Systems and methods for ECG monitoring

• US 9,364,160 B2
• Filed: 03/12/2013
• Issued: 06/14/2016
• Est. Priority Date: 03/28/2012
• Status: Expired due to Fees

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Nair, Amrish, Marziliano, Pina
• Primary Examiner(s): Alter, Alyssa M
• Application Number:
  US13/797,889
• Publication Number:
  US 20130261482A1
• Time in Patent Office: 1,190 Days
• Field of Search: 600/509, 600/521
• US Class Current: 1/1
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/349 Detecting specific parameters of the electrocardiograph cycle
• CPC Class Codes: A61B 5/7207 of noise induced by motion artifacts
• CPC Class Codes: A61B 5/726 using Wavelet transforms

Abstract

A method, system, apparatus and device for processing an ECG signal to remove or reduce noise from the ECG signal attributable to EMG and/or motion artifacts. The novel algorithm common to all aspects of the device can include wavelet decomposing an ECG signal to produce a set of approximation coefficients and a plurality of sets of detail coefficients, locally fitting subsets of the set of approximation coefficients to second order polynomials, adjusting the set of approximation coefficients by the locally fitted second order polynomials, setting some of the detail coefficients to zero, and reconstructing an ECG signal with reduced noise based on the modified set of approximation coefficients and the modified plurality of sets of detail coefficients.

Claims

1. A computer implemented method of reducing noise in an ECG signal, the method comprising:

wavelet decomposing an ECG waveform with a processor to produce a set of approximation coefficients and a plurality of sets of detail coefficients; and

modifying the set of approximation coefficients with a processor to reduce noise attributable to subject motion during acquisition of the ECG waveform to produce a set of modified approximation coefficients,

wherein the modifying the set of approximation coefficients comprises locally fitting adjacent subsets of the approximation coefficients to second order polynomials.

2. The method of claim 1, further comprising adjusting the set of approximation coefficients by subtracting corresponding values of the second order polynomials to produce a set of modified approximation coefficients.

3. The method of claim 1, further comprising setting the values of D₁, D₂ and D₃ sets of detail coefficients to zero.

4. The method of any one of claim 1, 2, or 3, further comprising position thresholding the detail coefficients of the decomposition based at least in part on the position of the detail coefficients with respect to an R wave of the ECG signal to reduce noise attributable to EMG signals in the ECG waveform.

5. The method of claim 4, wherein the position thresholded detail coefficients comprise D4 and D5 sets of detail coefficients.

6. The method of claim 2, further comprising:

determining the location of R waves of the ECG waveform based at least in part on the derivatives of the modified approximation coefficients; and

position thresholding detail coefficients of the decomposition based at least in part on the position of the detail coefficients with respect to the R waves of the ECG signal to reduce noise attributable to EMG signals in the ECG waveform.

7. The method of any one of claim 1, 2, 3, 5, or 6, wherein the set of approximation coefficients comprise 5th level approximation coefficients.

8. An ECG signal processing apparatus, the apparatus comprising:

a processor configured to;

wavelet decompose the ECG waveform to produce a set of approximation coefficients and a plurality of sets of detail coefficients; and

modify the set of approximation coefficients to reduce noise attributable to subject motion during acquisition of the ECG waveform to produce a set of modified approximation coefficients,

wherein the processor is configured to modify the set of approximation coefficients by locally fitting adjacent subsets of the approximation coefficients to second order polynomials.

9. The apparatus of claim 8, wherein the processor is further configured to position threshold detail coefficients of the decomposition based at least in part on the position of the detail coefficients with respect to R waves of the ECG signal to reduce noise attributable to EMG signals in the ECG waveform.

10. The apparatus of claim 8 or 9, wherein the apparatus comprises ECG electrodes, an A/D converter, and an antenna configured for mounting on the body of a subject.

11. A computer implemented method of reducing noise in an ECG signal, the method comprising:

wavelet decomposing an ECG waveform with a processor to produce a set of approximation coefficients and a plurality of sets of detail coefficients; and

position thresholding detail coefficients of the decomposition based at least in part on the position in time of the detail coefficients with respect to R waves of the ECG signal to reduce noise attributable to EMG signals in the ECG waveform.

12. The method of claim 11, further comprising modifying the set of approximation coefficients with a processor to reduce noise attributable to subject motion during acquisition of the ECG waveform.

13. The method of claim 12, wherein modifying the set of approximation coefficients comprises locally fitting adjacent subsets of the approximation coefficients to second order polynomials.

14. The method of claim 11, wherein the position thresholding detail coefficients of the decomposition comprises zeroing the one or more detail coefficients that are more than a predetermined distance in time from the R waves.

15. An ECG signal processing apparatus, the apparatus comprising:

a processor configured to;

wavelet decompose the ECG waveform to produce a set of approximation coefficients and a plurality of sets of detail coefficients; and

position threshold detail coefficients of the decomposition based at least in part on the position in time of the detail coefficients with respect to R waves of the ECG signal to reduce noise attributable to EMG signals in the ECG waveform.

16. The apparatus of claim 15, wherein the processor is further configured to modify the approximation coefficients to reduce noise attributable to subject motion during acquisition of the ECG waveform.

17. The apparatus of claim 16, wherein the processor is further configured to modify the approximation coefficients by locally fitting adjacent subsets of the approximation coefficients to second order polynomials.

18. The apparatus of claim 17, wherein the processor is further configured to produce a set of modified approximation coefficients by adjusting the set of approximation coefficients by subtracting corresponding values of the second order polynomials.

19. The apparatus of claim 18, wherein the processor is further configured to determine the location of R waves of the ECG signal based at least in part on the derivatives of the modified set of approximation coefficients.

20. The apparatus of any one of claims 15-19, wherein the apparatus comprises ECG electrodes, an A/D converter, and an antenna configured for mounting on the body of a subject.

21. The apparatus of claim 15, wherein the processor is configured to position threshold detail coefficients of the decomposition by zeroing the one or more detail coefficients that are more than a predetermined distance in time from the R waves.

22. A computer implemented method of processing an ECG signal, the method comprising:

wavelet decomposing an ECG waveform with a processor to produce a set of approximation coefficients and a plurality of sets of detail coefficients;

locally fitting with a processor adjacent subsets of the approximation coefficients to second order polynomials;

adjusting the approximation coefficients using the second order polynomials to produce a set of modified approximation coefficients;

determining the location of R waves of the ECG signal based at least in part on the derivatives of the set of modified approximation coefficients; and

position thresholding with a processor detail coefficients of the decomposition by setting some of the detail coefficients to zero based at least in part on the position of the detail coefficients with respect to the R waves of the ECG signal to produce a plurality of sets of modified detail coefficients.

23. The method of claim 22, further comprising reconstructing the ECG waveform with a processor from at least a portion of the set of modified approximation coefficients and the plurality of sets of modified detail coefficients.

24. The method of claim 22 or 23, wherein the set of approximation coefficients comprise 5th level approximation coefficients.

25. The method of claim 22, further comprising setting the values of D₁, D₂ and D₃ sets of detail coefficients to zero.

26. The method of claim 22 or 25, wherein the position thresholded detail coefficients comprise D₄ and D₅ sets of detail coefficients.

27. An apparatus for reducing noise in an ECG signal, the apparatus comprising:

a processor configured to;

wavelet decompose an ECG waveform to produce a set of approximation coefficients and a plurality of sets of detail coefficients;

locally fit adjacent subsets of the approximation coefficients to second order polynomials;

adjust the approximation coefficients using the second order polynomials to produce a set of modified approximation coefficients;

determine the location of R waves of the ECG signal based at least in part on the derivatives of the set of modified approximation coefficients; and

position threshold detail coefficients of the decomposition based at least in part on the position of the detail coefficients with respect to the R waves of the ECG signal to produce a plurality of sets of modified detail coefficients.

28. The apparatus of claim 27, wherein the processor is further configured to reconstruct the ECG waveform from at least a portion of the set of modified approximation coefficients and the plurality of sets of modified detail coefficients.

29. The apparatus of claim 27, wherein the apparatus comprises ECG electrodes, an A/D converter, and an antenna configured for mounting on the body of a subject.

30. A device for processing an ECG signal, comprising:

means for wavelet decomposing an ECG waveform to produce a set of approximation coefficients and a plurality of sets of detail coefficients;

means for locally fitting adjacent subsets of the approximation coefficients to second order polynomials;

means for adjusting the approximation coefficients using the second order polynomials to produce a set of modified approximation coefficients;

means for determining the location of R waves of the ECG signal based at least in part on the derivatives of the set of modified approximation coefficients; and

means for position thresholding detail coefficients of the decomposition by setting some of the detail to coefficients to zero based at least in part on the position of the detail coefficients with respect to the R waves of the ECG signal to produce a plurality of sets of modified detail coefficients.

31. The device of claim 30, further comprising means for reconstructing the ECG waveform from at least a portion of the set of modified approximation coefficients and the plurality of sets of modified detail coefficients.

32. The device of claim 30 or 31, wherein the approximation coefficients comprise 5th level approximation coefficients.

33. The device of claim 30 or 31, wherein the position thresholded detail coefficients comprise D₄ and D₅ sets of detail coefficients.