DETERMINING TREATMENT COMPLIANCE USING PASSIVELY CAPTURED ACTIVITY PERFORMANCE PATTERNS

• US 20160140317A1
• Filed: 11/12/2015
• Published: 05/19/2016
• Est. Priority Date: 11/17/2014
• Status: Abandoned Application

• Current Assignee: The Invention Science Fund II, L.L.C. (Intellectual Ventures LLC)
• Original Assignee: Elwha LLC (Intellectual Ventures LLC)
• Inventors: Bowers, Jeffrey A., Duesterhoft, Paul, Hawkins, Daniel, Hyde, Roderick A., Jung, Edward K.Y., Kare, Jordin T., Leuthardt, Eric C., Myhrvold, Nathan P., Smith, Michael A., Sweeney, Elizabeth A., Tegreene, Clarence T., Wood, Lowell L. Jr.
• Application Number:
  US14/938,973
• Publication Number:
  US 20160140317A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G16H 20/70 relating to mental therapies, e.g. psychological therapy or autogenous training

Abstract

Methods and systems are described for unobtrusively monitoring patient activity to determine compliance of the patient with a prescribed regimen for treating a brain-related disorder. Patient activity associated with routine activities is detected with an activity sensor at the patient location, and activity data is transmitted to a monitoring location. The activity sensor and other components at the patient location may be incorporated into, or associated with, a cell phone, computing system, game system, appliance, or vehicle system, for example. Patient activity is processed at the patient location and/or monitoring location to identify activity parameters and/or patterns that indicate whether the patient has complied with the prescribed treatment regimen. Patient identity may be determined through biometric identification or other authentication techniques. The system may provide a report to an interested party, for example a medical care provider or insurance company, regarding compliance of the patient with the prescribed treatment regimen.

Claims

1. An unobtrusive activity-detection system comprising:

at least one activity sensor for sensing at least one activity signal including a non-speech activity pattern corresponding to performance of a non-speech activity by a patient at a patient location, the patient having a brain-related disorder and a prescribed treatment regimen for treating at least one aspect of the brain-related disorder;

activity detection circuitry configured to identify at least one section of the at least one activity signal containing the non-speech activity pattern;

activity analysis circuitry for processing the at least one section of the at least one activity signal to generate activity data including data indicative of whether the patient has complied with the treatment regimen; and

at least one transmitting device for transmitting an activity data signal including the activity data including data indicative of whether the patient has complied with the treatment regimen from the patient location to a receiving device at a monitoring location.

30. The system of claim 1, including patient identification circuitry configured to determine a presence of the patient from at least one identity signal sensed at the patient location.

83. The system of claim 1, including notification circuitry for generating a notification indicative of whether the patient has complied with the treatment regimen.

212. The system of claim 1, including timing circuitry configured to control timing of operation of at least a portion of the system to perform substantially continuously, intermittently, or according to a schedule at least one of sensing the at least one activity signal with the at least one activity sensor, identifying with the activity detection circuitry the at least one section of the at least one activity signal containing the non-speech activity pattern, processing with the activity analysis circuitry the at least one section of the at least one activity signal to generate activity data including data indicative of whether the patient has complied with the treatment regimen, and transmitting with the at least one transmitting device an activity data signal including the activity data including data indicative of whether the patient has complied with the treatment regimen from the patient location to the receiving device at the monitoring location.

213. The system of claim 1, wherein the at least one activity sensor includes at least one of keyboard, an input device, a pointing device, a touchscreen, a remote controller for an entertainment device or system, a game controller, a user-activated sensor in a vehicle system, a wearable sensor, an environmental sensor, an imaging device, a pressure sensor, a force sensor, a capacitive sensor, an optical sensor, a motion sensor, a motion capture device, and an acceleration sensor.

214. The system of claim 1, including at least one of at least one physiological sensor operatively connected to the unobtrusive activity-detection system and configured to detect a physiological signal indicative of whether the patient has complied with the treatment regimen and at least one brain activity sensor for sensing an event-related potential from a brain of the patient.

215. The system of claim 214, wherein the at least one physiological sensor includes at least of an EEG sensor, an EEG sensor configured to detect an event-related potential, a heart rate sensor, an eye position sensor, and a pupil diameter sensor.

216. The system of claim 30, including at least one of an audio signal sensor for sensing an audio signal including speech from the patient at the patient location, wherein the patient identification circuitry includes speech analysis circuitry for identifying at least a portion of the audio signal that resembles known speech of the patient;

an imaging device for sensing an image at the patient location, wherein the patient identification circuitry includes image analysis circuitry for identifying a presence of the patient in the image; and

a biometric sensor for sensing a biometric signal from the patient, wherein the patient identification circuitry includes biometric signal analysis circuitry for analyzing the biometric signal to determine the presence of the patient.

217. The system of claim 30, including an imaging device for sensing an image at the patient location, wherein the patient identification circuitry includes image analysis circuitry configured to analyze the image to determine the presence of the patient in the image through at least one of facial recognition, gait recognition, or posture recognition.

218. The system of claim 30, including at least one of a user interface device for receiving an input indicative of at least one authentication factor from the user, wherein the patient identification circuitry includes authentication circuitry for determining the presence of the patient based on the at least one authentication factor;

a data input for receiving a data signal, wherein the identity signal is a data signal, and wherein the patient identification circuitry is configured to determine the presence of the patient based on the data signal;

a receiver for receiving a cell phone identification code, wherein the identity signal is a cell phone identification code, and wherein the patient identification circuitry is configured to determine the presence of the patient based on the cell phone identification code; and

an RFID sensor, wherein the identity signal is an RFID signal, and wherein the patient identification circuitry is configured to determine the presence of the patient based on the RFID signal.

219. The system of claim 1, wherein the at least one activity sensor, the activity detection circuitry, the activity analysis circuitry, and the at least one transmitting device are components of at least one of a cell phone configured with application software, a computing device or system, an appliance, an entertainment device or system, a game device or system, a vehicle system, a kiosk, and an intercommunication system.

220. The system of claim 1, wherein the activity detection circuitry is configured to identify at least one section of the at least one activity signal containing an activity pattern corresponding to at least one of performance of an activity of daily life and performance of a motor activity.

221. The system of claim 1, wherein the activity detection circuitry is configured to identify at least one section of the at least one activity signal containing an activity pattern corresponding to performance of a motor activity, wherein the motor activity includes at least one of typing, providing an input via an input device, providing an input via a touchscreen, providing an input via a pointing device, controlling an entertainment device or system, controlling a game device or system, controlling a vehicle system, and walking.

222. The system of claim 1, wherein the activity analysis circuitry includes at least one of circuitry configured to process the at least one section of the at least one activity signal to determine at least one activity pattern of the patient and to generate activity data that includes the at least one activity pattern of the patient;

an activity analyzer for assessing the at least one activity pattern to determine at least one activity parameter indicative of whether the patient has complied with the treatment regimen and circuitry configured to generate activity data that includes the at least one activity parameter; and

a comparator for comparing the at least one activity pattern with at least one characteristic activity pattern to determine whether the patient has complied with the treatment regimen.

223. The system of claim 1, wherein the activity analysis circuitry is configured to determine at least one of a keystroke pattern, an activity performance pattern, an activity performance error rate, an activity performance rate, an activity performance time, an activity performance frequency, an activity performance variability, and an activity performance accuracy.

224. The system of claim 1, wherein the transmitting device includes a at least one of a wireless transmitter, a network connection, and a communication port.

225. The system of claim 83, wherein the notification circuitry includes at least one of circuitry for generating an email notification, circuitry for generating a notification to be transmitted to a wireless device, circuitry for storing a notification in a data storage device, and circuitry for generating an audio notification.

2-29. -29. (canceled)

31-82. -82. (canceled)

84-88. -88. (canceled)

89. A method comprising:

sensing with at least one activity sensor in an unobtrusive activity-detection system at least one activity signal including a non-speech activity pattern corresponding to performance of a non-speech activity by a patient at a patient location, the patient having a brain-related disorder and a prescribed treatment regimen for treating at least one aspect of the brain-related disorder;

processing the at least one activity signal with activity detection circuitry in the unobtrusive activity-detection system to identify at least one section of the at least one activity signal containing the non-speech activity pattern;

analyzing the at least one section of the at least one activity signal with activity analysis circuitry in the unobtrusive activity-detection system to generate activity data including data indicative of whether the patient has complied with the treatment regimen; and

transmitting an activity data signal including the activity data including data indicative of whether the patient has complied with the treatment regimen to a receiving device at a monitoring location with at least one transmitting device at the patient location.

92. The method of claim 89, including receiving with an input device a treatment signal indicative of initiation of treatment of the patient according to the treatment regimen and beginning to sense the at least one activity signal responsive to receipt of the treatment signal indicative of initiation of treatment of the patient.

115. The method of claim 89, including sensing at least one physiological signal with at least one physiological sensor operatively connected to the unobtrusive activity-detection system.

122. The method of claim 89, including

determining with patient identification circuitry a presence of the patient based on at least one identity signal sensed at the patient location;

wherein sensing with the at least one activity sensor in the unobtrusive activity-detection system the at least one activity signal including the non-speech activity pattern corresponding to performance of the non-speech activity by the patient at the patient location includes sensing an activity of the patient based at least in part on the determination of the presence of the patient by the patient identification circuitry.

154. The method of claim 89, including transmitting time data to the receiving device with the at least one transmitting device at the patient location, the time data indicative of the time at which the at least one section of the at least one activity signal was detected.

155. The method of claim 89, including processing the at least one activity signal to exclude at least one portion of the at least one activity signal that does not contain activity of the patient.

156. The method of claim 89, including processing the at least one section of the at least one activity signal to determine at least one activity pattern of the patient.

159. The method of claim 156, including comparing the at least one activity pattern with at least one characteristic activity pattern to determine whether the patient has complied with the treatment regimen.

165. The method of claim 156, including

comparing the at least one activity pattern with a plurality of activity patterns;

and

determining which of the plurality of activity patterns best matches the at least one activity pattern.

226. The method of claim 89, wherein the non-speech activity pattern corresponds to at least one of unprompted performance of the non-speech activity by the patient, performance of the non-speech activity by the patient in connection with an activity of daily life, performance of a motor activity, and performance of an activity of daily life.

227. The method of claim 89, including performing at least one of sensing the at least one activity signal, processing the at least one activity signal, analyzing the at least one section of the at least one activity signal, and transmitting the activity data substantially continuously, intermittently, or according to a schedule.

228. The method of claim 89, wherein sensing the at least one activity signal includes sensing at least one activity signal including an activity pattern corresponding to performance of a motor activity;

wherein the motor activity includes at least one of typing, providing an input via a user interface device, providing an input via a touchscreen, providing an input via a pointing device, controlling a game system, controlling a vehicle system, and walking.

229. The method of claim 89, wherein sensing the at least one activity signal includes sensing at least one activity signal including an activity pattern corresponding to performance of an activity of daily life;

wherein the activity of daily life includes at least one of hygiene, washing, eating, dressing, brushing hair, brushing hair, combing hair, preparing food, interacting with another person, interacting with an animal, interacting with a machine, interacting with an electronic device, using an implement, and a grooming activity.

230. The method of claim 89, wherein sensing the at least one activity signal includes sensing at least one signal from at least one of a pressure sensor, a force sensor, a capacitive sensor, an imaging device, a motion sensor, a motion capture device, an acceleration sensor, and an optical sensor.

231. The method of claim 115, wherein the at least one physiological signal includes at least one of a signal indicative of whether the patient has complied with the treatment regimen, an EEG signal, an event-related potential is related to performance of the non-speech activity by the subject, a heart signal, an eye position signal, and a pupil diameter signal.

232. The method of claim 122, wherein the identity signal includes at least one of at least a portion of the at least one activity signal;

a voice signal received from an audio sensor at the patient location;

an image signal received from an imaging device at the patient location; and

a biometric signal from at least one biometric sensor at the patient location.

233. The method of claim 122, wherein the identity signal includes an image signal received from an imaging device at the patient location;

wherein determining the presence of the patient from the at least one identity signal includes analyzing the image signal through at least one of facial recognition, gait recognition or posture recognition to determine the presence of the patient; and

wherein processing the at least one activity signal with activity detection circuitry to identify at least one section of the at least one activity signal containing the non-speech activity pattern includes identifying at least a portion of the activity signal containing activity corresponding to an image signal indicative of the presence of the patient.

234. The method of claim 122, wherein the identity signal includes at least one of an authentication factor, a security token, a password, a digital signature, a cryptographic key, a cell phone identification code, an electronic serial number, a mobile identification number, a system identification code, and an RFID signal.

235. The method of claim 89, wherein the at least one activity signal includes at least one signal from at least one of a keyboard, a pointing device, a user interface device, a touchscreen, a remote controller for an entertainment device or system, a remote controller for a camera, a pressure sensor, a signal from at least one force sensor, a capacitive sensor, an imaging device, an optical sensor, a motion sensor, a motion capture device, and an acceleration sensor.

236. The method of claim 89, including at least one of receiving at least one instruction from the monitoring location and receiving a signal representing the prescribed treatment regimen from the monitoring location.

237. The method of claim 89, wherein transmitting the activity data signal to the receiving device at the monitoring location includes at least one of transmitting a wireless signal, and transmitting a signal via a computer network connection.

238. The method of claim 89, including storing at least one of the at least one activity signal and the activity data in a data storage device.

239. The method of claim 159, wherein comparing the at least one activity pattern with at least one characteristic activity pattern to determine whether the patient has complied with the treatment regimen includes comparing the at least one activity pattern with at least one previous activity pattern of the patient to determine whether the patient has complied with the treatment regimen;

wherein the at least one previous activity pattern is representative of an activity pattern of the patient prior to initiation of treatment of the brain-related disorder, an activity pattern of the patient after initiation of treatment of the brain-related disorder, an activity pattern of the patient during known compliance of the patient with a treatment of the brain-related disorder, or an activity pattern of the patient during treatment with a specified treatment regimen.

240. The method of claim 165, wherein the plurality of activity patterns are selected from stored prior activity patterns of the patient representative of activity patterns of the patient with different treatment regimens and stored population activity patterns representative of activity patterns of populations of subjects.

241. The method of claim 165, wherein the plurality of activity patterns are stored population activity patterns representative of activity patterns of populations of subjects, wherein at least one of the population activity patterns is representative of activity patterns of a population of subjects without the brain-related disorder, a population of untreated subjects with the brain-related disorder, a population of subjects having the brain-related disorder stabilized by treatment, and a population of subjects undergoing different treatment regimens for the brain-related disorder.

90-91. -91. (canceled)

93-114. -114. (canceled)

116-121. -121. (canceled)

123-153. -153. (canceled)

157-158. -158. (canceled)

160-164. -164. (canceled)

166-183. -183. (canceled)

184. A computer program product comprising:

a non-transitory signal-bearing medium bearing

one or more instructions for sensing with at least one activity sensor in an unobtrusive activity-detection system at least one activity signal including a non-speech activity pattern corresponding to performance of a non-speech activity by a patient at a patient location, the patient having a brain-related disorder and a prescribed treatment regimen for treating at least one aspect of the brain-related disorder;

one or more instructions for processing the at least one activity signal with activity detection circuitry in the unobtrusive activity-detection system to identify at least one section of the at least one activity signal containing the non-speech activity pattern;

one or more instructions for analyzing the at least one section of the at least one activity signal with activity analysis circuitry in the unobtrusive activity-detection system to generate activity data including data indicative of whether the patient has complied with the treatment regimen; and

one or more instructions for transmitting an activity data signal including the activity data including data indicative of whether the patient has complied with the treatment regimen to a receiving device at a monitoring location with at least one transmitting device at the patient location.

185-211. -211. (canceled)