MONITORING DEVICE AND COGNITIVE BEHAVIOR THERAPY

• US 20160317781A1
• Filed: 06/28/2016
• Published: 11/03/2016
• Est. Priority Date: 06/21/2013
• Status: Active Grant

• Current Assignee: Fitbit, Inc. (Alphabet Inc.)
• Original Assignee: Hello, Inc.
• Inventors: Proud, James
• Granted Patent: US 9,999,744 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2560/0209 adapted for power saving
• CPC Class Codes: A61B 2560/0252 using ambient temperature
• CPC Class Codes: A61B 2562/0204 Acoustic sensors
• CPC Class Codes: A61B 2562/0257 Proximity sensors
• 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 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/4812 Detecting sleep stages or cycles
• CPC Class Codes: A61B 5/4815 Sleep quality
• CPC Class Codes: A61B 5/4842 Monitoring progression or stage of a disease
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61B 5/6898 Portable consumer electronic devices, e.g. music players, telephones, tablet computers
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: A61M 2021/005 images, e.g. video
• CPC Class Codes: A61M 21/02 for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia for massage A61H; electrotherapy A61N, e.g. applying alternating or intermittent electric currents for producing anaesthesia A61N1/36021
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

A user monitoring device system includes a user monitoring device with a microphone and sensors to determine air quality, sound level/quality, light quality and ambient temperature near the user. A movement detection device detects a user'"'"'s movement information. The movement detection device and the monitoring system assist to determine user sleep information and sleep behavior information. The microphone records user movement sounds detected by the movement detection device. The movement detection device is configured to cause the microphone to stop recording user movement sounds when the movement sounds are not directed to a sleep related parameter. In response to determining user sleep information or sleep behavior information the system is used for treatment of sleep or psychiatric disorders.

Claims

1. A user monitoring device system, comprising:

a user monitoring device that includes a microphone and sensors to determine air quality, sound level/quality, light quality and ambient temperature near the user;

a movement detection device configured to detect a user'"'"'s movement information, the movement device and the monitoring system configured to assist to determine user sleep information and sleep behavior information, the microphone configured to record user movement sounds detected by the movement detection device, the movement detection device configured to cause the microphone to stop recording user movement sounds when the movement sounds are not directed to a sleep related parameter; and

wherein in response to determining user sleep information or sleep behavior information the system is used for treatment of sleep or psychiatric disorders.

2. The system of claim 1, further comprising:

a telemetry system in communication with the movement detection device and the monitoring device, the telemetry system including a database user sleep information or user behavior information used for treatment of sleep or psychiatric disorders.

3. The system of claim 1, wherein the system is configured to detect or assist to detect sleep disorders or sleep disturbances that are related to at least one of insomnia, mood disturbances and psychiatric disorders.

4. The system of claim 3, wherein the sleep disorders are associated with a psychiatric pathology.

5. The system of claim 3, wherein sleep and sleep related data collected relative to sleep disorders is used to provide analysis on an impact on treatment for the user.

6. The system of claim 1, wherein the user sleep information or sleep behavior information is used to classify a plurality of categories of sleep disorders associated with mental disorders selected from at least one of (i) mental disorders producing insomnia;

(ii) depression; and

(iv) anxiety.

7. The system of claim 1, wherein the user sleep information or sleep behavior information is used to detect polysomnographic abnormalities in sleep during a depressive or anxiety episode.

8. The system of claim 3, wherein detected insomnia is an indicator of a symptom of a manic episode.

9. The system of claim 1, In one embodiment system 10 measures reduced total sleep time and sleep efficacy.

10. The system of claim 2, wherein the system is configured to analyze panic attacks.

11. The system of claim 2, wherein the system is configured to determine at least one of:

(i) a decline in sleep efficiency;

sleep disruption; and

(iii) a decline in the REM latency.

12. The system of claim 2, wherein the system is configured to determine personality disorders resulting from a detection of insomnia.

13. The system of claim 2, wherein the system is configured to monitors sleep or sleep changes for schizophrenic patients.

14. The system of claim 2, wherein a based training program (CBT) or a virtual reality therapy (VRT) treatments is used by system 10.

15. The system of claim 14, wherein the CBT or VRT is used to provide a patient with coping skills in a video form.

16. The system of claim 15, wherein the CBT or VRT provides opportunities for patients to practice and review new skills.

17. The system of claim 14, wherein the CBT is a computerized CBT (CCBT).

18. The system of claim 17, wherein a patient can work at its own pace on its own schedule with CCBT.

19. The system of claim 14, wherein CBT or VRT treatment includes homework sessions provided to the patient.

20. The system of claim 14, wherein human coaching with or without a therapist is used with CBT or VRT treatment.

21. The system of claim 17, wherein CCBT is used with limited or no human contact with non-therapist coaches.

22. The system of claim 17, wherein stepped care models of treatment are provided by system 10.

23. The system of claim 2, wherein the system provides CBT to a patient that examines an association among at least one of a patient'"'"'s:

thoughts;

feelings; and

behaviors.

24. The system of claim 2, wherein the system provides a patient CBT and a treatment plan.

25. The system of claim 2, wherein the system provides a patient CBT with a treatment plan that enables the patient to learn to identify triggers or warning signs of a patient disorder.

26. The system of claim 25, wherein the triggers or warning signs are used by the patient to conduct at least one of:

utilize cognitive restructuring;

use self scheduling;

use behavioral activation; and

develop interpersonal communication.

27. The system of claim 24, wherein the treatment plan is used by the patient for at least one of:

relapse prevention plans;

crisis plans, transition plans for returning to a patient'"'"'s normal schedule or activities.

28. The system of claim 2, wherein the system provides a patient with self-assessment skills.

29. The system of claim 2, wherein the system provides a patient with a goal oriented treatment plan.

30. The system of claim 2, wherein the system provides a patient with homework assigns that are returned to the system for evaluation.