. Jan 2006 B2
6988989 Weiner et al. Jan 2006 B2
6993378 Wiederhold et al. Jan 2006 B2
6997879 Turcott Feb 2006 B1
7003346 Singer Feb 2006 B2
7018338 Vetter et al. Mar 2006 B2
7020508 Stivoric et al. Mar 2006 B2
7027862 Dahl et al. Apr 2006 B2
7041062 Friedrichs et al. May 2006 B2
7044911 Drinan et al. May 2006 B2
7047067 Gray et al. May 2006 B2
7050846 Sweeney et al. May 2006 B2
7054679 Hirsh May 2006 B2
7059767 Tokita et al. Jun 2006 B2
7088242 Aupperle et al. Aug 2006 B2
7113826 Henry et al. Sep 2006 B2
7118531 Krill Oct 2006 B2
7127370 Kelly et al. Oct 2006 B2
7129836 Lawson et al. Oct 2006 B2
7130396 Rogers et al. Oct 2006 B2
7130679 Parsonnet et al. Oct 2006 B2
7133716 Kraemer et al. Nov 2006 B2
7136697 Singer Nov 2006 B2
7136703 Cappa et al. Nov 2006 B1
7142907 Xue et al. Nov 2006 B2
7149574 Yun et al. Dec 2006 B2
7149773 Haller et al. Dec 2006 B2
7153262 Stivoric et al. Dec 2006 B2
7156807 Carter et al. Jan 2007 B2
7156808 Quy et al. Jan 2007 B2
7160252 Cho et al. Jan 2007 B2
7160253 Nissila et al. Jan 2007 B2
7166063 Rahman et al. Jan 2007 B2
7167743 Heruth et al. Jan 2007 B2
7184821 Belalcazar et al. Feb 2007 B2
7191000 Zhu et al. Mar 2007 B2
7194306 Turcott Mar 2007 B1
7206630 Tarler Apr 2007 B1
7212849 Zhang et al. May 2007 B2
7215984 Doab et al. May 2007 B2
7215991 Besson et al. May 2007 B2
7238159 Banet et al. Jul 2007 B2
7248916 Bardy Jul 2007 B2
7251524 Hepp et al. Jul 2007 B1
7257438 Kinast Aug 2007 B2
7261690 Teller et al. Aug 2007 B2
7277741 Debreczeny et al. Oct 2007 B2
7284904 Tokita et al. Oct 2007 B2
7285090 Stivoric et al. Oct 2007 B2
7294105 Islam Nov 2007 B1
7295879 Denker et al. Nov 2007 B2
7297119 Westbrook et al. Nov 2007 B2
7318808 Tarassenko et al. Jan 2008 B2
7319386 Collins et al. Jan 2008 B2
7336187 Hubbard, Jr. et al. Feb 2008 B2
7346380 Axelgaard et al. Mar 2008 B2
7382247 Welch et al. Jun 2008 B2
7384398 Gagnadre et al. Jun 2008 B2
7390299 Weiner et al. Jun 2008 B2
7423526 Despotis Sep 2008 B2
7423537 Bonnet et al. Sep 2008 B2
7443302 Reeder et al. Oct 2008 B2
7450024 Wildman et al. Nov 2008 B2
7468032 Stahmann et al. Dec 2008 B2
7701227 Saulnier et al. Apr 2010 B2
7942824 Kayyali et al. May 2011 B1
8116841 Bly et al. Feb 2012 B2
8249686 Libbus et al. Aug 2012 B2
20010047127 New, Jr. et al. Nov 2001 A1
20020019586 Brockway et al. Feb 2002 A1
20020019588 Marro et al. Feb 2002 A1
20020028989 Pelletier et al. Mar 2002 A1
20020032581 Reitberg Mar 2002 A1
20020045836 Alkawwas et al. Apr 2002 A1
20020088465 Hill Jul 2002 A1
20020099277 Harry et al. Jul 2002 A1
20020116009 Fraser et al. Aug 2002 A1
20020123672 Christophersom et al. Sep 2002 A1
20020123674 Plicchi et al. Sep 2002 A1
20020138017 Bui et al. Sep 2002 A1
20020167389 Uchikoba et al. Nov 2002 A1
20020182485 Anderson et al. Dec 2002 A1
20030009092 Parker Jan 2003 A1
20030023184 Pitts-Crick et al. Jan 2003 A1
20030028221 Zhu et al. Feb 2003 A1
20030028321 Brunner et al. Feb 2003 A1
20030051144 Williams Mar 2003 A1
20030055460 Owens et al. Mar 2003 A1
20030083581 Taha et al. May 2003 A1
20030085717 Cooper May 2003 A1
20030087244 McCarthy May 2003 A1
20030092975 Casscells, III et al. May 2003 A1
20030093125 Zhu et al. May 2003 A1
20030093298 Hernandez et al. May 2003 A1
20030100367 Cooke May 2003 A1
20030105411 Smallwood et al. Jun 2003 A1
20030135127 Sackner et al. Jul 2003 A1
20030143544 McCarthy Jul 2003 A1
20030149349 Jensen Aug 2003 A1
20030187370 Kodama Oct 2003 A1
20030191503 Zhu et al. Oct 2003 A1
20030212319 Magill Nov 2003 A1
20030221687 Kaigler Dec 2003 A1
20040006279 Arad (Abboud) Jan 2004 A1
20040010303 Bolea et al. Jan 2004 A1
20040015058 Besson et al. Jan 2004 A1
20040019292 Drinan et al. Jan 2004 A1
20040044293 Burton Mar 2004 A1
20040049132 Barron et al. Mar 2004 A1
20040073094 Baker Apr 2004 A1
20040073126 Rowlandson Apr 2004 A1
20040077954 Oakley et al. Apr 2004 A1
20040100376 Lye et al. May 2004 A1
20040102683 Khanuja et al. May 2004 A1
20040106951 Edman et al. Jun 2004 A1
20040122489 Mazar et al. Jun 2004 A1
20040127790 Lang et al. Jul 2004 A1
20040133079 Mazar et al. Jul 2004 A1
20040133081 Teller et al. Jul 2004 A1
20040134496 Cho et al. Jul 2004 A1
20040143170 DuRousseau Jul 2004 A1
20040147969 Mann et al. Jul 2004 A1
20040152956 Korman Aug 2004 A1
20040158132 Zaleski Aug 2004 A1
20040167389 Brabrand Aug 2004 A1
20040172080 Stadler et al. Sep 2004 A1
20040199056 Husemann et al. Oct 2004 A1
20040215240 Lovett et al. Oct 2004 A1
20040215247 Bolz Oct 2004 A1
20040220639 Mulligan et al. Nov 2004 A1
20040225199 Evanyk et al. Nov 2004 A1
20040225203 Jemison et al. Nov 2004 A1
20040243018 Organ et al. Dec 2004 A1
20040267142 Paul Dec 2004 A1
20050015094 Keller Jan 2005 A1
20050015095 Keller Jan 2005 A1
20050020935 Helzel et al. Jan 2005 A1
20050027175 Yang Feb 2005 A1
20050027204 Kligfield et al. Feb 2005 A1
20050027207 Westbrook et al. Feb 2005 A1
20050027918 Govindarajulu et al. Feb 2005 A1
20050043675 Pastore et al. Feb 2005 A1
20050054944 Nakada et al. Mar 2005 A1
20050059867 Chung Mar 2005 A1
20050065445 Arzbaecher et al. Mar 2005 A1
20050065571 Imran Mar 2005 A1
20050070768 Zhu et al. Mar 2005 A1
20050070778 Lackey et al. Mar 2005 A1
20050080346 Gianchandani et al. Apr 2005 A1
20050080460 Wang et al. Apr 2005 A1
20050080463 Stahmann et al. Apr 2005 A1
20050085734 Tehrani Apr 2005 A1
20050091338 de la Huerga Apr 2005 A1
20050096513 Ozguz et al. May 2005 A1
20050113703 Farringdon et al. May 2005 A1
20050124878 Sharony Jun 2005 A1
20050124901 Misczynski et al. Jun 2005 A1
20050124908 Belalcazar et al. Jun 2005 A1
20050131288 Turner Jun 2005 A1
20050137464 Bomba Jun 2005 A1
20050137626 Pastore et al. Jun 2005 A1
20050148895 Misczynski et al. Jul 2005 A1
20050158539 Murphy et al. Jul 2005 A1
20050177038 Kolpin et al. Aug 2005 A1
20050187482 O'Brien et al. Aug 2005 A1
20050187796 Rosenfeld et al. Aug 2005 A1
20050192488 Bryenton et al. Sep 2005 A1
20050197654 Edman et al. Sep 2005 A1
20050203433 Singer Sep 2005 A1
20050203435 Nakada Sep 2005 A1
20050203436 Davies Sep 2005 A1
20050203637 Edman et al. Sep 2005 A1
20050206518 Welch et al. Sep 2005 A1
20050215914 Bornzin et al. Sep 2005 A1
20050215918 Frantz et al. Sep 2005 A1
20050228234 Yang Oct 2005 A1
20050228238 Monitzer Oct 2005 A1
20050228244 Banet Oct 2005 A1
20050239493 Batkin et al. Oct 2005 A1
20050240087 Keenan et al. Oct 2005 A1
20050251044 Hoctor et al. Nov 2005 A1
20050256418 Mietus et al. Nov 2005 A1
20050261598 Banet et al. Nov 2005 A1
20050261743 Kroll Nov 2005 A1
20050267376 Marossero et al. Dec 2005 A1
20050267377 Marossero et al. Dec 2005 A1
20050273023 Bystrom et al. Dec 2005 A1
20050277841 Shennib Dec 2005 A1
20050277842 Silva Dec 2005 A1
20050277992 Koh et al. Dec 2005 A1
20050280531 Fadem et al. Dec 2005 A1
20050283197 Daum et al. Dec 2005 A1
20050288601 Wood et al. Dec 2005 A1
20060004300 Kennedy Jan 2006 A1
20060004377 Keller Jan 2006 A1
20060009697 Banet et al. Jan 2006 A1
20060009701 Nissila et al. Jan 2006 A1
20060010090 Brockway et al. Jan 2006 A1
20060020218 Freeman et al. Jan 2006 A1
20060025661 Sweeney et al. Feb 2006 A1
20060030781 Shennib Feb 2006 A1
20060030782 Shennib Feb 2006 A1
20060031102 Teller et al. Feb 2006 A1
20060041280 Stahmann et al. Feb 2006 A1
20060047215 Newman et al. Mar 2006 A1
20060052678 Drinan et al. Mar 2006 A1
20060058543 Walter et al. Mar 2006 A1
20060058593 Drinan et al. Mar 2006 A1
20060064030 Cosentino et al. Mar 2006 A1
20060064040 Berger et al. Mar 2006 A1
20060064142 Chavan et al. Mar 2006 A1
20060066449 Johnson Mar 2006 A1
20060074283 Henderson et al. Apr 2006 A1
20060074462 Verhoef Apr 2006 A1
20060075257 Martis et al. Apr 2006 A1
20060084881 Korzinov et al. Apr 2006 A1
20060085049 Cory et al. Apr 2006 A1
20060089679 Zhu et al. Apr 2006 A1
20060094948 Gough et al. May 2006 A1
20060102476 Niwa et al. May 2006 A1
20060116592 Zhou et al. Jun 2006 A1
20060122474 Teller et al. Jun 2006 A1
20060135858 Nidd et al. Jun 2006 A1
20060142654 Rytky Jun 2006 A1
20060142820 Von Arx et al. Jun 2006 A1
20060149168 Czarnek Jul 2006 A1
20060155183 Kroecker et al. Jul 2006 A1
20060155200 Ng Jul 2006 A1
20060161073 Singer Jul 2006 A1
20060161205 Mitrani et al. Jul 2006 A1
20060161459 Rosenfeld et al. Jul 2006 A9
20060167374 Takehara et al. Jul 2006 A1
20060173257 Nagai et al. Aug 2006 A1
20060173269 Glossop Aug 2006 A1
20060195020 Martin et al. Aug 2006 A1
20060195039 Drew et al. Aug 2006 A1
20060195097 Evans et al. Aug 2006 A1
20060195144 Giftakis et al. Aug 2006 A1
20060202816 Crump et al. Sep 2006 A1
20060212097 Varadan et al. Sep 2006 A1
20060224051 Teller et al. Oct 2006 A1
20060224072 Shennib Oct 2006 A1
20060224079 Washchuk Oct 2006 A1
20060235281 Tuccillo Oct 2006 A1
20060235316 Ungless et al. Oct 2006 A1
20060235489 Drew et al. Oct 2006 A1
20060241641 Albans et al. Oct 2006 A1
20060241701 Markowitz et al. Oct 2006 A1
20060241722 Thacker et al. Oct 2006 A1
20060247545 St. Martin Nov 2006 A1
20060252999 Devaul et al. Nov 2006 A1
20060253005 Drinan et al. Nov 2006 A1
20060253044 Zhang et al. Nov 2006 A1
20060258952 Stahmann et al. Nov 2006 A1
20060264730 Stivoric et al. Nov 2006 A1
20060264767 Shennib Nov 2006 A1
20060264776 Stahmann et al. Nov 2006 A1
20060271116 Stahmann et al. Nov 2006 A1
20060276714 Holt et al. Dec 2006 A1
20060281981 Jang et al. Dec 2006 A1
20060281996 Kuo et al. Dec 2006 A1
20060293571 Bao et al. Dec 2006 A1
20060293609 Stahmann et al. Dec 2006 A1
20070010721 Chen et al. Jan 2007 A1
20070010750 Ueno et al. Jan 2007 A1
20070015973 Nanikashvili et al. Jan 2007 A1
20070015976 Miesel et al. Jan 2007 A1
20070016089 Fischell et al. Jan 2007 A1
20070021678 Beck et al. Jan 2007 A1
20070021790 Kieval et al. Jan 2007 A1
20070021792 Kieval et al. Jan 2007 A1
20070021794 Kieval et al. Jan 2007 A1
20070021796 Kieval et al. Jan 2007 A1
20070021797 Kieval et al. Jan 2007 A1
20070021798 Kieval et al. Jan 2007 A1
20070021799 Kieval et al. Jan 2007 A1
20070027388 Chou Feb 2007 A1
20070027497 Parnis Feb 2007 A1
20070038038 Stivoric et al. Feb 2007 A1
20070038078 Osadchy Feb 2007 A1
20070038255 Kieval et al. Feb 2007 A1
20070038262 Kieval et al. Feb 2007 A1
20070043301 Martinsen et al. Feb 2007 A1
20070043303 Osypka et al. Feb 2007 A1
20070048224 Howell et al. Mar 2007 A1
20070060800 Drinan et al. Mar 2007 A1
20070060802 Ghevondian et al. Mar 2007 A1
20070073132 Vosch Mar 2007 A1
20070073168 Zhang et al. Mar 2007 A1
20070073181 Pu et al. Mar 2007 A1
20070073361 Goren et al. Mar 2007 A1
20070082189 Gillette Apr 2007 A1
20070083092 Rippo et al. Apr 2007 A1
20070092862 Gerber Apr 2007 A1
20070100666 Stivoric May 2007 A1
20070104840 Singer May 2007 A1
20070106132 Elhag et al. May 2007 A1
20070106137 Baker, Jr. et al. May 2007 A1
20070106167 Kinast May 2007 A1
20070118039 Bodecker et al. May 2007 A1
20070123756 Kitajima et al. May 2007 A1
20070123903 Raymond et al. May 2007 A1
20070123904 Stad et al. May 2007 A1
20070129622 Bourget et al. Jun 2007 A1
20070129643 Kwok Jun 2007 A1
20070129769 Bourget et al. Jun 2007 A1
20070142715 Banet et al. Jun 2007 A1
20070142732 Brockway et al. Jun 2007 A1
20070149282 Lu et al. Jun 2007 A1
20070150008 Jones et al. Jun 2007 A1
20070150009 Kveen et al. Jun 2007 A1
20070150029 Bourget et al. Jun 2007 A1
20070162089 Mosesov Jul 2007 A1
20070167753 Van Wyk et al. Jul 2007 A1
20070167848 Kuo et al. Jul 2007 A1
20070167849 Zhang et al. Jul 2007 A1
20070167850 Russell et al. Jul 2007 A1
20070172424 Roser Jul 2007 A1
20070173705 Teller et al. Jul 2007 A1
20070180047 Dong et al. Aug 2007 A1
20070180140 Welch et al. Aug 2007 A1
20070191723 Prystowsky et al. Aug 2007 A1
20070207858 Breving Sep 2007 A1
20070208233 Kovacs Sep 2007 A1
20070208235 Besson et al. Sep 2007 A1
20070208262 Kovacs Sep 2007 A1
20070232867 Hansmann Oct 2007 A1
20070249946 Kumar et al. Oct 2007 A1
20070250121 Miesel et al. Oct 2007 A1
20070255120 Rosnov Nov 2007 A1
20070255153 Kumar et al. Nov 2007 A1
20070255184 Shennib Nov 2007 A1
20070255531 Drew Nov 2007 A1
20070260133 Meyer Nov 2007 A1
20070260155 Rapoport et al. Nov 2007 A1
20070260289 Giftakis et al. Nov 2007 A1
20070273504 Tran Nov 2007 A1
20070276273 Watson, Jr. Nov 2007 A1
20070282173 Wang et al. Dec 2007 A1
20070299325 Farrell et al. Dec 2007 A1
20080004499 Davis Jan 2008 A1
20080004904 Tran Jan 2008 A1
20080024293 Stylos Jan 2008 A1
20080024294 Mazar Jan 2008 A1
20080033260 Sheppard et al. Feb 2008 A1
20080039700 Drinan et al. Feb 2008 A1
20080120784 Warner et al. Feb 2008 A1
20080058614 Banet et al. Mar 2008 A1
20080059239 Gerst et al. Mar 2008 A1
20080091089 Guillory et al. Apr 2008 A1
20080114220 Banet et al. May 2008 A1
20080139934 McMorrow et al. Jun 2008 A1
20080146892 LeBoeuf et al. Jun 2008 A1
20080167538 Teller et al. Jul 2008 A1
20080171918 Teller et al. Jul 2008 A1
20080171922 Teller et al. Jul 2008 A1
20080171929 Katims Jul 2008 A1
20080183052 Teller et al. Jul 2008 A1
20080200774 Luo Aug 2008 A1
20080214903 Orbach Sep 2008 A1
20080220865 Hsu Sep 2008 A1
20080221399 Zhou et al. Sep 2008 A1
20080221402 Despotis Sep 2008 A1
20080224852 Dicks et al. Sep 2008 A1
20080228084 Bedard et al. Sep 2008 A1
20080275465 Paul et al. Nov 2008 A1
20080287751 Stivoric et al. Nov 2008 A1
20080287752 Stroetz et al. Nov 2008 A1
20080293491 Wu et al. Nov 2008 A1
20080294019 Tran Nov 2008 A1
20080294020 Sapounas Nov 2008 A1
20080318681 Rofougaran et al. Dec 2008 A1
20080319279 Ramsay et al. Dec 2008 A1
20080319282 Tran Dec 2008 A1
20080319290 Mao et al. Dec 2008 A1
20090005016 Eng et al. Jan 2009 A1
20090018410 Coene et al. Jan 2009 A1
20090018456 Hung Jan 2009 A1
20090048526 Aarts et al. Feb 2009 A1
20090054737 Magar et al. Feb 2009 A1
20090062670 Sterling et al. Mar 2009 A1
20090073991 Landrum et al. Mar 2009 A1
20090076336 Mazar et al. Mar 2009 A1
20090076340 Libbus 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
20090076344 Libbus et al. Mar 2009 A1
20090076345 Manicka et al. Mar 2009 A1
20090076346 James et al. Mar 2009 A1
20090076348 Manicka et al. Mar 2009 A1
20090076349 Libbus et al. Mar 2009 A1
20090076350 Bly et al. Mar 2009 A1
20090076363 Bly et al. Mar 2009 A1
20090076397 Libbus et al. Mar 2009 A1
20090076401 Mazar et al. Mar 2009 A1
20090076405 Amurthur et al. Mar 2009 A1
20090076410 Libbus et al. Mar 2009 A1
20090076559 Libbus et al. Mar 2009 A1
20090182204 Semler et al. Jul 2009 A1
20090234410 Libbus et al. Sep 2009 A1
20090292194 Libbus et al. Nov 2009 A1
20100056881 Libbus et al. Mar 2010 A1
20100191310 Bly et al. Jul 2010 A1
20110144470 Mazar et al. Jun 2011 A1
20110245711 Katra et al. Oct 2011 A1
20110270049 Katra et al. Nov 2011 A1
Foreign Referenced Citations (16)
Number Date Country
2003220574 Oct 2003 AU
1487535 Dec 2004 EP
1579801 Sep 2005 EP
2005-521448 Jul 2005 JP
WO 2000079255 Dec 2000 WO
WO 2001089362 Nov 2001 WO
WO 02092101 Nov 2002 WO
WO 03082080 Oct 2003 WO
WO 2005051164 Jun 2005 WO
WO 2005104930 Nov 2005 WO
WO 2006008745 Jan 2006 WO
WO 2006102476 Sep 2006 WO
WO 2006111878 Oct 2006 WO
WO 2007041783 Apr 2007 WO
WO 2007106455 Sep 2007 WO
WO 2009116906 Sep 2009 WO
Non-Patent Literature Citations (174)
Entry
Goovaerts, et al. “Extra-cellular volume estimation by electrical impedance—phase measurement or curve fitting: a comparative study” Phyusiol. Meas. 19 pp. 517-526 (1998).
Abraham, “New approaches to monitoring heart failure before symptoms appear”, Rev. Cardiovasc. Med., vol. 7 Suppl 1, 2006, pp. 33-41.
Acute Decompensated Heart Failure, Wikipedia Entry, downloaded from: http://en.wikipedia.org/wiki/Acute_decompensated_heart_failure, downloaded Feb. 11, 2011, 6 pages.
Adams, Jr., “Guiding heart failure care by invasive hemodynamic measurements: possible or useful?”, Journal of Cardiac Failure, vol. 8 (2), 2002, pp. 71-73.
Adamson et al., “Continuous autonomic assessment in patients with symptomatic heart failure: prognostic value of heart rate variability measured by an implanted cardiac resynchronization device”, Circulation, vol. 110, 2004, pp. 2389-2394.
Adamson, “Integrating device monitoring into the infrastructure and workflow of routine practice”, Rev. Cardiovasc. Med., vol. 7 Suppl 1, 2006, pp. 42-60.
Adamson et al., “Ongoing right ventricular hemodynamics in heart failure”, J. Am. Coll. Cardiol, vol. 41, 2003, pp. 565-570.
Advamed, “Health Information Technology: Improving Patient Safety and Quality of Care”, Jun. 2005, 23 pages.
Aghababian, “Acutely decompensated heart failure: opportunities to improve care and outcomes in the emergency department”, Rev. Cardiovasc. Med., vol. 3 Suppl 4, 2002, pp. S3-S9.
Albert, “Bioimpedance to prevent heart failure hospitalization”, Curr Heart Fail Rep., vol. 3 (3), Sep. 2006, pp. 136-142.
American Heart Association, “Heart Disease and Stroke Statistics—2006 Update”, 2006, 43 pages.
American Heart Association, “Heart Disease and Stroke Statistics—2007 Update”, A Report from the American Heart Association Statistics Committee and Stroke Statistics Subcommittee; Circulation, 115, 2007, pp. e69-e171.
Amurthur et al., “U.S. Appl. No. 60/972,359”, filed Sep. 14, 2007.
Amurthur et al., “U.S. Appl. No. 60/972,363”, filed Sep. 14, 2007.
Belalcazar et al., “Monitoring lung edema using the pacemaker pulse and skin electrodes”, Physiol. Meas., vol. 26, 2005, pp. S153-S163.
Bennett, “Development of implantable devices for continuous ambulatory monitoring of central hemodynamic values in heart failure patients”, PACE, vol. 28, Jun. 2005, pp. 573-584.
Bly et al., “U.S. Appl. No. 60/972,333”, filed Sep. 14, 2007.
Bly et al., “U.S. Appl. No. 60/972,629”, filed Sep. 14, 2007.
Bly et al., “U.S. Appl. No. 61/055,645”, filed May 23, 2008.
Bly, Mark, “U.S. Appl. No. 61/084,567”, filed Jul. 29, 2008.
Bourge, “Case studies in advanced monitoring with the chronicle device”, Rev Cardiovasc Med., vol. 7 Suppl 1, 2006, pp. S56-S61.
Braunschweig, “Continuous hemodynamic monitoring during withdrawal of diuretics in patients with congestive heart failure”, European Heart Journal, vol. 23 (1), 2002, pp. 59-69.
Braunschweig, “Dynamic changes in right ventricular pressures during hemodialysis recorded with an implantable hemodynamic monitor”, Nephrol Dial Transplant, vol. 21, 2006, pp. 176-183.
Buono et al., “The effect of ambient air temperature on whole-body bioelectrical impedance”, Physiol. Meas., vol. 25, 2004, pp. 119-123.
Burkhoff et al., “Heart failure with a normal ejection fraction: Is it really a disorder of diastolic function?”, Circulation, vol. 107, 2003, pp. 656-658.
Burr et al., “Heart rate variability and 24-hour minimum heart rate”, Biological Research for Nursing, vol. 7 (4), 2006, pp. 256-267.
Cardionet, “CardioNet Mobile Cardiac Outpatient Telemetry: Addendum to Patient Education Guide”, CardioNet, Inc., 2007, 2 pages.
Cardionet, “Patient Education Guide”, CardioNet, Inc., 2007, 7 pages.
Charach et al., “Transthoracic monitoring of the impedance of the right lung in patients with cardiogenic pulmonary edema”, Crit Care Med, vol. 29 (6), 2001, pp. 1137-1144.
Charlson et al., “Can disease management target patients most likely to generate high costs? The Impact of Comorbidity”, Journal of General Internal Medicine, vol. 22 (4), 2007, pp. 464-469.
Chaudhry et al., “Telemonitoring for patients with chronic heart failure: a systematic review”, J Card Fail., vol. 13 (1), Feb. 2007, pp. 56-62.
Chung et al., “White coat hypertension: Not so benign after all?”, Journal of Human Hypertension, vol. 17, 2003, pp. 807-809.
Cleland et al., “The EuroHeart Failure survey programme—a survey on the quality of care among patients with heart failure in Europe—Part 1: patient characteristics and diagnosis”, European Heart Journal, vol. 24 (5), 2003, pp. 442-463.
Cooley, “The Parameters of Transthoracic Electrical Conduction”, Annals of the New York Academy of Sciences, vol. 170 (2), 1970, pp. 702-713.
Cowie et al., “Hospitalization of patients with heart failure. A population-based study”, European Heart Journal, vol. 23 (11), 2002, pp. 877-885.
Dimri, “Chapter 1: Fractals in geophysics and semiology: an introduction”, Fractal Behaviour of the Earth System, Springer Berlin Heidelberg, Summary and 1st page Only, 2005, pp. 1-22.
El-Dawlatly et al., “Impedance cardiography: noninvasive assessment of hemodynamics and thoracic fluid content during bariatric surgery”, Obesity Surgery, vol. 15 (5), May 2005, pp. 655-658.
EM Microelectronic, Marin SA, “Plastic Flexible LCD”, Product Brochure, retrieved from http://www.emmicroelectronic.com/Line.asp?IdLine=48, 2009, 2 pages.
Erdmann, “Editorials: The value of diuretics in chronic heart failure demonstrated by an implanted hemodynamic monitor”, European Heart Journal, vol. 23 (1), 2002, pp. 7-9.
FDA—Draft questions for Chronicle Advisory Panel Meeting, retrieved from http://www.fda.gov/ohrms/dockets/ac/07/questions/2007-4284q1_draft.pdf, 2007, 3 pages.
FDA—Medtronic Chronicle Implantable Hemodynamic Monitoring System P050032, Panel Package Section 11: Chronicle IHM Summary of Safety and Effectiveness, 2007, 77 pages.
FDA—References for Circulatory System Devices Panel, retrieved from http://www.fda.gov/OHRMS/DOCKETS/AC/07/briefing/2007-4284bib1_01.pdf, Mar. 1, 2007, 1 page.
FDA Executive Summary Memorandum, meeting of the Circulatory Systems Devices Advisory Panel, P050032 Medtronic, Inc. Chronicle Implantable Hemodynamic Monitor (IHM) System, retrieved from http://www.fda.gov.ohrms/dockets/ac/07/briefing/2007-4284b1_02.pdf, Mar. 1, 2007, 23 pages.
FDA Executive Summary, Medtronic Chronicle Implantable Hemodynamic Monitoring System P050032: Executive Summary, Panel Package Sponsor Executive Summary, vol. 1, Sec. 4, retrieved from http://www.fda.gov/OHRMS/DOCKETS/AC/07/briefing/2007-4284b1_03.pdf, 2007, 12 pages.
FDA Panel Recommendation, Chronicle Analysis, Mar. 1, 2007, 14 pages.
FDA—Medtronic Inc., “Chronicle 9520B Implantable Hemodynamic Monitor Reference Manual”, 2007, 112 pages.
Flach, Terry E., “U.S. Appl. No. 60/006,600”, filed Nov. 13, 1995.
Fonarow, “How well are chronic heart failure patients being managed”, Rev Cardiovasc Med., vol. 7 Suppl 1, 2006, pp. S3-S11.
Fonarow, “Proactive monitoring and management of the chronic heart failure patient”, Rev Cardiovasc Med., vol. 7 Suppl 1, 2006, pp. S1-S2.
Fonarow et al., “Risk stratification for in-hospital mortality in acutely decompensated heart failure: classification and regression tree analysis”, JAMA, vol. 293 (5), Feb. 2, 2005, pp. 572-580.
Fonarow, “The Acute Decompensated Heart Failure National Registry (ADHERE): opportunities to improve care of patients hospitalized with acute decompensated heart failure”, Rev Cardiovasc Med., vol. 4 Suppl 7, 2003, pp. S21-S30.
Ganion et al., “Intrathoracic impedance to monitor heart failure status: a comparison of two methods in a chronic heart failure dog model”, Congest Heart Fail., vol. 11 (4), 2005, pp. 177-181, 211.
Gass et al., “Critical pathways in the management of acute decompensated heart failure: A CME-Accredited monograph”, Mount Sinai School of Medicine, 2004, 32 pages.
Gheorghiade et al., “Congestion is an important diagnostic and therapeutic target in heart failure”, Rev Cardiovasc Med., vol. 7 Suppl 1, 2006, pp. 12-24.
Gilliam, III et al., “Changes in heart rate variability, quality of life, and activity in cardiac resynchronization therapy patients: results of the HF-HRV registry”, Pacing and Clinical Electrophysiology, vol. 30 (1), Jan. 18, 2007, pp. 56-64.
Gilliam, III et al., “Prognostic value of heart rate variability footprint and standard deviation of average 5-minute intrinsic R-R intervals for mortality in cardiac resynchronization therapy patients”, J Electrocardiol., vol. 40 (4), Oct. 2007, pp. 336-342.
Gniadecka et al., “Localization of dermal edema in lipodermatosclerosis, lymphedema, and cardiac insufficiency high-frequency ultrasound examination of intradermal echogenicity”, J Am Acad oDermatol, vol. 35 (1), Jul. 1996, pp. 37-41.
Goldberg et al., “Randomized trial of a daily electronic home monitoring system in patients with advanced heart failure: The Weight Monitoring in Heart Failure (WHARF) Trial”, American Heart Journal, vol. 416 (4), Oct. 2003, pp. 705-712.
Grap et al., “Actigraphy in the Critically III: Correlation with Activity, Agitation, and Sedation”, American Journal of Critical Care, vol. 14, 2005, pp. 52-60.
Gudivaka et al., “Single and multifrequency models for bioelectrical impedance analysis of body water compartments”, J Appl Physiol, vol. 87 (3), 1999, pp. 1087-1096.
Guyton et al., “Unit V: The Body Fluids and Kidneys, Chapter 25: The Body Fluid Compartments: Extracellular and Intracellular Fluids; Interstitial Fluid and Edema”, Guyton and Hall Textbook of Medical Physiology 11th Edition, Saunders, 2005, pp. 291-306.
Hadase et al., “Very low frequency power of heart rate variability is a powerful predictor of clinical prognosis in patients with congestive heart failure”, Circ J., vol. 68 (4), 2004, pp. 343-347.
Hallstrom et al., “Structural relationships between measures based on heart beat intervals: potential for improved risk assessment”, IEEE Biomedical Engineering, vol. 51 (8), 2004, pp. 1414-1420.
Heart Failure, Wikipedia Entry, downloaded from http://en.wikipedia.org/wiki/Heart_failure, downloaded Feb. 11, 2011, 17 pages.
HFSA Comprehensive Heart Failure Practice Guideline—Executive Summary: HFSA Comprehensive Heart Failure Practice Guideline, Journal of Cardiac Failure, vol. 12 (1), 2006, pp. E86-E103.
HFSA Comprehensive Heart Failure Practice Guideline—Section 12: Evaluation and Management of Patients with Acute Decompensated Heart Failure, Journal of Cardiac Failure, vol. 12 (1), 2006, pp. E86-E103.
HFSA Comprehensive Heart Failure Practice Guideline—Section 2: Conceptualization and Working Definition of Heart Failure, Journal of Cardiac Failure, vol. 12 (1), 2006, pp. E10-E11.
HFSA Comprehensive Heart Failure Practice Guideline—Section 4: Evaluation of Patients for Ventricular Dysfunction and Heart Failure, Journal of Cardiac Failure, vol. 12 (1), 2006, pp. E16-E25.
HFSA Comprehensive Heart Failure Practice Guideline—Section 8: Disease Management in Heart Failure Education and Counseling, Journal of Cardiac Failure, vol. 12 (1), 2006, pp. E58-E68.
HFSA Comprehensive Heart Failure Practice Guideline—Section 3: Prevention of Ventricular Remodeling Cardiac Dysfunction, and Heart Failure Overview, Journal of Cardiac Failure, vol. 12 (1), 2006, pp. E12-E15.
HRV Enterprises LLC, “Heart Rate Variability Seminars”, downloaded from http://hrventerprise.com, downloaded Apr. 24, 2008, 3 pages.
HRV Enterprises LLC, “LoggerPro HRV Biosignal Analysis”, downloaded from http://hrventerprise.com/products.html, downloaded Apr. 24, 2008, 3 pages.
Hunt et al., “ACC/AHA Guideline Update for the Diagnosis and Management of Chronic Heart Failure in the Adult: A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines:”, Developed in Collaboration with the American College of Chest Physicians and the International Society for Heart and Lung Transplantation: Endorsed by the Heart Rhythm Society, Circulation, vol. 112, 2005, E154-E235.
Hunt et al., “ACC/AHA Guidelines for the Evaluation and Management of Chronic Heart Failure in the Adult: Executive Summary A Report of the American Colleg of Cardiology/American Heart Association Task Force on Practice Guidelines”, Circulation, vol. 104, 2001, pp. 2996-3007.
Imhoff et al., “Noninvasive whole-body electrical bioimpedance cardiac output and invasive thermodilution cardiac output in high-risk surgical patients”, Critical Care Medicine, vol. 28 (8), 2000, pp. 21812-22818.
Jaeger et al., “Evidence for Increased Intrathoracic Fluid Volume in Man at High Altitude”, J Appl Physiol., vol. 47 (6), 1979, pp. 670-676.
Jaio et al., “Variance fractal dimension analysis of seismic refraction signals”, WESCANEX 97: Communications, Power and Computing, IEEE Conference Proceedings, May 22-23, 1997, pp. 163-167.
Jerant et al., “Reducing the cost of frequent hospital admissions for congestive heart failure: a randomized trial of a home telecare intervention”, Medical Care, vol. 39 (11), 2001, pp. 1234-1245.
Kasper et al., “A randomized trial of the efficacy of multidisciplinary care in heart failure outpatients at high risk of hospital readmission”, J Am Coll Cardiol, vol. 39, 2002, pp. 471-480.
Kaukinen, “Cardiac output measurement after coronary artery bypass grafting using bolus thermodilution, continuous thermodilution, and whole-body impedance cardiography”, Journal of Cardiothoracic and Vascular Anesthesia, vol. 17 (2), 2003, pp. 199-203.
Kawaguchi et al., “Combined ventricular systolic and arterial stiffening in patients with heart failure and preserved ejection fraction: implications for systolic and diastolic reserve limitations”, Circulation, vol. 107, 2003, pp. 714-720.
Kawasaki et al., “Heart rate turbulence and clinical prognosis in hypertrophic cardiomyopathy and myocardial infarction”, Circ J., vol. 67 (7), 2003, pp. 601-604.
Kearney et al., “Predicting death due to progressive heart failure in patients with mild-to-moderate chronic heart failure”, J Am Coll Cardiol, vol. 40 (10), 2002, pp. 1801-1808.
Kitzman et al., “Pathophysiological characterization of isolated diastolic heart failure in comparison to systolic heart failure”, JAMA, vol. 288 (17), Nov. 2002, pp. 2144-2150.
Koobi et al., “Non-invasive measurement of cardiac output: whole-body impedance cardiography in simultaneous comparison with thermodilution and direct oxygen Fick methods”, Intensive Care Medicine, vol. 23 (11), 1997, pp. 1132-1137.
Koyama et al., “Evaluation of heart-rate turbulence as a new prognostic marker in patients with chronic heart failure”, Circ J, vol. 66 (10), 2002, pp. 902-907.
Kristofer et al., “U.S. Appl. No. 60/972,336”, filed Sep. 14, 2007.
Kristofer et al., “U.S. Appl. No. 60/972,340”, filed Sep. 14, 2007.
Kristofer et al., “U.S. Appl. No. 60/972,343”, filed Sep. 14, 2007.
Krumholz et al., “Predictors of readmission among elderly survivors of admission with heart failure”, American Heart Journal, vol. 139 (1), 2000, pp. 72-77.
Kyle et al., “Bioelectrical Impedance Analysis—part I: review of principles and methods”, Clin Nutr., vol. 23 (5), Oct. 2004, pp. 1226-1243.
Kyle et al., “Bioelectrical Impedance Analysis—part II: utilization in clinical practice”, Clin Nutr., vol. 23 (5), Oct. 2004, pp. 1430-1453.
Landrum, Brett, “U.S. Appl. No. 61/079,746”, filed Jul. 10, 2008.
Lee et al., “Predicting mortality among patients hospitalized for heart failure: derivation and validation of a clinical model”, JAMA, vol. 290 (19), 2003, pp. 2581-2587.
Leier, “The Physical Examination in Heart Failure—Part I”, Congest Hear Fail., vol. 13 (1), Jan.-Feb. 2007, pp. 41-47.
Libbbus et al., “U.S. Appl. No. 61/055,662”, filed May 23, 2008.
Libbus et al., “U.S. Appl. No. 60/972,316”, filed Sep. 12, 2008.
Libbus et al., “U.S. Appl. No. 60/972,512”, filed Sep. 14, 2007.
Libbus et al., “U.S. Appl. No. 60/972,581”, filed Sep. 14, 2007.
Libbus et al., “U.S. Appl. No. 60/972,616”, filed Sep. 14, 2007.
Libbus et al., “U.S. Appl. No. 61/035,970”, filed Mar. 12, 2008.
Libbus et al., “U.S. Appl. No. 61/047,875”, filed Apr. 25, 2008.
Libbus et al., “U.S. Appl. No. 61/055,656”, filed May 23, 2008.
Liu et al., “Fractal analysis with applications to seismological pattern recognition of underground nuclear explosions”, Signal Processing, vol. 80 (9), Sep. 2000, pp. 1849-1861.
Lozano-Nieto, “Impedance ratio in bioelectrical impedance measurements for body fluid shift determination”, Proceedings of the IEEE 24th Annual Northeast Bioengineering Conference, Apr. 9-10, 1998, pp. 24-25.
Lucreziotti et al., “Five-minute recording of heart rate variability in severe chronic heart failure: Correlates with right ventricular function and prognostic implications”, American Heart Journal, vol. 139 (6), 2000, pp. 1088-1095.
Luthje et al., “Detection of heart failure decompensation using intrathoracic impedance monitoring by a triple-chamber implantable defibrillator”, Heart Rhythm, vol. 2 (9), Sep. 2005, pp. 997-999.
Magalski et al., “Continuous ambulatory right heart pressure measurements with an implantable hemodynamic monitor: a multicenter, 12-Month Follow-Up Study of Patients with Chronic Heart Failure”, J Card Fail, vol. 8 (2), 2002, pp. 63-70.
Mahlberg et al., “Actigraphy in agitated patients with dementia: Monitoring treatment outcomes”, Zeitschrift fur Gerontologie and Geriatrie, vol. 40 (3), Jun. 2007, pp. 178-184.
Manicka et al., “U.S. Appl. No. 60/972,329”, filed Sep. 14, 2007.
Manicka et al., “U.S. Appl. No. 60/972,537”, filed Sep. 14, 2007.
Manicka et al., “U.S. Appl. No. 61/055,666”, filed May 23, 2008.
Matthie et al., “Analytic assessment of the various bioimpedance methods used to estimate body water”, Appl Physiol, vol. 84 (5), 1998, pp. 1801-1816.
Matthie et al., “Second generation mixture theory equation for estimating intracellular water using bioimpedance spectroscopy”, J Appl Physiol, vol. 99, 2005, pp. 780-781.
Mazar et al., “U.S. Appl. No. 60/972,354”, filed Sep. 14, 2007.
Mazar, Scott T., “U.S. Appl. No. 61/046,196”, filed Apr. 18, 2008.
McMurray et al., “Heart Failure: Epidemiology, Aetiology, and Prognosis of Heart Failure”, Heart, vol. 83, 2000, pp. 596-602.
Miller, “Home monitoring for congestive heart failure patients”, Caring Magazine, Aug. 1995, pp. 53-54.
Moser et al., “Improving outcomes in heart failure: it's not unusual beyond usual Care”, Circulation, vol. 105, 2002, pp. 2810-2812.
Nagels et al., “Actigraphic measurement of agitated behaviour in dementia”, International Journal of Geriatric Psychiatry, vol. 21 (4), 2009, pp. 388-393.
Nakamura et al., “Universal scaling law in human behavioral organization”, Physical Review Letters, vol. 99 (13), Sep. 28, 2007, 4 pages.
Nakaya, “Fractal properties of seismicity in regions affected by large, shallow earthquakes in western Japan: Implications for fault formation processes based on a binary fractal fracture network model”, Journal of Geophysical Research, vol. 11 (B1), Jan. 2005, pp. B01310.1-B01310.15.
Naylor et al., “Comprehensive discharge planning for the hospitalized elderly: a randomized clinical trial”, Amer. College Physicians, vol. 120 (12), 1994, pp. 999-1006.
Nieminen et al., “EuroHeart Failure Survey II (EHFSII): a survey on hospitalized acute heart failure patients: description of population”, European Heart Journal, vol. 27 (22), 2006, pp. 2725-2736.
Nijsen et al., “The potential value of three-dimensional accelerometry for detection of motor seizures in severe epilepsy”, Epilepsy Behav., vol. 7 (1), Aug. 2005, pp. 74-84.
Noble et al., “Diuretic induced change in lung water assessed by electrical impedance tomography”, Physiol. Meas., vol. 21 (1), 2000, pp. 155-163.
Noble et al., “Monitoring patients with left ventricular failure by electrical impedance tomography”, Eur J Heart Fail., vol. 1 (4), Dec. 1999, pp. 379-384.
O'Connell et al., “Economic impact of heart failure in the United States: time for a different approach”, J Heart Lung Transplant., vol. 13 (4), Jul.-Aug. 1994, p. S107-S112.
Ohlsson et al., “Central hemodynamic responses during serial exercise tests in heart failure patients using implantable hemodynamic monitors”, Eur J Heart Fail., vol. 5 (3), Jun. 2003, pp. 253-259.
Ohlsson et al., “Continuous ambulatory monitoring of absolute right ventricular pressure and mixed venous oxygen saturation in patients with heart failure using an implantable hemodynamic monitor”, European Heart Journal, vol. 22 (11), 2001, pp. 942-954.
Packer et al., “Utility of impedance cardiography for the identification of short-term risk of clinical decompensation in stable patients with chronic heart failure”, J. Am. Coll Cardiol, vol. 47 (11), 2006, pp. 2245-2252.
Palatini et al., “Predictive value of clinic and ambulatory heart rate for mortality in elderly subjects with systolic hypertension”, Arch Intern Med., vol. 162, 2002, pp. 2313-2321.
Piiria et al., “Crackles in patients with fibrosing alveolitis bronchiectasis, COPD, and Heart Failure”, Chest, vol. 99 (5), May 1991, pp. 1076-1083.
Pocock et al., “Predictors of mortality in patients with chronic heart failure”, Eur Heart J, vol. 27, 2006, pp. 65-75.
Poole-Wilson et al., “Importance of control of fluid volumes in heart failure”, European Heart Journal, vol. 22 (11), 2000, pp. 893-894.
Raj et al., “Letter Regarding Article by Adamson et al.” Continuous Autonomic Assessment in Patients with Symptomatic Heart Failure: Prognostic Value of Heart Rate Variability Measured by an Implanted Cardiac Resynchronization Device, Circulation, vol. 112, 2005, pp. E37-E38.
Ramirez et al., “Prognostic value of hemodynamic findings from impedance cardiography in hypertensive stroke”, AJH, vol. 18 (20), 2005, pp. 65-72.
Rich et al., “A multidisciplinary intervention to prevent the readmission of elderly patients with congestive heart failure”, New Engl. J. Med., vol. 333, 1995, pp. 1190-1195.
Roglieri et al., “Disease management interventions to improve outcomes in congestive heart failure”, Am J. Manag Care., vol. 3 (12), Dec. 1997, pp. 1831-1839.
Sahalos et al., “The electrical impedance of the human thorax as a guide in evaluation of intrathoracic fluid volume”, Phys. Med. Biol., vol. 31, 1986, pp. 425-439.
Saxon et al., “Remote active monitoring in patients with heart failure (rapid-rf): design and rationale”, Journal of Cardiac Failure, vol. 13 (4), 2007, pp. 241-246.
Scharf et al., “Direct digital capture of pulse oximetry waveforms”, Proceedings of the Twelfth Southern Biomedical Engineering Conference, 1993, pp. 230-232.
Shabetai, “Monitoring heart failure hemodynamics with an implanted device: its potential to improve outcome”, J Am Coll Cardiol, vol. 41, 2003, pp. 572-573.
Small, “Integrating monitoring into the infrastructure and workflow of routine practice: OptiVol”, Rev Cardiovasc Med., vol. 7 Supp 1, 2006, pp. S47-S55.
Smith et al., “Outcomes in heart failure patients with preserved ejection fraction: mortality, readmission, and functional decline”, J Am Coll Cardiol, vol. 41, 2003, pp. 1510-1518.
Someren, “Actigraphic monitoring of movement and rest-activity rhythms in aging, Alzheimer's disease, and Parkinson's disease”, IEEE Transactions on Rehabilitation Engineering, vol. 5 (4), Dec. 1997, pp. 394-398.
Starling, “Improving care of chronic heart failure: advances from drugs to devices”, Cleveland Clinic Journal of Medicine, vol. 70 (2), Feb. 2003, pp. 141-146.
Steijaert et al., “The use of multi-frequency impedance to determine total body water and extracellular water in obese and lean female individuals”, International Journal of Obesity, vol. 21 (10), Oct. 1997, pp. 930-934.
Stewart et al., “Effects of a home-based intervention among patients with congestive heart failure discharged from acute hospital care”, Arch Intern Med., vol. 158, 1998, pp. 1067-1072.
Stewart et al., “Effects of a multidisciplinary, home-based intervention on planned readmissions and survival among patients with chronic congestive heart failure: a randomized controlled study”, The Lancet, vol. 354 (9184), Sep. 1999, pp. 1077-1083.
Stewart et al., “Home-based intervention in congestive heart failure: long-term implications on readmission and survival”, Circulation, vol. 105, 2002, pp. 2861-2866.
Stewart et al., “Prolonged beneficial effects of a home-based intervention on unplanned readmissions and mortality among patients with congestive heart failure”, Arch Intern Med., vol. 159, 1999, pp. 257-261.
Stewart et al., “Trends in Hospitalization for Heart Failure in Scotland. An Epidemic that has Reached Its Peak?”, European Heart Journal, vol. 22 (3), 2001, pp. 209-217.
Swedberg et al., “Guidelines for the diagnosis and treatment of chronic heart failure: executive summary: The task force for the diagnosis and treatment of chronic heart failure of the European Society of Cardiology”, Eur Heart J., vol. 26 (11), Jun. 2005, pp. 1115-1140.
Tang, “Case studies in advanced monitoring: OptiVol”, Rev Cardiovasc Med., vol. 7 Suppl 1, 2006, pp. S62-S66.
The Economist, “Something in the way he moves”, retrieved from http://www.economist.com/science/printerFriendly.cfm?storyid=9861412, 2007.
The Escape Investigators, and Escapte Study Coordinators, “Evaluation Study of Congestive Heart Failure and Pulmonary Artery Catheterization Effectiveness”, JAMA, vol. 294, 2005, pp. 1625-1633.
Tosi et al., “Seismic signal detection by fractal dimension analysis”, Bulletin of the Seismological Society of America, vol. 89 (4), Aug. 1999, pp. 970-977.
Van De Water et al., “Monitoring the chest with impedance”, Chest, vol. 64, 1973, pp. 597-603.
Vasan et al., “Congestive heart failure in subjects with normal versus reduced left ventricular ejection fraction”, J Am Coll Cardiol, vol. 33, 1999, pp. 1948-1955.
Verdecchia et al., “Adverse prognostic value of an blunted circadian rhythm of heart rate in essential hypertension”, Journal of Hypertension, vol. 16 (9), 1998, pp. 1335-1343.
Verdecchia et al., “Ambulatory pulse pressure: a potent predictor of total cardiovascular risk in hypertension”, Hypertension, vol. 32, 1998, pp. 983-988.
Vollmann et al., “Clinical utility of intrathoracic impedance monitoring to alert patients with an implanted device of deteriorating chronic heart failure”, European Heart Journal Advance Access, downloaded from http://eurheartj.oxfordjournals.org/cgi/content/full/ehl506v1, Feb. 19, 2007, 6 pages.
Vuksanovic et al., “Effect of posture on heart rate variability spectral measures in children and young adults with heart disease”, International Journal of Cardiology, vol. 101 (2), 2005, pp. 273-278.
Wang et al., “Feasibility of using an implantable system to measure thoracic congestion in an ambulatory chronic heart failure canine model”, PACE, vol. 28 (5), 2005, pp. 404-411.
Wickemeyer et al., “Association between atrial and ventricular tachyarrhythmias, intrathoracic impedance and heart failure decompensation in CRT-D Patients”, Journal of Cardiac Failure, vol. 13 (6), 2007, pp. S131-S132.
Wonisch et al., “Continuous hemodynamic monitoring during exercise in patients with pulmonary hypertension”, Int J Cardiol., vol. 101 (3), Jun. 8, 2005, pp. 415-420.
Wynne et al., “Impedance cardiography: a potential monitor for hemodialysis”, Journal of Surgical Research, vol. 133 (1), 2006, pp. 55-60.
Yancy, “Current approaches to monitoring and management of heart failure”, Rev Cardiovasc Med., vol. 7 Suppl 1, 2006, pp. S25-S32.
Ypenburg et al., “Intrathoracic Impedance Monitoring of Predict Decompensated Heart Failure”, Am J Cardiol, vol. 99 (4), 2007, pp. 554-557.
Yu et al., “Intrathoracic Impedance Monitoring in Patients with Heart Failure: Correlation with Fluid Status and Feasibility of Early Warning Preceding Hospitalization”, Circulation, vol. 112, 2005, pp. 841-848.
Zannad et al., “Incidence, clinical and etiologic features, and outcomes of advanced chronic heart failure: The EPICAL Study”, J Am Coll Cardiol, vol. 33 (3), 1999, pp. 734-742.
Zile, “Heart failure with preserved ejection fraction: is this diastolic heart failure?”, J Am Coll Cardiol., vol. 41 (9), 2003, pp. 1519-1522.
3M Corporation, “3M Surgical Tapes—Choose the Correct Tape”, quicksheet, 2004.
Related Publications (1)
Number Date Country
20140330088 A1 Nov 2014 US
Provisional Applications (5)
Number Date Country
60972537 Sep 2007 US
60972336 Sep 2007 US
60972363 Sep 2007 US
61055666 May 2008 US
61055656 May 2008 US
Continuations (2)
Number Date Country
Parent 13543660 Jul 2012 US
Child 14242537 US
Parent 12209292 Sep 2008 US
Child 13543660 US