WAKEFUL-STATE DATA GENERATING APPARATUS AND WAKEFULNESS DEGREE DETERMINING APPARATUS

• US 20120197091A1
• Filed: 01/04/2012
• Published: 08/02/2012
• Est. Priority Date: 01/27/2011
• Status: Active Grant

• Current Assignee: Fujitsu Limited
• Original Assignee: Fujitsu Limited
• Inventors: NAKANO, Yasuhiko
• Granted Patent: US 8,768,442 B2
• Time in Patent Office: Days
• US Class Current: 600/301
• CPC Class Codes: A61B 5/0245 by using sensing means generating electric signals, i.e. ECG signals
• CPC Class Codes: A61B 5/364 Detecting abnormal ECG interval, e.g. extrasystoles, ectopic heartbeats

Abstract

A wakeful-state data generating apparatus includes at least one processor and at least one storage device, the at least one storage device configured to; store a first correlation between value of variation in heartbeat interval and maximum spectral density, and store a second correlation between heartbeat rate and wakeful-state maximum frequency, the at least one processor configured to; calculate a value of variation in heartbeat interval from a heartbeat signal of a subject, estimate a wakeful-state maximum spectral density of the subject, on the basis of the first correlation and the calculated value of variation, calculate a heartbeat rate from the heartbeat signal, estimate a wakeful-state maximum frequency of the subject, on the basis of the second correlation and the calculated heartbeat rate, and generate wakeful-state data including the estimated wakeful-state maximum spectral density and the estimated wakeful-state maximum frequency.

Claims

1. A wakeful-state data generating apparatus comprising:

at least one processor and at least one storage device,

the at least one storage device configured to;

store a first correlation between value of variation in heartbeat interval and maximum spectral density, and

store a second correlation between heartbeat rate and wakeful-state maximum frequency,

the at least one processor configured to;

calculate a value of variation in heartbeat interval from a heartbeat signal of a subject,

estimate a wakeful-state maximum spectral density of the subject, on the basis of the first correlation and the calculated value of variation,

calculate a heartbeat rate from the heartbeat signal,

estimate a wakeful-state maximum frequency of the subject, on the basis of the second correlation and the calculated heartbeat rate, and

generate wakeful-state data including the estimated wakeful-state maximum spectral density and the estimated wakeful-state maximum frequency.

2. The wakeful-state data generating apparatus according to claim 1, wherein the at least one processor calculates respiratory sinus arrhythmia as the value of variation in heartbeat interval.

3. The wakeful-state data generating apparatus according to claim 1, wherein in estimating the wakeful-state maximum frequency, the at least one processor

calculates a respiration rate of the subject on the basis of the calculated heartbeat rate, and

estimates the wakeful-state maximum frequency on the basis of the respiration rate and the second correlation.

4. The wakeful-state data generating apparatus according to claim 1, further comprising:

a detecting device that acquires the heartbeat signal of the subject,

wherein the at least one processor acquires the heartbeat signal from the detecting device.

5. A wakeful-state data generating apparatus comprising:

a first calculating unit that calculates a value of variation in heartbeat interval from a heartbeat signal of a subject;

a first estimating unit that estimates a wakeful-state maximum spectral density of the subject from the value of variation calculated by the first calculating unit, on the basis of a pre-recorded correlation between value of variation and wakeful-state maximum spectral density;

a second calculating unit that calculates a heartbeat rate from the heartbeat signal;

a second estimating unit that estimates a wakeful-state maximum frequency of the subject from the heartbeat rate calculated by the second calculating unit, on the basis of a pre-recorded correlation between heartbeat rate and wakeful-state maximum frequency; and

a generating unit that generates wakeful-state data including the wakeful-state maximum spectral density estimated by the first estimating unit, and the wakeful-state maximum frequency estimated by the second estimating unit.

6. The wakeful-state data generating apparatus according to claim 5, wherein the first calculating unit calculates respiratory sinus arrhythmia as the value of variation.

7. The wakeful-state data generating apparatus according to claim 5, wherein the second estimating unit

calculates a respiration rate of the subject on the basis of the calculated heart rate, and

estimates the wakeful-state maximum frequency on the basis of the respiration rate and the correlation between heartbeat rate and wakeful-state maximum frequency.

8. The wakeful-state data generating apparatus according to claim 5, further comprising a detecting unit that acquires the heartbeat signal of the subject.

9. A wakefulness degree determining apparatus comprising:

at least one processor and at least one storage device,

the at least one storage device configured to;

store a first correlation between value of variation in heartbeat interval and maximum spectral density,

store a second correlation between heartbeat rate and wakeful-state maximum frequency,

store a third correlation between wakeful-state maximum spectral density and non-wakeful-state maximum spectral density, and

store a fourth correlation between wakeful-state maximum frequency and non-wakeful-state maximum frequency, and

the at least one processor configured to;

calculate a value of variation in heartbeat interval from a heartbeat signal of a subject,

estimate a wakeful-state maximum spectral density of the subject, on the basis of the first correlation and the calculated value of variation,

calculate a heartbeat rate from the heartbeat signal,

estimate a wakeful-state maximum frequency of the subject, on the basis of the second correlation and the calculated heartbeat rate,

generate wakeful-state data including the wakeful-state maximum spectral density and the wakeful-state maximum frequency,

estimate a non-wakeful-state maximum spectral density of the subject from the estimated wakeful-state maximum spectral density, on the basis of the third correlation,

estimate a non-wakeful-state maximum frequency of the subject from the estimated wakeful-state maximum frequency, on the basis of the fourth correlation,

generate non-wakeful-state data including the non-wakeful-state maximum spectral density and the non-wakeful-state maximum frequency, and

generate an index of wakefulness degree related to determination of a degree of wakefulness, by using the wakeful-state data and the non-wakeful-state data.

10. The wakefulness degree determining apparatus according to claim 9, the at least one processor further configured to;

calculate, upon each detection of a heartbeat signal of the subject, a new maximum frequency and a new maximum spectral density from the heartbeat signal, and

determine a degree of wakefulness of the subject, by comparing the new maximum frequency and the new maximum spectral density with the index of wakefulness degree.

11. The wakefulness degree determining apparatus according to claim 10, wherein in determining the degree of wakefulness, the at least one processor determines that the lower the new maximum frequency and the higher the new maximum spectral density, the smaller the degree of wakefulness of the subject.

12. The wakefulness degree determining apparatus according to claim 9, wherein in generating the index, the at least one processor generates the index according to a magnitude of a value varying from the non-wakeful-state maximum spectral density to the wakeful-state maximum spectral density, and a magnitude of a value varying from the non-wakeful-state maximum frequency to the wakeful-state maximum frequency.

13. The wakefulness degree determining apparatus according to claim 9, wherein the at least one processor calculates respiratory sinus arrhythmia as the value of variation in heartbeat interval.

14. The wakefulness degree determining apparatus according to claim 9, wherein in estimating the wakeful-state maximum frequency, the at least one processor

calculates a respiration rate of the subject on the basis of the calculated heartbeat rate, and

estimates the wakeful-state maximum frequency on the basis of the respiration rate and the second correlation.

15. A wakefulness degree determining apparatus comprising:

a first calculating unit that calculates a value of variation in heartbeat interval from a heartbeat signal of a subject;

a first estimating unit that estimates a wakeful-state maximum spectral density of the subject from the value of variation calculated by the first calculating unit, on the basis of a pre-recorded correlation between value of variation and wakeful-state maximum spectral density;

a second calculating unit that calculates a heartbeat rate from the heartbeat signal;

a second estimating unit that estimates a wakeful-state maximum frequency of the subject from the heartbeat rate calculated by the second calculating unit, on the basis of a pre-recorded correlation between heartbeat rate and wakeful-state maximum frequency;

a first generating unit that generates wakeful-state data including the wakeful-state maximum spectral density estimated by the first estimating unit, and the wakeful-state maximum frequency estimated by the second estimating unit;

a third estimating unit that estimates a non-wakeful-state maximum spectral density of the subject from the wakeful-state maximum spectral density estimated by the first estimating unit, on the basis of a pre-recorded correlation between wakeful-state maximum spectral density and non-wakeful-state maximum spectral density;

a fourth estimating unit that estimates a non-wakeful-state maximum frequency of the subject from the wakeful-state maximum frequency estimated by the second estimating unit, on the basis of a pre-recorded correlation between wakeful-state maximum frequency and non-wakeful-state maximum frequency;

a second generating unit that generates non-wakeful-state data including the non-wakeful-state maximum spectral density estimated by the third estimating unit, and the non-wakeful-state maximum frequency estimated by the fourth estimating unit; and

a scale generating unit that generates an index of wakefulness degree, by using the wakeful-state data generated by the first generating unit and the non-wakeful-state data generated by the second generating unit.

16. The wakefulness degree determining apparatus according to claim 15, further comprising:

a computing unit that calculates, upon each detection of a heartbeat signal of the subject, a new maximum frequency and a new maximum spectral density from the heartbeat signal; and

a determining unit that determines a degree of wakefulness of the subject, by comparing the new maximum frequency and the new maximum spectral density with the index of wakefulness degree generated by the scale generating unit.

17. The wakefulness degree determining apparatus according to claim 16, wherein the determining unit determines that the lower the new maximum frequency and the higher the new maximum spectral density, the smaller the degree of wakefulness of the subject.

18. The wakefulness degree determining apparatus according to claim 15, wherein the scale generating unit generates the index according to a magnitude of a value ranging from the non-wakeful-state maximum spectral density to the wakeful-state maximum spectral density, and a magnitude of a value ranging from the non-wakeful-state maximum frequency to the wakeful-state maximum frequency.

19. The wakefulness degree determining apparatus according to claim 15, wherein the first calculating unit calculates respiratory sinus arrhythmia as the value of variation in heartbeat interval.

20. The wakefulness degree determining apparatus according to claim 15, wherein the second estimating unit

calculates a respiration rate of the subject on the basis of the calculated heartbeat rate, and

estimates the wakeful-state maximum frequency on the basis of the respiration rate and the correlation between heart rate and wakeful-state maximum frequency.