R-R interval measurement using multi-rate ECG processing

• US 9,814,405 B2
• Filed: 09/07/2012
• Issued: 11/14/2017
• Est. Priority Date: 09/07/2012
• Status: Active Grant

• Current Assignee: Vital Connect, Inc.
• Original Assignee: Vital Connect, Inc.
• Inventors: Yang, Yun, Narasimhan, Ravi, Ferdosi, Nima
• Primary Examiner(s): MALAMUD, DEBORAH LESLIE
• Application Number:
  US13/607,160
• Publication Number:
  US 20140073982A1
• Time in Patent Office: 1,894 Days
• CPC Class Codes: A61B 2560/0209 adapted for power saving
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/346 Analysis of electrocardiograms
• CPC Class Codes: A61B 5/352 Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval
• CPC Class Codes: A61B 5/7232 involving compression of the physiological signal, e.g. to extend the signal recording period

Abstract

A method and system for R-R interval measurement of a user are disclosed. In a first aspect, the method comprises detecting an electrocardiogram (ECG) signal of the user. The method includes performing QRS peak detection on the ECG signal to obtain a low resolution peak and searching near the low resolution peak for a high resolution peak. The method includes calculating the R-R interval measurement based upon the high resolution peak. In a second aspect, a wireless sensor device comprises a processor and a memory device coupled to the processor, wherein the memory device includes an application that, when executed by the processor, causes the processor to carry out the steps of the method.

Claims

1. A device-implemented method for R-R interval measurement of a user, the method comprising:

detecting, using the device, an electrocardiogram (ECG) signal of the user;

performing, using the device, QRS peak detection on the ECG signal to obtain a low resolution peak;

searching, using the device, proximate the low resolution peak for a high resolution peak by scanning a range of ECG sample points that span to the left and to the right of the low resolution peak; and

calculating, using the device, the R-R interval measurement based upon the high resolution peak,

wherein the device comprises a wireless sensor device comprising a processor and a memory device coupled to the processor, and wherein the memory device comprises executable instruction.

2. The device-implemented method of claim 1, wherein the detecting is at a high sampling rate, further comprising:

filtering, using the device, the ECG signal using an anti-aliasing filter;

converting, using the device, the ECG signal from an analog domain to a digital domain using an analog-to-digital converter (ADC);

filtering, using the device, the digital ECG signal using a band-pass filter;

down-sampling, using the device, the digital ECG signal at a low sampling rate;

processing, using the device, at least one ECG sample of the digital ECG signal using a digital signal processing (DSP) algorithm to detect a peak of the down-sampled ECG signal; and

searching, using the device, near the peak of the down-sampled ECG signal at the high sampling rate for the high resolution peak.

3. The device-implemented method of claim 2, wherein the processing further comprises:

processing, using the device, every fourth ECG sample of the digital ECG signal using a robust digital signal processing (DSP) algorithm to detect a peak of the down-sampled ECG signal.

4. The device-implemented method of claim 2, wherein the searching further comprises:

searching, using the device, a range of ECG sample points spanning left and right sides of the low resolution peak to determine the high resolution peak.

5. The device-implemented method of claim 4, wherein the range of ECG sample points spans from 3 points to the left to 3 points to the right of the low resolution peak.

6. The device-implemented method of claim 1, wherein the detecting is at a low sampling rate, further comprising:

filtering, using the device, the ECG signal using an anti-aliasing filter;

converting, using the device, the ECG signal from an analog domain to a digital domain using an analog-to-digital converter (ADC);

filtering, using the device, the digital ECG signal using a band-pass filter;

processing, using the device, the digital ECG signal using a digital signal processing (DSP) algorithm to detect the low resolution peak; and

searching, using the device, near the low resolution peak for the high resolution peak.

7. The device-implemented method of claim 6, wherein the searching further comprises:

selecting, using the device, a range of ECG sample points spanning left and right sides of the low resolution peak; and

interpolating, using the device, between the range to obtain high resolution interpolated samples; and

searching, using the device, within the high resolution interpolated samples to determine the high resolution peak.

8. The device-implemented method of claim 7, wherein the range of ECG sample points spans from 10 points to the left to 10 points to the right of the low resolution peak and wherein the searching within spans from 3 points to the left to 3 points to the right of the high resolution interpolated samples.

9. The device-implemented method of claim 1, wherein the calculating further comprises:

comparing, using the device, the high resolution peak with another previously calculated high resolution peak to compute the R-R interval calculation.

10. The device-implemented method of claim 1, further comprising:

attaching, using the device, a wireless sensor device to the user via at least one electrode; and

detecting, using the device, the ECG signal of the user by the wireless sensor device.

11. The device-implemented method of claim 1, wherein the low resolution peak is a QRS peak at a lower sampling rate of 125 Hz.

12. The device-implemented method of claim 1, wherein the high resolution peak is a QRS peak at a higher sampling rate of 500 Hz.

13. A wireless sensor device for R-R interval measurement of a user, the wireless sensor device comprising a processor and a memory device coupled to the processor, the memory device comprising executable instruction that, when executed by the processor, causes the processor to:

perform QRS peak detection on a detected electrocardiogram (ECG) signal of the user to obtain a low resolution peak;

search proximate the low resolution peak to determine a high resolution peak by scanning a range of ECG sample points that span to the left and to the right of the low resolution peak; and

calculate the R-R interval measurement based upon the high resolution peak.

14. The wireless sensor device of claim 13, wherein a circuit of the wireless sensor device filters the ECG signal using an anti-aliasing filter, converts the ECG signal to a digital ECG signal using an analog-to-digital converter (ADC), and filters the digital ECG signal using a band-pass filter, wherein the detection is at a high sampling rate, wherein the application, when executed by the processor, further causes the processor to:

down-sample the digital ECG signal at a low sampling rate;

process at least one ECG sample of the digital ECG signal using a digital signal processing (DSP) algorithm to detect a peak of the down-sampled ECG signal; and

search near the peak of the down-sampled ECG signal at the high sampling rate for the high resolution peak.

15. The wireless sensor device of claim 14, wherein to process further comprises to:

process every fourth ECG sample of the digital ECG signal using a robust digital signal processing (DSP) algorithm to detect a peak of the down-sampled ECG signal.

16. The wireless sensor device of claim 13, wherein a circuit of the wireless sensor device filters the ECG signal using an anti-aliasing filter, converts the ECG signal to a digital ECG signal using an analog-to-digital converter (ADC), and filters the digital ECG signal using a band-pass filter, wherein the detection is at a low sampling rate, wherein the application, when executed by the processor, further causes the processor to:

process the digital ECG signal using a digital signal processing (DSP) algorithm to detect the low resolution peak; and

search near the low resolution peak for the high resolution peak.

17. The wireless sensor device of claim 16, wherein to search further comprises to:

select a range of ECG sample points spanning left and right sides of the low resolution peak;

interpolate between the range to obtain high resolution interpolated samples; and

search within the high resolution interpolated samples to determine the high resolution peak.

18. The wireless sensor device of claim 17, wherein the range of ECG sample points spans from 10 points to the left to 10 points to the right of the low resolution peak and wherein the search within the high resolution interpolated samples spans from 3 points to the left to 3 points to the right of the high resolution interpolated samples.

19. The wireless sensor device of claim 13, wherein the range of ECG sample points spans 3 points to the left and 3 points to the right of the low resolution peak.

20. The wireless sensor device of claim 13, wherein to calculate further comprises to:

compare the high resolution peak with another previously calculated high resolution peak to compute the R-R interval calculation.