Application US20180353125

METHOD AND APPARATUS FOR DETERMINING SLEEP STATE USING BIOMETRIC INFORMATION AND MOTION INFORMATION
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US20180353125

1. A sleep state determination method using biometric and motion information, the sleep state determination method comprising: (2) (4)

acquiring motion information of a user using a motion sensor;

determining a primary sleep state of the user based on the acquired motion information;

acquiring biometric information of the user using a biometric sensor when the primary sleep state is determined; and

determining a final sleep state of the user by combining the acquired biometric information and the primary sleep state.

2. The sleep state determination method according to claim 1, wherein the determining a primary sleep state comprises: (2) (3)

calculating a motion intensity and a motion frequency from the motion information;

calculating a motion score based on the calculated motion intensity and motion frequency; and

determining the primary sleep state of the user based on the calculated motion score.

3. The sleep state determination method according to claim 2, wherein the motion frequency is a number of times the motion intensity exceeds a preset threshold during a predetermined time. (0)

4. The sleep state determination method according to claim 2, wherein, in the determining the primary sleep state of the user based on the calculated motion score, the primary sleep state of the user is determined to be one of a sleep state or a non-sleep state based on the motion score. (0)

5. The sleep state determination method according to claim 1, wherein the biometric information includes a photoplethysmography (PPG) signal of the user. (1) (0)

6. The sleep state determination method according to claim 5, wherein the determining a final sleep state comprises: (3) (3)

calculating a heart rate variability by analyzing the PPG signal;

comparing the calculated heart rate variability with a predetermined normal heart rate variability; and

determining the final sleep state by combining a result of the comparison and the primary sleep state.

7. The sleep state determination method according to claim 6, wherein, in the determining the final sleep state, when the calculated heart rate variability is greater than the predetermined normal heart rate variability, the final sleep state is determined to be a Rapid Eye Movement (REM) sleep state regardless of the primary sleep state. (0)

8. The sleep state determination method according to claim 6, wherein, in the determining the final sleep state, when the calculated heart rate variability is equal to the predetermined normal heart rate variability within a predetermined error range, the final sleep state is determined to be a non-sleep state regardless of the primary sleep state. (0)

9. The sleep state determination method according to claim 6, wherein, in the determining the final sleep state, when the calculated heart rate variability is smaller than the predetermined normal heart rate variability and the primary sleep state is a sleep state, the final sleep state is determined to be a non-REM (NREM) sleep state. (0)

10. A sleep state determination apparatus using biometric and motion information, the apparatus comprising at least one processor and a memory storing at least one instruction executed by the at least one processor, wherein the at least one instruction is configured to: (2) (4)

acquire motion information of a user using a motion sensor;

determine a primary sleep state of the user based on the acquired motion information;

acquire biometric information of the user using a biometric sensor when the primary sleep state is determined; and

determine a final sleep state of the user by combining the acquired biometric information and the primary sleep state.

11. The sleep state determination apparatus according to claim 10, wherein, in the determining of the primary sleep state, the at least one instruction is further configured to: (2) (3)

calculate a motion intensity and a motion frequency from the motion information;

calculate a motion score based on the calculated motion intensity and motion frequency; and

determine the primary sleep state of the user based on the calculated motion score.

12. The sleep state determination apparatus according to claim 11, wherein the motion frequency is a number of times the motion intensity exceeds a preset threshold during a predetermined time. (0)

13. The sleep state determination apparatus according to claim 11, wherein, in the determining of the primary sleep state, the at least one instruction is further configured to determine the primary sleep state of the user to be one of a sleep state or a non-sleep state based on the motion score. (0)

14. The sleep state determination apparatus according to claim 10, wherein the biometric information includes a photoplethysmography (PPG) signal of the user. (1) (0)

15. The sleep state determination apparatus according to claim 14, wherein, in the determining of the final sleep state, the at least one instruction is further configured to: (3) (3)

calculate a heart rate variability by analyzing the PPG signal;

compare the calculated heart rate variability with a predetermined normal heart rate variability; and

determine the final sleep state by combining a result of the comparison and the primary sleep state.

16. The sleep state determination apparatus according to claim 15, wherein, in the determining of the final sleep state, the at least one instruction is further configured to determine the final sleep state to be a Rapid Eye Movement (REM) sleep state regardless of the primary sleep state when the calculated heart rate variability is greater than the predetermined normal heart rate variability (0)

17. The sleep state determination apparatus according to claim 15, wherein, in the determining of the final sleep state, the at least one instruction is further configured to determine the final sleep state to be a non-sleep state regardless of the primary sleep state when the calculated heart rate variability is equal to the predetermined normal heart rate variability within a predetermined error range. (0)

18. The sleep state determination apparatus according to claim 15, wherein, in the determining of the final sleep state, the at least one instruction is further configured to determine the final sleep state to be a non-REM (NREM) sleep state when the calculated heart rate variability is smaller than the predetermined normal heart rate variability and the primary sleep state is a sleep state. (0)

19. A sleep state determination method using biometric information, the sleep state determination method comprising: (1) (4)

acquiring biometric information of a user using a biometric sensor;

calculating a heart rate variability by analyzing a photoplethysmography (PPG) signal included in the biometric information;

comparing the calculated heart rate variability with a predetermined normal heart rate variance; and

determining a sleep state of the user based on a result of the comparison.

20. The sleep state determination method according to claim 19, wherein the sleep state of the user is determined to be one of a non-sleep state, a REM sleep state, and a NREM sleep state based on the result of the comparison. (0)

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Application US20180353125

METHOD AND APPARATUS FOR DETERMINING SLEEP STATE USING BIOMETRIC INFORMATION AND MOTION INFORMATION

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