Wearable LED Sensor Device Configured to Identify a Wearer's Pulse

• US 20170049404A1
• Filed: 07/27/2016
• Published: 02/23/2017
• Est. Priority Date: 08/19/2015
• Status: Abandoned Application

• Current Assignee: Amiigo, Inc.
• Original Assignee: Amiigo, Inc.
• Inventors: Sontakey, Sameer, Azarnasab, Ehsan, Carter, Abraham, Scott, David
• Application Number:
  US15/221,445
• Publication Number:
  US 20170049404A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/02433 for infrared radiation
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/725 using specific filters therefor, e.g. Kalman or adaptive filters A61B5/316 take precedence
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence
• CPC Class Codes: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence

Abstract

A wearable sensor device can include at least one LED and a light sensor for generating a photoplethysmogram (“PPG”) from light emitted by the at least one LED. The wearable sensor device can also include a processing unit that is configured to process the PPG to produce a highly reliable representation of the wearer'"'"'s pulse.

Claims

1. A wearable sensor device comprising:

a housing configured to allow the wearable sensor device to be worn on a portion of the body; and

a circuit comprising;

a first LED secured to the housing in a manner that causes the first LED to face the portion of the body when the wearable sensor device is worn;

a light sensor secured to the housing, the light sensor being positioned to receive light that is transmitted from the first LED and reflected from or transmitted through the portion of the body, the light sensor being configured to generate a photoplethysmogram (“

PPG”

) representing the amount of light that is received by the light sensor over time;

a processing unit configured to receive the PPG and to process the PPG, the processing of the PPG including;

identifying peaks in the PPG;

identifying valleys in the PPG;

using the valleys to generate a base of the PPG; and

subtracting the base from the PPG to yield beat data; and

a storage for storing the beat data.

2. The wearable sensor device of claim 1, wherein the step of identifying peaks in the PPG comprises using wavelets to identify the peaks.

3. The wearable sensor device of claim 1, wherein the step of identifying valleys in the PPG comprises identifying a minimum value in the PPG between each adjacent set of peaks.

4. The wearable sensor device of claim 1, wherein the base is generated from the valleys using a three-degree polynomial.

5. The wearable sensor device of claim 1, wherein the processing of the PPG further includes:

using the peaks to generate a hat of the PPG.

6. The wearable sensor device of claim 5, wherein the hat is generated from the peaks using a three-degree polynomial.

7. The wearable sensor device of claim 5, wherein the processing of the PPG further includes:

subtracting the base from the hat then dividing by the base to yield a result representing oxygen saturation.

8. The wearable sensor device of claim 5, wherein the processing of the PPG further includes:

identifying a recurring pattern in the base and the hat, the recurring pattern representing the occurrence of a breath.

9. The wearable sensor device of claim 7, further comprising:

generating a beats per minute value or a pulse pressure value; and

validating one or more of peaks or valleys in the result using the beats per minute value or the pulse pressure value.

10. The wearable sensor device of claim 1, wherein the processing of the PPG further includes:

applying Kalman smoothing to the beat data; and

de-trending the beat data.

11. The wearable sensor device of claim 1, wherein the processing of the PPG further includes:

storing individual beats of the beat data.

12. The wearable sensor device of claim 11, wherein each individual beat includes values identifying a number of beat model parameters for the individual beat.

13. The wearable sensor device of claim 1, wherein the circuit further comprises:

a second LED secured to the housing in a manner that causes the second LED to face the portion of the body when the wearable sensor device is worn;

wherein the light sensor being positioned to receive light that is transmitted from the second LED and reflected from or transmitted through the portion of the body, the light sensor being configured to generate a second PPG representing the amount of light from the second LED that is received by the light sensor over time;

wherein the processing unit is configured to receive the second PPG and to process the second PPG, the processing of the second PPG including;

identifying peaks in the second PPG;

identifying valleys in the second PPG;

using the valleys in the second PPG to generate a base of the second PPG; and

subtracting the base of the second PPG from the second PPG to yield second beat data; and

wherein the storage stores the second beat data.

14. The wearable sensor device of claim 13, wherein the first LED is a red LED and the second LED is an infrared LED.

15. The wearable sensor device of claim 14, further comprising:

generating a value representing oxygen saturation using the base and hat of the PPG and the base and hat of the second PPG.

16. The wearable sensor device of claim 14, further comprising:

generating a value representing breathing using the base and hat of the PPG and the base and hat of the second PPG, and using the value to compute beats per minute and pulse pressure variations.

17. The wearable sensor device of claim 1, wherein the processing of the PPG further includes:

comparing the peaks or valleys to a known model of the human pulse; and

discarding a portion of the PPG corresponding to a peak or valley based on the comparison.

18. A method, performed by a wearable sensor device that includes an LED and a light sensor that generates a photoplethysmogram (“

PPG”

) from light emitted from the LED, for generating beat data from the PPG, the method comprising;

receiving the PPG at a processing unit of the wearable sensor device;

identifying peaks in the PPG;

identifying valleys in the PPG;

using the valleys to generate a base of the PPG;

subtracting the base from the PPG to yield the beat data; and

storing the beat data in a storage of the wearable sensor device.

19. The method of claim 18, wherein identifying peaks in the PPG comprises using wavelets to identify the peaks.

20. The method of claim 18, further comprising:

using the peaks to generate a hat of the PPG.

21. The method of claim 18, further comprising:

subtracting the base from the hat then dividing by the base to yield a result representing oxygen saturation.

22. The method of claim 18, further comprising:

identifying a recurring pattern in the base and the hat, the recurring pattern representing the occurrence of a breath.

23. The method of claim 18, wherein storing the beat data comprises:

storing individual beats of the beat data, each individual beat including values identifying a number of beat model parameters for the individual beat.

24. A method for acquiring heartbeat information to perform differential diagnosis of heart disease;

comprising;

attaching a wearable sensing device to a user, the sensing device having an LED and a light sensor;

generating a photoplethysmogram (PPG) from light emitted from the LED; and

deriving beat data from the PPG to perform differential diagnosis of heart disease by distinguishing between conditions such as hypertrophy, cardiomyopathy, aortic stenosis, hypertension, arrhythmia and low perfusion and to derive left ventricle ejection time.