This invention relates generally to patient compliance in medication administration protocol scenarios, and more particularly to an apparatus and method for the collection, analysis and transmission of data related to patient movements related to such medication administration in order to improve adherence with prescribed drug protocols in accordance therewith. The invention further relates to a tracking and guidance training system for individuals taking prescribed medication, and may also provide incentives such as reminding a patient of the benefits of a particular medication, providing the patient monetary points or other remuneration on the screen, and one or more reminders to take an appropriate medication.
Dr Lars Osterberg, M. D. and Dr, Terence Blaschke have reported in the New England Journal of Medicine, Adherence to Medication, (N Engl J Med 2005; 353:487-97) 2005 an alarming lack of adherence to required medication protocol, further noting that while the average rates of adherence in clinical trials is categorized as “high”, this number still comprises only rates of 43 to 78 percent. Most importantly, the authors note “The ability of physicians to recognize nonadherence is poor, and interventions to improve adherence have had mixed results.” Adherence, p. 487. The authors conclude “Poor adherence to medication regimens is common, contributing to substantial worsening of disease, death and increased healthcare costs.” Adherence, p. 494. The Trend Repot Series, 2008 Patient Adherence Update: New Approaches for Success, October 2008, report similar discouraging statistics. This broad range may possibly contribute to the public confidence in the FDA approval process and the importance of continued surveillance of a drug throughout the process. Furthermore, it may help to explain why, according to the Journal of the American Medical Association (JAMA May 1, 2002), one out of every five new drugs that comes to market in the US is found to have serious or life-threatening adverse effects—unknown or undisclosed at the time of approval. It is against this backdrop of poor adherence, and potential danger to patients, that the present invention operates.
It has been widely recognized that methods and systems for insuring proper medication ingestion or administration by individuals are very important in defending against unnecessary sickness, deaths and other problems. Giving instructions and then letting patients fend for themselves has been shown not to work particularly well. This is because it is not only the improper ingestion of medicines that is the primary cause of medical danger. Rather, an overall lack of sufficient patient guidance is also part of the problem. Further, the inability to confirm a proper prescription regimen being provided to a user in the first place may cause a number of other problems with the use of such medication. As has been shown in regards to various public health medication administration situation, such as administration of tuberculosis medication by the WHO, Directly Observed Treatment (DOT) improves compliance of patients. Global Tuberculosis Control: A Short Update to the 2009 Report, World Health Organization, 2009. As is shown in this report, funding for implementing DOT programs is high. Thus, the ability to implement such a program with less of a financial burden would be desirable.
Traditionally, participants attend introductions and follow ups for clinical trials in-person. Other patients attempting to adhere to a particular medication protocol similarly are given a prescription and a particular set of instructions from a prescribing medical provider or prescribing doctor, and then compliance is measured at a next visit with that prescribing professional through traditional methods of pill counting, and patient interviews. Thus, data collection is similarly limited to patient visits, rather than on a daily basis. These old methods such as patient questioning and pill counting have been proven to be inadequate measures of adherence and offer no information on dose timing and drug holidays (omission of medication for three or more sequential days).
Compliance technologies can increase the statistical power of clinical trials. Through the use of such technology, clinical events can be precisely linked to medication use history. Captured data can be linked to other sources such as EDC, patient diaries and data collected by the physician. Technologies can create many possibilities for remote visits and data capture. While smart packaging technologies exist such as RFID-enabled computer chip technology, smart blister packs and MEMS caps (microprocessor in a bottle cap), they are: a) invasive and need to be physically attached to the medications; b) are non-conclusive regarding compliance—a patient may activate the technology without ingestion of the medication; c) remain largely unadopted in clinical trials by the pharmaceutical and biotech companies due to their high cost; and d) take a longer time to implement. Further, electronic patient diaries allow for ease of entry of data by a patient. These diaries, however, are still subject to issues related to compliance with medication adherence. Thus, even if a patient is meticulous about entering information into the diary, and thus complying with the requirements for data entry, there is still no guarantee that they are properly taking medication at prescribed times.
Jo Carol et al. stated that “The most reliable method for research purposes, although not practical in a clinical setting, may be a combination approach that includes pill counts, patient self-report, and electronic monitoring.” (Carol J. et al, Patterns to Antiretroviral Medication, The Value of Electronic Monitoring, AIDS, 17 (12), pp 1, 763-767, October 2003. To date, technologies alone have only been used to monitor compliance rather than to encourage it. Furthermore, there has been no comprehensive system provided that allows for the management of multiple patients and multiple patient populations. While current technology may allow poor compliers to be recognized, as will be described below, the proposed apparatus and method of the present invention will help to encourage pharmaceutical compliance and tackle some of the problems that are encountered in the clinical trial process in particular, and the medication protocol monitoring problem in general.
A number of systems exist that provide instructions to a user regarding when to take a medication and records when the user indicates that a medication has been taken. U.S. Pat. No. 7,359,214 describes such a system. A device is provided that provides instruction to a patient regarding medications to take. Furthermore, the system may provide a method for determining that the prescription is appropriate given the patient's conditions, and other medications he or she may already be taking. The system may monitor the dispensing of medicine in accordance with a predetermined treatment protocol. While such a system provides many improvements for easing a burden on the patient, this system suffers in many ways and in particular in ways relevant to the administration of clinical trials and other active patient monitoring of medication adherence.
Most importantly, this system provides no mechanism for actually confirming that a patient is in fact ingesting or otherwise properly administering required medication as required in a clinical drug trial, as prescribed by a prescribing physician in the case where adherence to a particular regimen may prove to be critical to efficacy of the prescription regimen, in various public health scenarios, in situations where failure to keep up a prescription regimen can potentially harm a population as a whole, such as the generation of antibiotic-resistant bacteria strains, in various disease management scenarios, or in home care situations where maintaining proper control of administering healthcare professionals is critical. Further, while the system may be sufficient for one who is in full possession of their mental faculties, any individual who may have difficulty following directions, or one who is actively avoiding medication may still not be taking required medication after it is dispensed. Thus, participants may be forgetful, visually impaired, or otherwise do not believe in the benefit of taking such medication, and may thus not properly log medication administration. Furthermore, the system requires preloading of various medications into a dispenser, and thus likely requires regular visits by an administering manager to be sure appropriate medications are in fact properly loaded therein. It is surely possible that an inexperienced user may place incorrect medications into the device, or may somehow provide incorrect dosages into the device. Additionally, for potentially more complex regimens, there is no method provided for insuring that a user is able to follow such a protocol, and to thereafter confirm that the user has in fact taken all required medications in accordance with any provided instructions or the like, or has taken the medications according to one or more specifications or followed suggested procedures. Finally, this system is expensive and requires constant maintenance to confirm that the various mechanical parts are in working order.
U.S. patent application Ser. No. 11/839,723, filed Aug. 16, 2007, titled Mobile Wireless Medication Management System provides a medication management system employing mobile devices and an imaging technology so that a user is able to show a pill to be taken to the system, and the system can then identify the medication. Patient histories are available to an administrator, including various vital signs as measured by the system. Images may also be taken of the patient, provider, medication container or the like. While the system professes to ensure adherence to a protocol, the system only provides such help if requested by a user. There is in fact no particular manner in which to ensure actual adherence or ingestion of the medication, or the relationship of adherence to the efficacy or safety of the drug over time. When requiring adherence to a predetermined protocol for a clinical trial, this is particularly relevant.
Additionally, existing systems fail to maintain an audit trail for post administration review by a medical official or other clinical trial administrator, and further cannot therefore confirm confirmation of proper medication administration or population management.
Therefore, it would be desirable to provide an apparatus that overcomes the drawbacks of the prior art.
In U.S. patent application Ser. No. 12/620,686, filed Nov. 18, 2009, titled Method and Apparatus for Verification of Medication Administration Adherence; currently pending, U.S. patent application Ser. No. 12/646,383, filed Dec. 23, 2009, titled Method and Apparatus for Verification of Clinical Trial Adherence, currently pending; U.S. patent application Ser. No. 12/646,603, filed Dec. 23, 2009, titled Method and Apparatus for Management of Clinical Trials, currently pending; and U.S. patent application Ser. No. 12/728,721, filed Mar. 22, 2010, titled Apparatus and Method for Collection of Protocol Adherence Data, currently pending, the contents of these four applications being incorporated herein by reference, the inventors of the present invention have proposed a system, method and apparatus that allow for complete control and verification of adherence to a prescribed medication protocol or machine or apparatus use in a clinical trial setting, whether in a health care provider's care, or when self administered in a homecare situation by a patient.
These applications present the only medication management system that may determine whether a user is actually following a protocol, provide additional assistance to a user, starting with instructions, video instructions, and the like, and moving up to contact from a medication administrator if it is determined that the user would need such assistance in any medical adherence situation, including clinical trial settings, home care settings, healthcare administration locations, such as nursing homes, clinics, hospitals and the like, and in clinical trial settings.
In accordance with an embodiment of the present invention, a motion capture procedure is proposed to be utilized in accordance with one or more of the inventions noted in the above-referenced applications. Therefore, in accordance with an embodiment of the present invention, a method and apparatus may be provided for analyzing captured patient motion data, transmitting such captured patient motion data to a remote location (or processing such captured information locally, in whole or in part), receiving information from a remote location (or from a processor maintained locally) and providing information to the patient as preferred in accordance with the present invention.
Further in accordance with an embodiment of the present invention, one or more predetermined motion sequences may be determined and correlated to one or more corresponding medication administration instructions. These predetermined motion sequences may be provided as a number of generic motion sequences, as one or more customized motion sequences, or a combination of both. The group of predetermined motion sequences may comprise a motion language that may be applied to one or more different medication administration sequences, healthcare related processes, such as hand washing or the like, medication administration personnel acting as prescribed or the like, thus allowing for an easy to program generic medication administration sequence, but also allow for customization where appropriate and necessary. These programmed motion sequences may then be applied in accordance with the inventions noted in the applications above.
In yet another embodiment of the invention, one or more methods may be provided for confirming that a user is properly performing one or more of these predetermined motion sequences. Thus, as a user positions themselves or an object before an image capture device, a display may indicate to the user whether the position, distance, and/or skew and angle are correct. If not, the user is preferably provided with indications as to how to correct any one or more of these issues.
Still other objects and advantages of the invention will in part be obvious and will in part be apparent from the specification and drawings.
The invention accordingly comprises the several steps and the relation of one or more of such steps with respect to each of the others, and the apparatus embodying features of construction, combinations of elements and arrangement of parts that are adapted to affect such steps, all as exemplified in the following detailed disclosure, and the scope of the invention will be indicated in the claims.
For a more complete understanding of the invention, reference is made to the following description and accompanying drawings, in which:
The invention will now be described making reference to the following drawings in which like reference numbers denote like structure or steps. Referring to
Once confirmed, a medication administration regimen in accordance with the clinical trial or other prescription requirements may be prescribed and entered into the system of the invention at 120. Once entered into the system, a particular prescription regimen may cause a set of user instructions 125 to be generated and transmitted to an apparatus provided to a patient in accordance with an embodiment of the invention for access to the system of the invention. Such an apparatus may comprise a custom designed video capture, analysis and transmission apparatus, a smart phone or other mobile device including a camera or other video capture apparatus, a netbook, laptop computer, desktop computer, tablet device or the like, or other computing appliance allowing for the display of instructions to a patient, and allowing for the eventual capture, analysis and transmission of video and other analysis information. When installing software on a user's own hardware system, it is preferred that the software detect and otherwise test or determine that the hardware attempting to be utilized by the patient is sufficient to implement the invention and is sufficient to run a software package provided in accordance with the invention. Thus, the software may check that a camera includes sufficient resolution, that a memory of the device is of sufficient size to allow for sufficient captured video storage, and that the transmission system includes sufficient bandwidth to transmit and receive captured video, video instructions and the like.
In a clinical trial setting, patient instructions may be varied for different users to determine the best set of instructions, or may be varied based upon demographics, experience, or other factors that may require different types of instructions to be provided. It is further contemplated in accordance with an embodiment of the invention that multiple clinical trials or patient populations may be managed by a manager in accordance with the invention so that the invention contemplates a medication administration system that allows for a single point of management for all clinical trials or patient management groups associated with a particular manager or the like. Such management techniques in accordance with the embodiment of the invention may further be applied to various public health situations, disease management scenarios and the like.
Such user instructions may include general instructions about the particular medication subject to the current trial or medication administration protocol, methods for ingestion, warnings about side effects, and concerns about drug interactions with common substances or medications, or other medications prescribed to the patient by the system or by another medical service provider. It is contemplated in accordance with an embodiment of the invention that such set of user instructions may be interactive, allowing a user to view additional information about such instructions or prescriptions as desired. These instructions may comprise written, audio or video instructions provided to the user on a display of the user apparatus. It is further contemplated that such instructions may indicate one or more movement sequences to be associated with a corresponding one or more medication administration sequences. A more in-depth description of the information provided at step 125 is depicted in
As is shown in
If it is determined, however, at step 225 that a custom video capture is required, then processing passes to step 235 where the user may be prompted, by being shown one or more stock video instruction sequences or other appropriate instruction indication, to perform a particular action or sequence of movements. The user may request to be re-shown these sequences as many times as necessary, and may also include audio or other instructions, so that the user is provided with a training sequence, thereby reducing variability of future performance of that action. When preparing to perform these actions, an alert system may be employed to warn the patient of any issues that may interfere with the proper capture of video information.
Thus, the user may be notified if they are sitting in a manner in which their actions cannot be properly captured, if they are blocked from the camera, the light conditions are insufficient, if an object they are holding is in an improper location, or the like. As is shown in
In addition to properly positioning the patient, proper positioning of one or more objects may be determined, such as positioning a pill bottle or pill tablet for imaging and processing in accordance with an embodiment of the invention. As is shown in
To the extent that any hand positioning is important, such as a user being requested to display an open palm after taking medication, a similar system may be employed. As is shown in
Furthermore, as is shown in
Therefore, in accordance with one or more of the positioning assistance schemes noted in
Referring back to
Referring back to the lower portion of
In accordance with the invention, confirmation of patient adherence to the prescribed administration schedule for the medication as prescribed by the clinical trial or other prescription regimen may be determined. While such confirmation may take a number of forms, in accordance with the invention, a preferred method for such confirmation may include capturing a video sequence of the patient actually administering the medication. In a further preferred method, such a sequence for such confirmation may include employing a facial recognition sequence or other biometric confirmation that a particular patient is in fact receiving treatment, but may also provide for the ability to obscure the face or other identifying feature of a user, or otherwise encrypt such information to allow for the storage and use of such images while protecting the identity of the patient, a technique that may be beneficial when a medication administration manager is providing a general report about a clinical trial, and not trying to remedy a situation with a particular patient, or in particular in a public health or disease management scenario. Activity recognition, gesture recognition or other feature for determining whether a particular subject movement meets a predefined movement sequence may be employed to be sure that the patient is properly taking prescribed medication.
Referring next to
Video capture analysis may then begin at step 330, such analysis comprising comparison of the newly captured video with either stock video sequences or custom recorded video sequences, as provided as noted above with respect to
If it is determined that administration of the medication did not take place properly, processing may return to step 325 and the user may be once again prompted to perform the action. Of course, if this process involves actual ingestion of medication, it may not be proper to request re-performance of the action, unless it can be determined that the user did not ingest the medication previously. If the action has been properly captured, and is able to be analyzed, processing passes to step 345 where it may be determined whether additional captures are required. If so, processing returns to step 320. If no further captures are required, processing ends at step 350 where the various captured video sequences are stored. These stored sequences may also be made available for human review and involvement, when it is determined that this would be beneficial.
Therefore, in accordance with various embodiments of the invention, because a video image of the patient actually administering or ingesting the medication (or other method of medication administration, including but not limited to injections, dialysis, and any other medication administration procedure) may be captured and analyzed, actual confirmation may be achieved, rather than simply relying on the patient to state that a particular medication was administered. Such a video image may be captured or stored in any appropriate format given a selected type of activity or gesture recognition that is employed in accordance with a particular embodiment of the invention. Such may include full video, biometric data points, recording of movement of an article, such as a bracelet or the like, affixed to the patient or administrator, use of mapping to provide a stick figure or other body movement tracking technique, or gesture or activity recognition to determine movement or the like. The user may be encouraged to use a particular sequence of movement to be confirmed that they are properly administering the medication according to the protocol, thus reducing the possibility of the potential appropriate movements considered to be “correct.” Or, as noted above, capture of customized video sequences may be performed so that the user is more likely to repeat these same actions. Indeed, various instructional videos or other appropriate training may be provided to a user to insure they properly administer the medication.
Through the use of a combination of stock and custom video sequences for comparison and analysis to a newly captured patient movement sequence, a type of administration language may be generated, allowing for extension to other patients, and also allowing for interpretation of reason for differences from a predefined sequence by a patient. Thus, if a patient performs an action differently over time, this difference may provide insight to a reaction to a medication, changes in the patient's medical condition, or the like. It is further anticipated that analysis of large numbers of patients will allow for a more flexible system that may recognize more of a patient's movements as compared to a stock video sequence, and thus may improve the ability of the system to function without needing to take up front custom video captures for each and every administration step.
Therefore, in accordance with an embodiment of the invention, a user may perform a predetermined sequence of actions designed to ensure performance of medication administration. Thus, by way of example only, for an ingested medication as noted above, the user may be asked to first show a medication in their palm, between their fingers, or in other display methods, may then be prompted to ingest the medication as indicated by movement of the user's hand to their mouth. Next the user may be prompted to display an empty hand to the capture device, asked to show their mouth to confirm it is empty, and finally asked to drink a bit of water and to have the water level monitored to aid in confirming that the patient in fact has taken their medication. Of course, in accordance with this embodiment of the invention, other action sequences may be employed, and may be mixed with other actions to be performed by a patient or caregiver. Thus, but defining a medication adherence protocol as a single or sequence of gestures that may be recognized by a processing system, the accuracy of confirming that a patient has actually taken a particular medication is improved. Through an interactive learning process, the processing system may also learn patient behaviors to be more accurately determine medication adherence, and to remove some of the potential false positives or false negatives. If a caregiver is involved, it is contemplated that the caregiver be provided with a number of gestures indicative of particular actions to be taken, and use of these gestures prompting the system to confirm that these actions are in fact being taken. Thus, a full audit trail of not only the patient, but also the caregiver may be determine, such as whether they approached the patient at the correct times, or that they washed their hands when approaching.
Further uses of the video capture sequences may also be employed, including video capture of responses to questionnaires about current patient states of discomfort, informed consent, example of questions to be asked, video transmission of such questions and the like. The patient may be able to send a video message, pointing to a particular pain or the like, and may include an audio portion as well. Time stamp markers may also be captured to confirm that the user is taking their medication at appropriate times and a number of times a user has taken a particular medication, to confirm whether there are substantial delays between instruction and administration, or for any other time sequence determination. Furthermore, other behavioral markers, such as, by way of example only, shaking hands indicating a particular ailment, or other movements by a patient that may give a hint as to the physical or mental status thereof. Additionally, if the user is taking medication that is improper, or they have already taken, a warning may be provided to warn the user to stop medication administration immediately.
It is further contemplated that the method and apparatus of the invention allow for integration with one or more audio or video conferencing systems, thus receiving and/or providing information there through. Thus, a user may employ a standard video conferencing tool or system, and have this information be coupled to a mobile or other device being used in accordance with an embodiment of the present invention.
Therefore, in accordance with the invention, a method and apparatus are provided that allow for the automated confirmation of adherence to administration protocol for medication, and provide for a most sophisticated method for confirming and studying methods of administration of such prescription medication.
It will thus be seen that the objects set forth above, among those made apparent from the preceding description, are efficiently attained and, because certain changes may be made in carrying out the above method and in the construction(s) set forth without departing from the spirit and scope of the invention, it is intended that all matter contained in the above description and shown in the accompanying drawings shall be interpreted as illustrative and not in a limiting sense.
It is also to be understood that this description is intended to cover all of the generic and specific features of the invention herein described and all statements of the scope of the invention which, as a matter of language, might be said to fall there between.
This application claims the benefit of U.S. Provisional Patent Application Ser. No. 61/331,872 filed May 6, 2010, titled APPARATUS AND METHOD FOR RECOGNITION OF PATIENT ACTIVITIES WHEN OBTAINING PROTOCOL ADHERENCE DATA, the entire contents thereof being incorporated herein by reference.
Number | Name | Date | Kind |
---|---|---|---|
3814845 | Hurlbrink et al. | Jun 1974 | A |
5065447 | Barnsley et al. | Nov 1991 | A |
5441047 | David et al. | Aug 1995 | A |
5486001 | Baker | Jan 1996 | A |
5544649 | David et al. | Aug 1996 | A |
5619991 | Sloane | Apr 1997 | A |
5646912 | Cousin | Jul 1997 | A |
5752621 | Passamante | May 1998 | A |
5764296 | Shin | Jun 1998 | A |
5810747 | Brudny et al. | Sep 1998 | A |
5911132 | Sloane | Jun 1999 | A |
5961446 | Beller et al. | Oct 1999 | A |
6126449 | Burns | Oct 2000 | A |
6151521 | Guo et al. | Nov 2000 | A |
6233428 | Fryer | May 2001 | B1 |
6283761 | Joao | Sep 2001 | B1 |
6380858 | Yarin et al. | Apr 2002 | B1 |
6409661 | Murphy | Jun 2002 | B1 |
6421650 | Goetz et al. | Jul 2002 | B1 |
6461162 | Reitman et al. | Oct 2002 | B1 |
6483993 | Misumi et al. | Nov 2002 | B1 |
6484144 | Martin et al. | Nov 2002 | B2 |
6535637 | Wootton et al. | Mar 2003 | B1 |
6611206 | Eshelman et al. | Aug 2003 | B2 |
6705991 | Bardy | Mar 2004 | B2 |
6879970 | Shiffman et al. | Apr 2005 | B2 |
6988075 | Hacker | Jan 2006 | B1 |
7184047 | Crampton | Feb 2007 | B1 |
7184075 | Reiffel | Feb 2007 | B2 |
7256708 | Rosenfeld et al. | Aug 2007 | B2 |
7277752 | Matos | Oct 2007 | B2 |
7304228 | Bryden et al. | Dec 2007 | B2 |
7307543 | Rosenfeld et al. | Dec 2007 | B2 |
7317967 | DiGianfilippo et al. | Jan 2008 | B2 |
7340077 | Gokturk | Mar 2008 | B2 |
7369919 | Vonk et al. | May 2008 | B2 |
7395214 | Shillingburg | Jul 2008 | B2 |
7415447 | Shiffman et al. | Aug 2008 | B2 |
7448544 | Louie et al. | Nov 2008 | B1 |
7562121 | Berisford et al. | Jul 2009 | B2 |
7627142 | Kurzweil et al. | Dec 2009 | B2 |
7657443 | Crass et al. | Feb 2010 | B2 |
7692625 | Morrison et al. | Apr 2010 | B2 |
7740013 | Ishizaki et al. | Jun 2010 | B2 |
7747454 | Bartfield et al. | Jun 2010 | B2 |
7761311 | Clements et al. | Jul 2010 | B2 |
7769465 | Matos | Aug 2010 | B2 |
7774075 | Lin et al. | Aug 2010 | B2 |
7874984 | Elsayed et al. | Jan 2011 | B2 |
7881537 | Ma et al. | Feb 2011 | B2 |
7908155 | Fuerst et al. | Mar 2011 | B2 |
7912733 | Clements et al. | Mar 2011 | B2 |
7956727 | Loncar | Jun 2011 | B2 |
7983933 | Karkanias et al. | Jul 2011 | B2 |
8321284 | Clements et al. | Nov 2012 | B2 |
20010049673 | Dulong et al. | Dec 2001 | A1 |
20010056358 | Dulong et al. | Dec 2001 | A1 |
20020026330 | Klein | Feb 2002 | A1 |
20020093429 | Matsushita et al. | Jul 2002 | A1 |
20020143563 | Hufford et al. | Oct 2002 | A1 |
20030164172 | Chumas et al. | Sep 2003 | A1 |
20030190076 | Delean | Oct 2003 | A1 |
20030225325 | Kagermeier et al. | Dec 2003 | A1 |
20040100572 | Kim | May 2004 | A1 |
20040107116 | Brown | Jun 2004 | A1 |
20040155780 | Rapchak | Aug 2004 | A1 |
20050144150 | Ramamurthy et al. | Jun 2005 | A1 |
20050149361 | Saus et al. | Jul 2005 | A1 |
20050180610 | Kato et al. | Aug 2005 | A1 |
20050182664 | Abraham-Fuchs et al. | Aug 2005 | A1 |
20050234381 | Niemetz et al. | Oct 2005 | A1 |
20050267356 | Ramasubramanian et al. | Dec 2005 | A1 |
20060066584 | Barkan | Mar 2006 | A1 |
20060218011 | Walker et al. | Sep 2006 | A1 |
20060238549 | Marks | Oct 2006 | A1 |
20070008112 | Covannon et al. | Jan 2007 | A1 |
20070008113 | Spoonhower et al. | Jan 2007 | A1 |
20070016443 | Wachman et al. | Jan 2007 | A1 |
20070030363 | Cheatle et al. | Feb 2007 | A1 |
20070118054 | Pinhas et al. | May 2007 | A1 |
20070118389 | Shipon | May 2007 | A1 |
20070194034 | Vasiadis | Aug 2007 | A1 |
20070233035 | Wehba et al. | Oct 2007 | A1 |
20070233049 | Wehba et al. | Oct 2007 | A1 |
20070233050 | Wehba et al. | Oct 2007 | A1 |
20070233281 | Wehba et al. | Oct 2007 | A1 |
20070233520 | Wehba et al. | Oct 2007 | A1 |
20070233521 | Wehba et al. | Oct 2007 | A1 |
20070273504 | Tran | Nov 2007 | A1 |
20070276270 | Tran | Nov 2007 | A1 |
20080000979 | Poisner | Jan 2008 | A1 |
20080086533 | Neuhauser et al. | Apr 2008 | A1 |
20080093447 | Johnson et al. | Apr 2008 | A1 |
20080114226 | Music et al. | May 2008 | A1 |
20080114490 | Jean-Pierre | May 2008 | A1 |
20080138604 | Kenney et al. | Jun 2008 | A1 |
20080140444 | Karkanias et al. | Jun 2008 | A1 |
20080162192 | Vonk et al. | Jul 2008 | A1 |
20080178126 | Beeck et al. | Jul 2008 | A1 |
20080201174 | Ramasubramanian et al. | Aug 2008 | A1 |
20080219493 | Tadmor | Sep 2008 | A1 |
20080275738 | Shillingburg | Nov 2008 | A1 |
20080281630 | Sekura | Nov 2008 | A1 |
20080290168 | Sullivan et al. | Nov 2008 | A1 |
20080297589 | Kurtz et al. | Dec 2008 | A1 |
20080303638 | Nguyen et al. | Dec 2008 | A1 |
20090012818 | Rodgers | Jan 2009 | A1 |
20090018867 | Reiner | Jan 2009 | A1 |
20090024112 | Edwards et al. | Jan 2009 | A1 |
20090043610 | Nadas et al. | Feb 2009 | A1 |
20090048871 | Skomra | Feb 2009 | A1 |
20090095837 | Lindgren | Apr 2009 | A1 |
20090128330 | Monroe | May 2009 | A1 |
20090159714 | Coyne, III et al. | Jun 2009 | A1 |
20090217194 | Martin et al. | Aug 2009 | A1 |
20090245655 | Matsuzaka | Oct 2009 | A1 |
20100042430 | Bartfeld | Feb 2010 | A1 |
20100050134 | Clarkson | Feb 2010 | A1 |
20100057646 | Martin et al. | Mar 2010 | A1 |
20100092093 | Akatsuka et al. | Apr 2010 | A1 |
20100136509 | Mejer et al. | Jun 2010 | A1 |
20100138154 | Kon | Jun 2010 | A1 |
20100255598 | Melker | Oct 2010 | A1 |
20100262436 | Chen et al. | Oct 2010 | A1 |
20100316979 | Von Bismarck | Dec 2010 | A1 |
20110021952 | Vallone | Jan 2011 | A1 |
20110119073 | Hanina et al. | May 2011 | A1 |
20110153360 | Hanina et al. | Jun 2011 | A1 |
20110161109 | Pinsonneault et al. | Jun 2011 | A1 |
20110195520 | Leider et al. | Aug 2011 | A1 |
20110275051 | Hanina et al. | Nov 2011 | A1 |
20120075464 | Derenne et al. | Mar 2012 | A1 |
Entry |
---|
“Super-Resolution”, Wikipedia, (Oct. 5, 2010). |
“PCT Search report and written opinion”, (Jan. 12, 2011),1-9. |
“Non-Final Office Action from PTO”, (Oct. 13, 2011),1-74. |
Danya International, Inc., Pilot Study Using Cell Phones for Mobile Direct Observation Treatment to Monitor Medication Compliance of TB Patients, Mar. 20, 2009, www.danya.com/MDOT.asp. |
University of Texas, Guide View, Mar. 15, 2007, http://www.sahs.uth.tmc.edu/MSriram/GuideView/. |
Chen, Pauline W., Texting as a Health Tool for Teenagers, The New York Times, Nov. 5, 2009, http://www.nytimes.com/2009/11/05/health/05chen.html?—r=1&emc=. |
Whitecup, Morris S., 2008 Patient Adherence Update: New Approaches for Success, Guideline Trend Report, Oct. 2008. |
Osterberg, Lars and Blaschke, Terrence, Adherence to Medication, New England Journal of Medicine 2005; 353:487-97, Aug. 4, 2005. |
World Health Organization, Global Tuberculosis Control: A Short Update to the 2009 Report, 2009. |
Non-Final Office Action from PTO, (U.S. Appl. No. 12/898,338), (Jun. 19, 2012), 1-16. |
PCT Search report and written opinion, (PCT/US12/41785, (Aug. 17, 2012),1-10. |
Non-final Office Action from PTO—(U.S. Appl. No. 12/620,686) (Dec. 21, 2011), 1-78. |
Non-final Office Action from PTO—(U.S. Appl. No. 12/646,383) (Dec. 22, 2011), 1-78. |
Final Office Action from PTO—(U.S. Appl. No. 12/646,603) (Feb. 1, 2012), 1-17. |
Non-final Office Action from PTO—(U.S. Appl. No. 12/728,721) (Jan. 6, 2012), 1-19. |
Final Office Action from PTO—(U.S. Appl. No. 12/620,686) (May 8, 2012), 1-23. |
Final Office Action from PTO—(U.S. Appl. No. 12/646,383) (May 8, 2012), 1-22. |
International Preliminary Report on Patentability, (PCT/US2010/056935) (May 31, 2012), 1-8. |
Final Office Action from PTO—(U.S. Appl. No. 12/728,721) (Apr. 12, 2012), 1-28. |
International Search Report, (PCT/US11/35093) (Dec. 9, 2011), 1-8. |
Non-Final Office Action from PTO, (U.S. Appl. No. 13/558,377), (Oct. 22, 2012), 1-21. |
Non-Final Office Action from PTO, (U.S. Appl. No. 13/558,380), (Oct. 4, 2012), 1-20. |
Non-Final Office Action from PTO (U.S. Appl. No. 12/899,510), (Jan. 23, 2013), 1-20. |
PCT Search report and written opinion, (PCT/US11/54666), (Feb. 28, 2012), 1-13. |
Final Office Action from PTO (U.S. Appl. No. 12/898,338), (Nov. 9, 2012), 1-12. |
PCT Search report and written opinion, (PCT/US11/54668), Feb. 28, 2012, 1-12. |
Non-Final Office Action from PTO, (U.S. Appl. No. 13/189,518), (Dec. 21, 2012), 1-10. |
PCT Search report and written opinion, (PCT/US2012/051554), (Oct. 19, 2012), 1-12. |
Huynh et al., Real time detection, tracking and recognition of medication intake. World Academy of Science, Engineering and Technology 60 (2009), 280-287. |
PCT Search report and written opinion, (PCT/US12/59139), (Dec. 18, 2012), 1-15. |
Final Office Action from PTO, (U.S. Appl. No. 13/558,377), May 7, 2013, 1-29. |
Final Office Action from PTO, (U.S. Appl. No. 13/588,380), (Mar. 1, 2013), 1-27. |
Non-Final Office Action from PTO, (U.S. Appl. No. 12/646,603), (Jun. 13, 2013), 1-16. |
Non-Final Office Action from PTO, (U.S. Appl. No. 12/728,721), (May 9, 2013), 1-25. |
Final Office Action from PTO, (U.S. Appl. No. 12/899,510), (Aug. 28, 2013). |
Final Office Action from PTO, (U.S. Appl. No. 13/189,518), (Jul. 23, 2013), 1-16. |
Non-Final Office Action from PTO, (U.S. Appl. No. 13/235,387), (Sep. 12, 2013), 1-16. |
PCT Search report and written opinion, (PCT/US12/42843), (Aug. 31, 2012), 1-8. |
PCT Search report and written Opinion, (PCT/US13/20026), (Aug. 5, 2013), 1-14. |
Ammouri, S.; Biloduau, G. -A, “Face and Hands Detectionand Tracking Applied to the Monitoring of Medication Intake,” Computer and Robot Vision, 2008. CRV '08. Canadian Conference on, vol. no., pp. 147, 154, May 28-30, 2008. |
Batz, et al. “A computer Vision System for Monitoring Medicaiton Intake,” in Proc. IEEE 2nd Canadian Conf. on Computer and Robot Vision, Victoria, BC, Canada, 2005, pp. 362-369. |
Valin, et al. “Video Surveillance of Medication intake”, Int. Conf. of the IEEE Engineering in Medicine and Biology Society, New York City, USA, Aug. 2006. |
Bilodeau et al. Monitoring of Medication Intake Using a Camera System. Journal of Medical Systems 2011. [retrieved on Feb. 18, 2013] Retrieved from ProQuest Technology Collection. |
Mintchell, “Exploring the Limits of Machine Vision”, Automating World, Oct. 1, 2011. |
U.S. Appl. No. 13/235,387, filed Sep. 18, 2011, Hanina et al. |
U.S. Appl. No. 13/674,459, filed Nov. 12, 2012, Hanina et al. |
Number | Date | Country | |
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20110275051 A1 | Nov 2011 | US |
Number | Date | Country | |
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61331872 | May 2010 | US |