METHOD AND DEVICE FOR DETERMINING SLEEPING PATTERN, AND COMPUTER READABLE STORAGE MEDIUM RECORDING THE METHOD

• US 20150087930A1
• Filed: 09/23/2014
• Published: 03/26/2015
• Est. Priority Date: 09/23/2013
• Status: Abandoned Application

• Current Assignee: Samsung Electronics Co. Ltd., Seoul National University R&DB Foundation (Seoul National University)
• Original Assignee: Samsung Electronics Co. Ltd., Seoul National University R&DB Foundation (Seoul National University)
• Inventors: CHO, Jae-geol, CHOI, Byung-hun, PARK, Kwang-suk, YOON, Hee-nam, HWANG, Su-hwan
• Application Number:
  US14/493,806
• Publication Number:
  US 20150087930A1
• Time in Patent Office: Days
• US Class Current: 600/301
• CPC Class Codes: A61B 5/0803 Recording apparatus specially adapted therefor
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/113 occurring during breathing
• CPC Class Codes: A61B 5/4818 Sleep apnoea
• CPC Class Codes: A61B 5/6892 Mats
• CPC Class Codes: A61B 5/7271 Specific aspects of physiological measurement analysis A61B5/316, A61B5/349 and A61B5/374 take precedence

Abstract

A method and apparatus for measuring a first bio-signal from a user in an unrestrictive manner are provided. The method includes extracting a second bio-signal including a motion signal and a respiration signal, based on the first bio-signal; determining an apnea measurement reference signal including a respiration measurement signal and a motion measurement signal, based on the second bio-signal; dividing the apnea measurement reference signal by a first time interval to generate a first evaluation signal, and dividing the first evaluation signal by a second time interval, that is smaller than the first time interval, to generate second evaluation signals; calculating standard deviation information based on the second evaluation signals; and determining a sleeping pattern for the second time intervals corresponding to the second evaluation signals, based on the standard deviation information.

Claims

1. A method of determining a sleeping pattern, the method comprising:

measuring a first bio-signal from a user in an unrestrictive manner;

extracting a second bio-signal including a motion signal and a respiration signal, based on the first bio-signal;

determining an apnea measurement reference signal including a respiration measurement signal and a motion measurement signal, based on the second bio-signal;

generating a first evaluation signal based on the apnea measurement reference signal and a first time interval, and generating a plurality of second evaluation signals by dividing the first evaluation signal by a second time interval, that is smaller than the first time interval;

calculating standard deviation information based on the second evaluation signals; and

determining a sleeping pattern for the second time interval corresponding to the second evaluation signals, based on the standard deviation information, the sleeping pattern comprising at least one of a motion estimation section, an apnea estimation section, and a normal respiration estimation section.

2. The method of claim 1, wherein the determining the apnea measurement reference signal comprises:

filtering the second bio-signal using a low-pass filter; and

determining the respiration measurement signal by analyzing principle components of the filtered signal, and determining the motion measurement signal by analyzing principle components of the second bio-signal.

3. The method of claim 1, wherein the generating the second evaluation signals comprises generating a plurality of second motion evaluation signals by dividing a first motion evaluation signal included in the first evaluation signal by the second time interval, and generating a plurality of second respiration evaluation signals by dividing a first respiration evaluation signal included in the first evaluation signal by the second time interval.

4. The method of claim 3, wherein the calculating the standard deviation information comprises:

calculating standard deviations of the plurality of second motion evaluation signals and the plurality of second respiration evaluation signals, respectively; and

calculating an average of the standard deviations of the plurality of second respiration evaluation signals, except for a maximum standard deviation of the plurality of second respiration evaluation signals.

5. The method of claim 4, wherein the determining the sleeping pattern for the second time interval corresponding to the second evaluation signals comprises:

determining the second time interval corresponding to the second evaluation signals to be the motion estimation section when the standard deviations of the second motion evaluation signals are equal to or greater than a specific value or when the standard deviations of the second respiration evaluation signals are equal to or greater than the average of the standard deviations of the second respiration evaluation signals;

determining the second time interval corresponding to the second evaluation signals to be the apnea estimation section when the second time interval is not the motion estimation section and when the standard deviations of the second respiration evaluation signals are less than or equal to a product of the average of the standard deviations of the second respiration evaluation signals and ‘

k’

, where k is a real number satisfying 0<

k<

1; and

determining the second time interval corresponding to the second evaluation signals to be the normal respiration estimation section when the second interval time is neither the motion estimation section nor the apnea estimation section.

6. The method of claim 1, further comprising determining the first time interval corresponding to the first evaluation signal to be a section in which sleep apnea occurs in response to at least one o second time interval of the first evaluation signal being determined to be the apnea estimation section.

7. The method of claim 1, wherein, when a minimum interval between the second evaluation signals determined to be the apnea estimation sections is less than the second time interval, the method further comprises determining that apnea lasts for the minimum interval.

8. The method of claim 1, wherein the generating of the plurality of second evaluation signals for the first evaluation signal comprises generating the plurality of second evaluation signals to overlap with each other.

9. The method of claim 1, wherein the first bio-signal is measured based on a polyvinylidene difluoride (PVDF)-based sensor that comprises piezoelectric characteristics.

10. The method of claim 1, wherein the standard deviation information comprises standard deviations of the second motion evaluation signals and an average standard deviation of second respiration evaluation signals included in the second evaluation signals of the first evaluation signal.

11. The method of claim 1, wherein the apnea reference signal is divided by the first interval to generate a plurality of first evaluation signals, and each of the divided first evaluations signals is divided by the second interval to generate a plurality of second evaluation signals for each first evaluation signal.

12. A device for determining a sleeping pattern, the device comprising:

a signal measuring sensor configured to measure a first bio-signal from a user in an unrestrictive manner;

a bio-signal extractor configured to extract a second bio-signal including a motion signal and a respiration signal, based on the first bio-signal;

a reference signal determiner configured to determine an apnea measurement reference signal including a respiration measurement signal and a motion measurement signal, based on the second bio-signal;

an evaluation signal generator configured to generate a first evaluation signal based on the apnea measurement reference and a first time interval, and generate a plurality of second evaluation signals by dividing the first evaluation signal by a second time interval, that is smaller than the first time interval;

a standard deviation information calculator configured to calculate standard deviation information based on the second evaluation signals; and

a sleeping pattern determiner configured to determine a sleeping pattern for the second time interval corresponding to the second evaluation signals, based on the standard deviation information, the sleeping pattern comprising at least one of a motion estimation section, an apnea estimation section, and a normal respiration estimation section.

13. The device of claim 12, wherein the reference signal determiner comprises:

a low-pass filter configured to filter the second bio-signal; and

a principle component analyzer configured to determine the respiration measurement signal by analyzing principle components of the filtered signal, and determine the motion measurement signal by analyzing principle components of the second bio-signal.

14. The device of claim 12, wherein the evaluation signal generator comprises:

a first time divider configured to generate a first motion evaluation signal included in the first evaluation signal by dividing the motion measurement signal by a first time interval, and generate a first respiration evaluation signal included in the first evaluation signal by dividing the respiration measurement signal by the first time interval; and

a second time divider configured to generate a plurality of second motion evaluation signals by dividing the first motion evaluation signal by a second time interval, and generate a plurality of second respiration evaluation signals by dividing the first respiration evaluation signal by the second time interval.

15. The device of claim 12, wherein the standard deviation information calculator is configured to calculate standard deviations of the plurality of second motion evaluation signals and the plurality of second respiration evaluation signals, respectively, and calculate an average of the standard deviations of the plurality of second respiration evaluation signals, except for a maximum standard deviation of the plurality of second respiration evaluation signals.

16. The device of claim 15, wherein the sleeping pattern determiner is configured to:

determine the second time interval corresponding to the second evaluation signals to be the motion estimation section when the standard deviations of the second motion evaluation signals are equal to or greater than a specific value or when the standard deviations of the second respiration evaluation signals are equal to or greater than the average of the standard deviations of the second respiration evaluation signals;

determine the sleeping pattern for the second time interval corresponding to the second evaluation signals to be the apnea estimation section when the sleeping pattern is not the motion estimation section and when the standard deviations of the second respiration evaluation signals are less than or equal to a product of the average of the standard deviations of the second respiration evaluation signals and ‘

k’

, where k is a real number satisfying 0<

k<

1; and

determine the sleeping pattern for the second time interval corresponding to the second evaluation signals to be the normal respiration estimation section when the sleeping pattern is neither the motion estimation section nor the apnea estimation section.

17. The device of claim 12, further comprising an apnea generation determiner configured to determine the first time interval corresponding to the first evaluation signal to be a section in which apnea occurs when at least one apnea estimation section is present in a second time interval of the first evaluation signal.

18. The device of claim 12, wherein, when a minimum interval between apnea estimation sections determined for the first time interval is equal to the second time interval, the sleeping pattern determiner determines the minimum interval to be the apnea estimation section.

19. The device of claim 12, wherein the evaluation signal generator is configured to generate the plurality of second evaluation signals to overlap with each other.

20. The device of claim 12, wherein the signal measuring sensor comprises a polyvinylidene difluoride (PVDF)-based sensor that comprises piezoelectric characteristics.

21. The device of claim 12, wherein the standard deviation information comprises standard deviations of the second motion evaluation signals and an average standard deviation of second respiration evaluation signals included in the second evaluation signals of the first evaluation signal.

22. A non-transitory computer-readable medium having recorded thereon a computer program that is executable by a computer to perform the method of claim 12.

23. An apparatus for determining sleep apnea occurring in a user, the apparatus comprising:

a signal measuring sensor configured to detect bio-signals from a user while the user sleeps, and comprising a polyvinylidene difluoride (PVDF)-based sensor including piezoelectric characteristics; and

a controller configured to determine sleep apnea occurring in the user based on the bio-signals detected by the signal measuring sensor.

24. The apparatus of claim 23, wherein the signal measuring sensor is configured to be installed in a space between a back of the user and a bed mattress.

25. The apparatus of claim 23, wherein the signal measuring sensor comprises a thickness of 0.1 mm or less.