METHOD AND SYSTEM OF SLEEP DETECTION

• US 20150289803A1
• Filed: 07/31/2014
• Published: 10/15/2015
• Est. Priority Date: 04/14/2014
• Status: Abandoned Application

• Current Assignee: Quanta Computer
• Original Assignee: Quanta Computer
• Inventors: Wu, Yu-Min, Chung, Yung-Ming, Wang, Yu-Siang
• Application Number:
  US14/447,741
• Publication Number:
  US 20150289803A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/4809 Sleep detection, i.e. determining whether a subject is asleep or not
• CPC Class Codes: A61B 5/4812 Detecting sleep stages or cycles
• CPC Class Codes: A61B 5/4818 Sleep apnoea
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: A61B 5/6823 Trunk, e.g., chest, back, abdomen, hip
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence

Abstract

A sleep detection system and method are provided. In the sleep detection system, a sensor device is configured to measure a heart rate of a user; a measuring device is configured to receive the heart rate, and measure an activity level of the user and calculate an energy-expenditure value according to the heart rate, the activity level and personal parameters of the user; and a receiving device is configured to receive the energy-expenditure value from the measuring device and generate a sleep analysis result according to the energy-expenditure and to display the sleep analysis result.

Claims

1. A sleep detection system, comprising:

a sensor device, configured to measure a heart rate of a user;

a measuring device, configured to receive the heart rate, and measure an activity level of the user and calculate an energy-expenditure value according to the heart rate, the activity level and personal parameters of the user; and

a receiving device, configured to receive the energy-expenditure value from the measuring device and generate a sleep analysis result according to the energy-expenditure and to display the sleep analysis result.

2. The sleep detection system of claim 1, wherein the sensor device has one or a plurality of measuring electrodes to measure the heart rate.

3. The sleep detection system of claim 1, wherein the measuring device comprises:

a heart-rate calculating module, configured to calculate a difference value between the heart rate and a preset heart rate;

an activity level calculating module, configured to detect activity events of the user and calculate the activity level of the user according to the detected activity events by a first algorithm;

a storage module, configured to store the personal parameters;

an energy-expenditure calculating module, configured to calculate the energy-expenditure value according to the difference value, the activity level and the personal parameters by a second algorithm; and

a transmitting module, configured to transmit the energy-expenditure value to the receiving device by a wireless-communication transmission technology.

4. The sleep detection system of claim 3, wherein the activity events include the number of times the user turns over, the number of times the user moves, the number of times the user'"'"'s chest shakes.

5. The sleep detection system of claim 3, wherein personal parameters include the weight, height, and sex of the user.

6. The sleep detection system of claim 3, wherein the second algorithm includes calculating an energy-expenditure intensity by determining whether the activity level is higher than a first threshold value, and whether the difference value is higher than a second threshold value and multiplying the energy-expenditure intensity by the weight of the user to generate the energy-expenditure value.

7. The sleep detection system of claim 6, wherein the second threshold value may include a plurality of judgment ranges.

8. The sleep detection system of claim 3, wherein the receiving device comprises:

a receiving module, configured to receive the energy-expenditure value by the wireless-communication transmission technology;

an analysis module, configured to analyze the energy-expenditure value to generate the sleep analysis result; and

a display module, configured to display the sleep analysis result.

9. The sleep detection system of claim 8, wherein the analysis module may divide a sleep process of the user into different stages according to the energy-expenditure value.

10. The sleep detection system of claim 8, wherein the sleep analysis result includes a sleep period, respiratory events and sleep status.

11. The sleep detection system of claim 1, wherein the measuring device is placed on the center of the user'"'"'s chest.

12. A sleep detection method for a sleep detection system, comprising:

measuring a heart rate of a user;

measuring an activity level of the user;

calculating an energy-expenditure value according to the heart rate, the activity level and personal parameters of the user;

generating a sleep analysis result according to the energy-expenditure; and

displaying the sleep analysis result.

13. The sleep detection method of claim 12, further comprising:

calculating a difference value between the heart rate and a preset heart rate;

detecting activity events of the user and calculating the activity level of the user according to the detected activity events by a first algorithm; and

a storage module, configured to store the personal parameters; and

calculate the energy-expenditure value by a second algorithm.

14. The sleep detection method of claim 13, wherein the activity events include the number of times the user turns over, the number of times the user moves, the number of times the user'"'"'s chest shakes.

15. The sleep detection method of claim 13, wherein personal parameters include the weight, height, and sex of the user.

16. The sleep detection method of claim 13, further comprising:

determining whether the activity level is higher than a first threshold value, and whether the difference value is higher than a second threshold value to calculate an energy-expenditure intensity; and

multiplying the energy-expenditure intensity by the weight of the user to generate the energy-expenditure value.

17. The sleep detection method of claim 16, wherein the second threshold value may include a plurality of judgment ranges.

18. The sleep detection method of claim 12, further comprising:

dividing a sleep process of the user into different stages according to the energy-expenditure value.

19. The sleep detection method of claim 12, wherein the sleep analysis result includes a sleep period, respiratory events and sleep status.