Insomnia assessment and treatment device and method

• US 20060019224A1
• Filed: 07/23/2004
• Published: 01/26/2006
• Est. Priority Date: 07/23/2004
• Status: Abandoned Application

• Current Assignee: PICS, Inc.
• Original Assignee: PICS, Inc.
• Inventors: Riley, William T., Behar, Albert
• Application Number:
  US10/897,035
• Publication Number:
  US 20060019224A1
• Time in Patent Office: Days
• US Class Current: 434/236
• CPC Class Codes: A61B 5/4809 Sleep detection, i.e. determining whether a subject is asleep or not
• CPC Class Codes: A61M 2021/0022 by the tactile sense, e.g. vibrations
• CPC Class Codes: A61M 2021/0027 by the hearing sense
• 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: A61M 2205/3553 remote, e.g. between patient's home and doctor's office
• CPC Class Codes: A61M 2205/3584 using modem, internet or bluetooth

Abstract

A method of automated sleep behavior modification for insomnia and other sleep problems using a computerized treatment system including: determining a baseline sleep pattern of a user and storing in the system data indicative of the baseline sleep pattern; generating a sleep behavior regimen based on the stored sleep pattern data and a behavior modification algorithm, wherein the algorithm generates sleep inducement behavior prompts; prompting the user to perform a predetermined sleep inducement behavior at a time determined by the regimen; tracking the sleep behavior of the user and storing data indicative of the tracked sleep behavior; modifying the regimen based on the tracked sleep behavior, and prompting the user to perform the predetermined sleep inducement behavior at a time determined by the modified regimen.

Claims

1. A method for automated sleep behavior modification using a computerized treatment system comprising:

a. determining a baseline sleep pattern of a user and storing in the system data indicative of the baseline sleep pattern;

b. generating a sleep behavior regimen based on the stored sleep pattern data and a behavior modification algorithm, wherein the algorithm generates behavior prompts;

c. prompting the user to perform a predetermined sleep inducement behavior at a time determined by the regimen;

d. tracking a sleep behavior of the user and storing data indicative of the tracked sleep behavior;

e. modifying the regimen based on the tracked sleep behavior, and

f. prompting the user to perform the predetermined sleep inducement behavior at a time determined by the modified regimen.

2. A method as in claim 1 wherein the predetermined sleep inducement behavior is prompting a prescribed bedtime and wake-up time.

3. A method as in claim 2, wherein prompting the sleep inducement behavior comprises prompting the user to get out of bed if the user does not fall asleep within a predetermined time after getting into bed.

4. A method as in claim 1 wherein the system comprises an insomnia assessment and treatment device (IATD) and the IATD comprises a processor, a user interface and a memory and said method further comprises the IATD automatically recording sleep behavior data the sleep pattern by recording the sleep behavior of the user, and storing the sleep behavior data in memory.

5. A method as in claim 1 wherein data regarding the baseline sleep pattern data are collected by monitoring the user during at least one sleep period.

6. A method as in claim 1 wherein data regarding the baseline sleep pattern data are collected by tracking a response of the user to a series of sleep behavior prompts periodically issued throughout a sleep period.

7. A method as in claim 1 wherein data regarding the baseline sleep pattern data are collected by determining when the user releases a dead man'"'"'s switch.

8. A method as in claim 1 wherein data regarding the baseline sleep pattern data are collected by actively sampling responses of a user to a series of sleep behavior prompts given while the user is in bed.

9. A method as in claim 1 wherein data regarding the baseline sleep pattern data comprises baseline sleep data manually entered into the system.

10. A method as in claim 1 further comprising maintaining the regimen for a period without further modification after a desired sleep behavior has been achieved.

11. A method for insomnia assessment and treatment comprising:

a. assessing a sleep pattern of a user and storing data regarding the sleep pattern and generating a sleep regimen;

b. prompting the user to perform the sleep inducement behaviors as prescribed by the regimen, and

c. tracking the sleep pattern of the user after step (b) and storing data regarding the tracked sleep pattern;

d. modifying the sleep inducement regimen based on the tracked sleep pattern, and

e. prompting the user to perform a predetermined sleep inducement behavior prescribed by the modified regimen.

12. A method as in claim 11 wherein the predetermined sleep behavior is the time the patient gets into bed.

13. A method as in claim 11 wherein an insomnia assessment and treatment device (IATD) comprises a processor, a user interface and a memory and said method further comprises the IATD automatically recording sleep behavior data, the sleep pattern by recording the sleep behavior of the user, and storing the sleep behavior data in the memory.

14. A method as in claim 11 wherein assessing the sleep pattern comprises monitoring the user'"'"'s sleep for a period of time.

15. A method as in claim 11 wherein assessing the sleep pattern comprises periodically prompting the user to respond if awake and tracking the response of the user.

16. A method as in claim 11 wherein assessing the sleep pattern comprises monitoring when the user releases a dead man'"'"'s switch.

17. A method as in claim 11 wherein assessing the sleep pattern comprises actively sampling responses of a user to a series of prompts given while the user is in bed.

18. A method as in claim 11 wherein the sleep pattern assessment comprises baseline sleep data manually entered into the system.

19. A method as in claim 11 further comprising maintaining the modified regimen for a period without further modification after a desired sleep behavior has been achieved.

20. A method for sleep behavior modification using a computerized treatment system comprising:

a. storing sleep pattern data in the memory of the treatment system;

b. generating a sleep behavior regimen based on the stored sleep behavior data and a behavior modification algorithm, wherein the algorithm generates sleep behavior prompts;

said sleep behavior prompts for getting in or out of bed based on prior sleep time, awake time, and sleep efficiency;

c. prompting the patient to perform a predetermined sleep inducement behavior at a time determined by the treatment system;

d. after step c, tracking sleep behavior of the user and storing data indicative of the tracked sleep behavior;

e. modifying the regimen based on the tracked sleep behavior, and

f. prompting the user to perform the predetermined sleep behavior at a time determined by the modified regimen.

21. A method as in claim 20 wherein the stored sleep behavior data are collected by monitoring a user'"'"'s sleep for a period of time.

22. A method as in claim 20 wherein the stored sleep behavior data are collected by prompting the user to respond if awake to a prompt;

or responds involuntarily or physiologically to a prompt.

23. A method as in claim 20 wherein the stored sleep behavior data is collected by monitoring when the user releases a dead man'"'"'s switch.

24. A method as in claim 20 wherein the stored sleep behavior data is collected by actively sampling responses to a user to a series of prompts given while the patient is in bed.

25. A method as in claim 20 wherein the stored sleep behavior comprises baseline sleep data manually entered into the system.

26. A method as in claim 20 further comprising maintaining the regimen for a period without further modification after desired sleep behavior has been achieved.

27. A method of assessing a sleep behavior pattern of a user operating a computer controlled treatment device, said method comprising:

a. the device active sampling the user to periodically determine whether the user is awake or asleep;

b. the device automatically collecting data indicative of whether the user is awake or asleep during the active sampling, and

c. determining a sleep behavior pattern of the user based on the collected data.

28. The method as in claim 27 wherein the step of active sampling comprises periodically prompting the user to respond if awake, and the step of automatic collecting comprises the device recording as the data the responses and lack of responses to the prompts.

29. The method as in claim 28 wherein the step of active sampling comprises periodically issuing a prompt to the user while the user is in bed and the step of automatically collecting data is recording whether the user responds to each prompt.

30. The method as in claim 29 wherein in the step of determining the sleep behavior the collected data are used to assess total sleep time of the user while in bed.

31. The method as in claim 29 wherein the collected data are used to assess sleep onset latency.

32. The method as in claim 29 wherein the collected data are used to assess sleep efficiency of the user.

33. The method as in claim 27 wherein the sleep behavior pattern is manually inputted into the device.

34. A device for assisting a user to adjust a sleep behavior, said device comprising:

a processor and a storage device, wherein an executable program and sleep pattern data are stored in the storage device, and the processor executes said executable program to generate a sleep regimen based on the sleep pattern data;

a user prompt activated by the processor, wherein the processor activates the prompt in accordance with the sleep regimen to prompt the user to perform the sleep behavior, and an input activated by the user to indicate when the prompted sleep behavior is performed.

35. The device as in claim 34 wherein the user prompt is a speaker issuing an audible signal.

36. The device as in claim 34 wherein the user input is a key actuated by the user.

37. The device as in claim 34 wherein the sleep behavior is a prescribed bedtime.

38. The device as in claim 34 further comprising a second input to receive a response by the user to a second prompt, wherein the second prompt is periodically generated by the processor to actively sample the sleep pattern of the user.