JPWO2021176406A5

JPWO2021176406A5 -

Info

Publication number: JPWO2021176406A5
Application number: JP2022553194A
Authority: JP
Publication date: 2024-03-05

Claims

a memory for storing machine-readable instructions;
receiving first physiological data associated with a user, the first physiological data generated by the sensor;
determining an initial sleepiness level of the user based at least in part on initial physiological data;
prompting said user via an electronic device to perform a first activity;
subsequent physiological data associated with the user, generated by the sensor while the user is performing the first activity, after the user has performed the activity, or both; to receive subsequent physiological data;
determining a subsequent sleepiness level of the user based at least in part on the subsequent physiological data; and a first activity score indicative of the effectiveness of the first activity in altering sleepiness of the user; a control system comprising one or more processors configured to execute the machine-readable instructions to make a determination based at least in part on the initial drowsiness level and the subsequent drowsiness level.

The system of claim 1 , wherein the first activity score is determined based at least in part on a difference between the initial sleepiness level and the subsequent sleepiness level.

3. The system of claim 1 or claim 2 , wherein the first activity score is determined based at least in part on a rate of change between the initial sleepiness level and the subsequent sleepiness level.

4. The system of any one of claims 1 to 3 , wherein the control system is further configured to determine whether the subsequent drowsiness level exceeds a predetermined threshold.

The control system is configured to at least partially depend on a difference between a first time associated with the first drowsiness level and a second time associated with the subsequent drowsiness level exceeding the predetermined threshold. 5. The system of claim 4 , further configured to determine the first activity score based on.

Claims 1-5, wherein the control system is further configured to prompt the user via the electronic device to perform a second activity based at least in part on the first activity score . The system according to any one of the following.

7. The system of claim 6 , wherein the second activity has a lower complexity than the first activity.

8. A system according to claim 6 or claim 7 , wherein the duration of the second activity is longer than the duration of the first activity.

The first activity, the second activity, or both may involve a mental activity, a physical activity, a game, a puzzle, reading, watching a video, listening to an audio content, exercising, moving, breathing exercise, or any combination thereof. 9. A system according to any one of claims 6 to 8 , comprising:

The control system includes:
receiving information indicative of the user's response to the provided stimulus;
10. Determining the first activity score based at least in part on the information indicative of the response of the user to the provided stimulus. System described.

11. The system of claim 10 , wherein the information indicative of the reaction of the user includes reaction time, reaction accuracy, or both.

12. The system of any preceding claim, wherein the sensor comprises an EEG sensor, an acoustic sensor, a camera, a motion sensor, an infrared sensor, or any combination thereof.

The first physiological data, the subsequent physiological data, or both may include opening of the user's eyes, closing of the user's eyes, blinking of the user's eyes, pupil dilation of the user's eyes, and body temperature of the user. , the user's head movement, the user's heart rate, the user's heart rate variability, the user's breathing rate, or any combination thereof . .

a memory for storing machine-readable instructions;
receiving first physiological data associated with a user, the first physiological data generated by the sensor;
determining an initial sleepiness level of the user based at least in part on first physiological data;
prompting said user via an electronic device to perform a first activity;
receiving second physiological data associated with the user, wherein the subsequent physiological data is performed while the user is performing the first activity; generated by said sensor after performing or both;
determining a subsequent sleepiness level of the user based at least in part on the second physiological data; and determining a first activity score indicative of the effectiveness of the first activity in altering the user's sleepiness. a control system comprising one or more processors configured to execute the machine-readable instructions to make a determination based at least in part on the initial drowsiness level and the subsequent drowsiness level.

15. The control system is further configured to receive third physiological data associated with the user during a sleep session after the user performs the first activity. system.

Claim wherein the control system is further configured to determine one or more sleep-related parameters associated with the user in the sleep session based at least in part on the third physiological data. The system according to item 15 .

17. The system of claim 16 , wherein the one or more sleep-related parameters include a sleep onset latency parameter.

18. The system of claim 16 or claim 17 , wherein the control system is further configured to ascertain the first activity score based at least in part on the one or more sleep-related parameters.

an electronic interface configured to receive physiological data associated with a user, the physiological data being generated by one or more sensors;
a memory for storing machine-readable instructions;
determining an initial sleepiness level of the user based at least in part on the physiological data;
prompting said user using an electronic device to perform a first activity;
determining a second sleepiness level of the user based at least in part on the physiological data in response to the user performing the first portion of the first activity; and the first sleepiness level. , the second sleepiness level, or both. a control system including one or more processors configured to perform.

19. The one or more parameters of the first activity include complexity, speed, volume, rhythm, meter, musical tempo, brightness, font size, font type, color, or any combination thereof. system described in.

The control system is further configured to determine one or more respiratory parameters associated with the user during a first portion of the first activity based at least in part on the physiological data. 20. The system of claim 19 .

22. The system of claim 21 , wherein the one or more respiratory parameters include respiratory rate, respiratory amplitude, tidal volume change, inspiration amplitude, expiratory amplitude, inspiration-to-expiration ratio, or any combination thereof.

the one or more parameters of the first activity include rhythm, meter, musical tempo, or any combination thereof; the control system controls the rhythm of the second portion of the first activity; further configured to change the time signature, the music tempo, or any combination thereof based at least on the determined one or more breathing parameters to assist in reducing the user's breathing rate; 22. The system according to claim 20 or claim 21 .

24. A system according to any one of claims 19 to 23 , wherein the control system is further configured to determine a rate of change between the initial drowsiness level and the second drowsiness level.

25. The control system of claim 24, wherein the control system is configured to continuously change the one or more parameters of the first activity in the second portion based on the determined rate of change . System described.

an electronic interface configured to receive (i) first physiological data associated with a user and (ii) second physiological data associated with the user, the electronic interface comprising: an electronic interface, wherein the physiological data and the second physiological data are generated by one or more sensors;
a memory for storing machine-readable instructions;
storing in a user profile associated with the user historical drowsiness data of the user including a set of previously recorded changes in sleepiness level of the user; each change in level is associated with a corresponding one of a plurality of activities, and the historical sleepiness data is based at least in part on the first physiological data;
determining an initial sleepiness level of the user based at least in part on the second physiological data generated by a second sensor;
training a machine learning algorithm using the user profile, such that the machine learning algorithm (i) receives as input the initial sleepiness level of the user; and (ii) receives one from the plurality of activities. executing the machine-readable instructions to determine an output of one or more recommended activities configured to assist the user in changing the sleepiness level relative to the initial sleepiness level; a control system including one or more configured processors.

27. The system of claim 26 , wherein the one or more sensors include an EEG sensor.

The user profile includes demographic information associated with the user, biometric information associated with the user, medical information associated with the user, user feedback provided by the user, or any combination thereof. , a system according to claim 26 or claim 27 .

From claim 26 , wherein the plurality of activities include games, puzzles, reading predetermined content, viewing predetermined video content, listening to predetermined audio content, exercise, movement, or any combination thereof. 29. The system according to any one of 28 .

30. The system of any one of claims 26 to 29 , wherein the sleepiness level of the user is determined based on the user's response to a stimulus.

31. The system of claim 30 , wherein the sleepiness level of the user is determined based on accuracy of response to the stimulus.

32. A system according to any one of claims 26 to 31 , wherein the sleepiness level is unresponsive, concentrated, or fatigued.

33. The system of any one of claims 26 to 32 , wherein the output of the machine learning algorithm includes a recommended complexity of the recommended one or more activities.

34. The system of claim 33 , wherein the complexity of the one or more recommended activities is decreased over a predetermined period of time to assist in increasing the user's current level of sleepiness.

a display device configured to display a plurality of media content segments;
a sensor configured to generate data associated with the user while the user views each of the plurality of media content segments;
a memory for storing machine-readable instructions;
generating, for each of the plurality of media content segments, a score based at least in part on the generated data associated with the user, the score indicative of a change in sleepiness level of the user;
determining the current sleepiness level of the user; and recommending one or more of the plurality of media content segments based at least in part on the current sleepiness level of the user; a control system including one or more processors configured to execute the machine-readable instructions to assist in changing the sleepiness level of the patient.

36. The system of claim 35 , wherein each of the plurality of media content segments includes video content, audio content, or both.

37. The system of claim 35 or claim 36 , wherein the sleepiness level of the user is on the verge of falling asleep, drowsy, or awake.

38. The system of any one of claims 35-37 , wherein the plurality of media content segments include television shows, movies, video game sessions, document review sessions, programs, or any combination thereof.