OPTICAL RESPIRATION RATE DETECTION DEVICE AND DETECTION METHOD THEREOF

• US 20160345862A1
• Filed: 04/19/2016
• Published: 12/01/2016
• Est. Priority Date: 06/01/2015
• Status: Abandoned Application

• Current Assignee: PixArt Imaging Incorporated
• Original Assignee: PixArt Imaging Incorporated
• Inventors: LI, Ming-Chang
• Application Number:
  US15/132,389
• Publication Number:
  US 20160345862A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2560/0223 of calibration, e.g. protocols for calibrating sensors
• CPC Class Codes: A61B 5/0077 Devices for viewing the surface of the body, e.g. camera, magnifying lens
• CPC Class Codes: A61B 5/02433 for infrared radiation
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/7203 for noise prevention, reduction or removal
• CPC Class Codes: A61B 5/7257 using Fourier transforms
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

A respiration rate detection device including a light source, an optical sensing unit and a processing unit is provided. The light source is configured to provide light to illuminate a skin region. The optical sensing unit is configured to detect emergent light from the skin region and output an intensity variation signal. The processing unit is configured to convert the intensity variation signal to frequency domain data and calculate a respiration rate according to the frequency domain data using at least one respiration algorithm.

Claims

1. A respiration rate detection device comprising:

a light source configured to provide light to illuminate a skin region;

an optical sensing unit configured to detect emergent light from the skin region and output an intensity variation signal; and

a processing unit configured to

convert the intensity variation signal to frequency domain data,

categorize the frequency domain data as one of a plurality of frequency zones according to predetermined categorization data, and

calculate a respiration rate according to the frequency domain data within the categorized frequency zone.

2. The respiration rate detection device as claimed in claim 1, wherein the predetermined categorization data is previously built up by a machine learning algorithm.

3. The respiration rate detection device as claimed in claim 1, wherein an illumination wavelength of the light source is between 300 nm and 940 nm.

4. The respiration rate detection device as claimed in claim 1, wherein the processing unit is configured to distinguish two frequency zones with an isolation frequency, and the isolation frequency is between 0.15 Hz and 0.25 Hz.

5. The respiration rate detection device as claimed in claim 1, wherein the processing unit is configured to ignore the frequency domain data outside the categorized frequency zone.

6. The respiration rate detection device as claimed in claim 1, wherein the processing unit is configured to identify a frequency corresponding to a maximum spectral amplitude in the categorized frequency zone as the respiration rate.

7. The respiration rate detection device as claimed in claim 1, wherein

the optical sensing unit comprises a pixel array,

each pixel of the pixel array is configured to output an intensity signal within a frame, and

the processing unit is further configured to calculate a sum of the intensity signals of a plurality of pixels of the frame.

8. A respiration rate detection device comprising:

a light source configured to provide light to illuminate a skin region;

an optical sensing unit configured to detect emergent light from the skin region and output an intensity variation signal; and

a processing unit configured to

convert the intensity variation signal to frequency domain data,

determine a set of weightings and a set of respiration rate calculation algorithms according to a signal feature of the frequency domain data, and

calculate a respiration rate according to the set of weightings and the set of respiration rate calculation algorithms.

9. The respiration rate detection device as claimed in claim 8, wherein the signal feature is a signal to noise ratio, and the signal to noise ratio is a ratio of a maximum spectral amplitude with respect to a sum of other spectral amplitudes of the frequency domain data.

10. The respiration rate detection device as claimed in claim 8, wherein a relationship of a plurality of signal features with respect to a plurality of weightings is previously formed as a look-up table.

11. The respiration rate detection device in claim 8, wherein an illumination wavelength of the light source is between 300 nm and 940 nm.

12. The respiration rate detection device as claimed in claim 8, wherein

the optical sensing unit comprises a pixel array,

each pixel of the pixel array is configured to output an intensity signal within a frame, and

the processing unit is further configured to calculate a sum of the intensity signals of a plurality of pixels of the frame.

13. The respiration rate detection device as claimed in claim 8, wherein the processing unit is built in with a plurality of respiration rate calculation algorithms, and each of the set of respiration rate calculation algorithms is configured to respectively calculate a respiration rate component according to the intensity variation signal.

14. The respiration rate detection device as claimed in claim 13, wherein the respiration rate is a sum of products of each of the set of weightings and the respiration rate component obtained by the corresponded respiration rate calculation algorithm among the set of respiration rate calculation algorithms.

15. The respiration rate detection device as claimed in claim 8, wherein the processing unit is built in with a plurality of respiration rate calculation algorithms, and the set of respiration rate calculation algorithms includes at least one of the plurality of respiration rate calculation algorithms.

16. An respiration rate detection method comprising:

providing, by a light source, light to illuminate a skin region;

detecting, by an optical sensing unit, emergent light from the skin region and outputting an intensity variation signal;

converting the intensity variation signal to frequency domain data;

calculating a signal to noise ratio of the frequency domain data;

determining a set of weightings and a set of respiration rate calculation algorithms according to the signal to noise ratio; and

calculating a respiration rate according to the set of weightings and the set of respiration rate calculation algorithms.

17. The respiration rate detection method as claimed in claim 16, wherein the calculating the signal to noise ratio comprises:

determining a main frequency within the frequency domain data; and

calculating a ratio of a spectral amplitude of the main frequency with respect to a sum of other spectral amplitudes within the frequency domain data as the signal to noise ratio.

18. The respiration rate detection method as claimed in claim 16, wherein the determining comprises:

comparing the signal to noise ratio with a look-up table to determine the set of weightings and the set of respiration rate calculation algorithms.

19. The respiration rate detection method as claimed in claim 16, further comprising:

calculating a respiration rate component according to the intensity variation signal by each of the set of respiration rate calculation algorithms; and

calculating a sum of products of each of the set of weightings and the respiration rate component obtained by the corresponded respiration rate calculation algorithm among the set of respiration rate calculation algorithms.

20. The respiration rate detection method as claimed in claim 16, wherein the optical sensing unit comprises a pixel array and each pixel of the pixel array outputs an intensity signal with a frame, and the respiration rate detection method further comprises:

calculating a sum of the intensity signals of a plurality of pixels of the frame.