MONITORING TREATMENT COMPLIANCE USING PASSIVELY CAPTURED TASK PERFORMANCE PATTERNS

• US 20160135738A1
• 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:
  US14/938,940
• Publication Number:
  US 20160135738A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2560/0475 Special features of memory means, e.g. removable memory cards
• CPC Class Codes: A61B 3/112 for measuring diameter of pupils
• CPC Class Codes: A61B 3/113 for determining or recording eye movement
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/117 Identification of persons methods or arrangements for recognising patterns, e.g. fingerprints, G06F18/00, G06V40/00; identification of persons by analysing their voice or speech G10L17/00
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/4064 Evaluating the brain A61B5/031, A61B5/369, A61B5/14553 take precedence
• CPC Class Codes: A61B 5/4803 Speech analysis specially adapted for diagnostic purposes
• CPC Class Codes: A61B 5/4833 Assessment of subject's compliance to treatment
• CPC Class Codes: A61B 5/6897 Computer input devices, e.g. mice or keyboards
• CPC Class Codes: A61B 5/7246 using correlation, e.g. template matching or determination of similarity
• CPC Class Codes: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61B 5/7405 using sound
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: A61B 5/746 Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B

Abstract

Methods and systems are described for unobtrusively monitoring patient activity to determine compliance of the patient with a prescribed regimen for treating for a brain-related disorder. Patient activity associated with routine patient activities is detected with an activity sensor at the patient location, and activity data is transmitted to a monitoring location. 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. A system comprising:

at least one receiving device for use at a monitoring location for receiving an activity data signal transmitted to the monitoring location from a patient location, the activity data signal containing activity data representing at least one non-speech activity pattern in activity sensed from a patient with at least one activity sensor in an unobtrusive activity-detection system at the patient location during performance of the non-speech activity by the patient, the patient having a brain-related disorder and a prescribed treatment regimen for treating at least one aspect of the brain-related disorder;

signal processing circuitry configured to analyze the activity data signal to determine whether the activity data represents at least one non-speech activity pattern that matches at least one characteristic activity pattern;

compliance determination circuitry configured to determine whether the patient has complied with the prescribed treatment regimen based upon whether the activity data represents the at least one non-speech activity pattern that matches the at least one characteristic activity pattern; and

reporting circuitry configured to report a conclusion based on the determination of whether the patient has complied with the prescribed treatment regimen.

2. The system of claim 1, wherein the signal processing circuitry is configured to analyze the activity data signal to identify at least one non-speech activity pattern that corresponds to unprompted performance of the non-speech activity by the patient.

35. The system of claim 1, including patient identification circuitry configured to determine a presence of the patient from at least one identity signal received by a receiving device at the monitoring location from the patient location;

wherein the signal processing circuitry is configured to identify patient activity data corresponding to an activity of the patient based at least in part on the determination of the presence of the patient by the patient identification circuitry.

65. The system of claim 1, wherein the at least one receiving device is adapted to receive a physiological activity data signal indicative of at least one physiological signal sensed with at least one physiological sensor operatively connected to the unobtrusive activity-detection system.

196. The system of claim 1, wherein the non-speech activity pattern is an activity pattern corresponding to performance of at least one of a motor activity and an activity of daily life.

197. The system of claim 35, wherein the identity signal includes at least one of at least a portion of the activity data 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, a biometric signal from at least one biometric sensor at the patient location, 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.

198. The system of claim 1, including at least one of an input device for receiving prescription information indicative of the treatment regimen prescribed to the patient, and a data storage device for storing prescription information indicative of the treatment regimen prescribed to the patient.

199. The system of claim 1, wherein the at least one receiving device includes at least one of a wireless receiver, a computer network connection, a communication port, and a computer drive.

200. The system of claim 1, wherein the compliance determination circuitry includes at least one of a comparator for comparing the activity data with characteristic activity data representing the characteristic activity pattern and a comparator for comparing a non-speech activity pattern represented by the activity data with the at least one characteristic activity pattern, the non-speech activity patterned determined from analysis of the activity data by an activity analyzer.

201. The system of claim 1, wherein the reporting circuitry includes at least one of a display device, circuitry for generating an email notification, circuitry for transmitting a notification to a wireless device, circuitry for generating an audio alarm, and circuitry for storing a notification in a data storage device.

3-34. -34. (canceled)

36-64. -64. (canceled)

66-71. -71. (canceled)

72. A method of monitoring compliance of a patient with a prescribed treatment regimen, comprising:

receiving an activity data signal with a receiving device at a monitoring location, the activity data signal transmitted to the monitoring location from a patient location, the activity data signal containing activity data representing at least one non-speech activity pattern in activity sensed from a patient with at least one activity sensor in an unobtrusive activity-detection system at the patient location during performance of the non-speech activity by the patient, the patient having a brain-related disorder and a prescribed treatment regimen intended to treat at least one aspect of the brain-related disorder;

analyzing the activity data signal with signal processing circuitry at the monitoring location to determine whether the activity data represents at least one non-speech activity pattern that matches at least one characteristic activity pattern;

determining with compliance determination circuitry at the monitoring location whether the patient has complied with the prescribed treatment regimen based on whether the activity data represents the at least one non-speech activity pattern that matches the at least one characteristic activity pattern; and

reporting with reporting circuitry a conclusion based on the determination of whether the patient has complied with the prescribed treatment regimen.

73. The method of claim 72, wherein the non-speech activity pattern corresponds to unprompted performance of the non-speech activity by the patient.

74. The method of claim 72, including receiving a signal indicative of initiation of treatment of the patient according to the treatment regimen and beginning to receive activity data with the receiving device responsive to receipt of the signal indicative of initiation of treatment of the patient.

97. The method of claim 72, including receiving with at least one receiving device a physiological activity data signal indicative of at least one physiological signal sensed with at least one physiological sensor operatively connected to the unobtrusive activity-detection system.

104. The method of claim 72, including determining a presence of the patient with patient identification circuitry at the monitoring location from at least one identity signal received at the monitoring location from the patient location, and using activity identification circuitry to identify patient activity data corresponding to activity of the patient based at least in part on the identity signal.

116. The method of claim 104, including separating patient activity data from the patient from activity data from other people.

121. The method of claim 72, including

determining a time at which the activity data representing the at least one non-speech activity pattern that matches the at least one characteristic activity pattern was detected from the patient;

wherein the at least one characteristic activity pattern corresponds to an activity pattern expected to be produced in the subject in response to the prescribed treatment regimen at a specific time following initiation of the prescribed treatment regimen.

126. The method of claim 72, wherein analyzing the activity data signal with signal processing circuitry at the monitoring location to determine whether the activity data represents at least one non-speech activity pattern that matches at least one characteristic activity pattern includes comparing the non-speech activity pattern represented by the activity data with the at least one characteristic activity pattern.

127. The method of claim 126, wherein comparing the non-speech activity pattern represented by the activity data with the at least one characteristic activity pattern includes comparing the non-speech activity pattern represented by the activity data with a plurality of characteristic activity patterns.

128. The method of claim 127, including

determining which of the plurality of characteristic activity patterns best matches the non-speech activity pattern represented by the activity data.

131. The method of claim 72, wherein analyzing the activity data signal with signal processing circuitry at the monitoring location to determine whether the activity data represents at least one non-speech activity pattern that matches at least one characteristic activity pattern includes comparing the activity data with characteristic activity data representing the characteristic activity pattern.

132. The method of claim 131, wherein comparing the activity data with the characteristic activity data representing the characteristic activity pattern includes comparing the activity data with a plurality of characteristic activity data sets, each said characteristic activity data set representing a characteristic activity pattern.

157. The method of claim 72, wherein the at least one characteristic activity pattern includes at least one previous non-speech activity pattern of the patient.

162. The method of claim 72, wherein the at least one characteristic activity pattern includes at least one population activity pattern representative of a typical non-speech activity pattern of a population of subjects.

202. The method of claim 72, wherein the activity data represents a non-speech activity pattern corresponding to performance of at least one of a motor activity and an activity of daily life.

203. The method of claim 72, wherein the activity data represents a non-speech activity pattern corresponding to performance of a motor activity, wherein the motor activity includes at least one of typing, providing input via a user interface device, and walking.

204. The method of claim 72, wherein the activity data signal contains activity data indicative of at least one of a keystroke pattern, an activity performance rate, an activity performance time, an activity performance frequency, an activity performance variability, an activity performance accuracy, and an activity performance error rate.

205. The method of claim 72, wherein the activity data signal contains activity data including data 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.

206. The method of claim 97, wherein the at least one physiological activity data signal includes at least one of data indicative of whether the patient has complied with the treatment regimen, EEG data, event-related potential data related to performance of the non-speech activity by the subject, heart rate data, eye position data and pupil diameter data.

207. The method of claim 104, wherein the identity signal includes an image signal received from an imaging device at the patient location;

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

wherein using activity identification circuitry to identify patient activity data corresponding to activity of the patient based at least in part on the identity signal includes identifying activity data corresponding to an image signal indicative of a presence of the patient.

208. The method of claim 104, wherein the identity signal includes at least one of at least a portion of the activity data signal, a voice signal, an image signal received from an imaging device at the patient location, a biometric signal from at least one biometric sensor at the patient location, 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.

209. The method of claim 72, including at least one of receiving time data with a receiving device, the time data transmitted to the monitoring location from the patient location, the time data indicative of a time at which the activity data representing the at least one non-speech activity pattern was sensed;

storing prescription information in a data storage device at the monitoring location, the prescription information representing the prescribed treatment regimen;

receiving prescription information representing the prescribed treatment regimen; and

prescribing the treatment regimen intended to treat the at least one aspect of the brain-related disorder to the patient.

210. The method of claim 72, wherein receiving the activity data signal includes at least one of receiving a wireless signal, receiving data via a computer network connection, receiving data from a communication port, and receiving data from a data storage device.

211. The method of claim 128, including at least one of

determining a treatment regimen corresponding to the characteristic activity pattern that best matches the non-speech activity pattern, wherein the plurality of characteristic activity patterns include a plurality of previous non-speech activity patterns each representative of a non-speech activity pattern of the patient undergoing a different treatment regimen for treatment of the brain-related disorder;

and

determining a treatment regimen corresponding to the characteristic activity pattern that best matches the non-speech activity pattern, wherein the plurality of characteristic activity patterns include a plurality of population non-speech activity patterns each representative of a typical non-speech activity pattern for a population of subjects undergoing a different treatment regimen for treatment of the brain-related disorder.

75-96. -96. (canceled)

98-103. -103. (canceled)

105-115. -115. (canceled)

117-120. -120. (canceled)

122-125. -125. (canceled)

129-130. -130. (canceled)

133-156. -156. (canceled)

158-161. -161. (canceled)

163-165. -165. (canceled)

166. A computer program product comprising:

a non-transitory signal-bearing medium bearing

one or more instructions for receiving an activity data signal with a receiving device at a monitoring location, the activity data signal transmitted to the monitoring location from a patient location, the activity data signal containing activity data representing at least one non-speech activity pattern in activity sensed from a patient with at least one activity sensor in an unobtrusive activity-detection system at the patient location during performance of the non-speech activity by the patient, the patient having a brain-related disorder and a prescribed treatment regimen intended to treat at least one aspect of the brain-related disorder;

one or more instructions for analyzing the activity data signal with signal processing circuitry at the monitoring location to determine whether the activity data represents at least one non-speech activity pattern that matches at least one characteristic activity pattern;

one or more instructions for determining with compliance determination circuitry at the monitoring location whether the patient has complied with the prescribed treatment regimen based on whether the activity data represents the at least one non-speech activity pattern that matches the at least one characteristic activity pattern; and

one or more instructions for reporting with reporting circuitry a conclusion based on the determination of whether the patient has complied with the prescribed treatment regimen.

167. The computer program product of claim 166, wherein the non-transitory signal-bearing medium bears

one or more instructions for receiving with the receiving device a signal indicative of initiation of treatment of the patient according to the treatment regimen;

and

one or more instructions for beginning to receive the activity data signal responsive to receipt of the signal indicative of initiation of treatment of the patient.

172. The computer program product of claim 166, wherein the non-transitory signal-bearing medium bears

one or more instructions for determining a presence of the patient from at least one identity signal received at the monitoring location from the patient location, and

one or more instructions for identify patient activity data corresponding to activity of the patient based at least in part on the identity signal.

177. The computer program product of claim 166, wherein the non-transitory signal-bearing medium bears one or more instructions for

determining a time at which the activity data representing the at least one non-speech activity pattern that matches the at least one characteristic activity pattern was detected from the patient;

wherein the at least one characteristic activity pattern corresponds to an activity pattern expected to be produced in the subject in response to the prescribed treatment regimen at a specific time following initiation of the prescribed treatment regimen.

182. The computer program product of claim 166, wherein the one or more instructions for analyzing the activity data signal with signal processing circuitry at the monitoring location to determine whether the activity data represents at least one non-speech activity pattern that matches at least one characteristic activity pattern include one or more instructions for comparing the non-speech activity pattern represented by the activity data with the at least one characteristic activity pattern.

184. The computer program product of claim 182, wherein the non-transitory signal-bearing medium bears one or more instructions for determining a treatment regimen corresponding to the characteristic activity pattern that best matches the non-speech activity pattern, wherein the plurality of characteristic activity patterns include a plurality of previous non-speech activity patterns each representative of a non-speech activity pattern of the patient undergoing a different treatment regimen for treatment of the brain-related disorder.

185. The computer program product of claim 182, wherein the non-transitory signal-bearing medium bears one or more instructions for determining a treatment regimen corresponding to the characteristic activity pattern that best matches the non-speech activity pattern, wherein the plurality of characteristic activity patterns include a plurality of population non-speech activity patterns each representative of a typical non-speech activity pattern for a population of subjects undergoing a different treatment regimen for treatment of the brain-related disorder.

186. The computer program product of claim 166, wherein the one or more instructions for analyzing the activity data signal with signal processing circuitry at the monitoring location to determine whether the activity data represents at least one non-speech activity pattern that matches at least one characteristic activity pattern include one or more instructions for comparing the activity data with characteristic activity data representing the characteristic activity pattern.

212. The computer program product of claim 166, wherein the non-transitory signal-bearing medium bears one or more instructions for performing substantially continuously, intermittently, or according to a schedule at least one of receiving the activity data signal, analyzing the activity data signal, determining whether the patient has complied with the prescribed treatment regimen, and reporting the conclusion.

168-171. -171. (canceled)

173-176. -176. (canceled)

178-181. -181. (canceled)

183. (canceled)

187-195. -195. (canceled)