Low-distortion ECG denoising

Patent metadata

Field	Value
Publication number	US-9986951-B1
Application number	US-201314089342-A
Country	US
Kind code	B1
Filing date	Nov 25, 2013
Priority date	Nov 25, 2013
Publication date	Jun 5, 2018
Grant date	Jun 5, 2018

Abstract

A method and system for low-distortion denoising of an ECG signal are disclosed. The method comprises determining at least one beat of the ECG signal for denoising using a beat selection logic and denoising the at least one beat using at least one ensemble averaging filter. The system includes a sensor to detect the ECG signal, a processor coupled to the sensor, wherein the processor includes a beat selection logic unit, 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 determine at least one beat of the ECG signal for denoising using a beat selection logic and to denoise the at least one beat using at least one ensemble averaging filter.

First claim

The invention claimed is:

1. A wireless sensor device for low-distortion denoising of an ECG signal, the wireless sensor device comprising:
a sensor to detect the ECG signal;
a processor coupled to the sensor, wherein the processor includes a beat selection logic unit; 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:
determine a plurality of beats of the ECG signal for denoising using the beat selection logic unit;
stretch in time the plurality of beats by resampling the plurality of beats of the ECG signal to create a predetermined length for each beat of the plurality of beats;
align the stretched beats of the plurality of beats by aligning peaks of neighboring beats of the plurality of beats; and
denoise the plurality of beats using at least one ensemble averaging filter across the aligned beats of the plurality of beats.

2. The wireless sensor device of claim 1 , wherein the application, when executed by the processor, further causes the processor to:
detect at least one QRS peak of the ECG signal using a narrow bandwidth filter.

3. The wireless sensor device of claim 2 , wherein the application, when executed by the processor, further causes the processor to:
cancel baseline wander of the ECG signal using interpolation between values of TP segments of consecutive beats of the ECG signal.

4. The wireless sensor device of claim 3 , wherein the to cancel the baseline wander of the ECG signal further comprises
calculate a plurality of mid-beats of the ECG signal;
interpolate between the plurality of mid-beats to reconstruct a baseline; and
remove the baseline from the ECG signal.

5. The wireless sensor device of claim 1 , wherein the beat selection logic unit is used to exclude outlier beats of the ECG signal from the denoising.

6. The wireless sensor device of claim 1 , wherein the beat selection logic unit performs any of the following:
detecting polarity changes, irregular RR intervals, irregular QRS amplitudes, posture, and determining statistical change penalties.

7. The wireless sensor device of claim 1 , wherein the application, when executed by the processor, further causes the processor to:
determine whether a difference between at least two beats of the ECG signal is due only to noise, wherein the at least two beats are not excluded from the denoising if the difference between the at least two beats is due only to noise.

8. The wireless sensor device of claim 1 , wherein the application, when executed by the processor, further causes the processor to:
time-scale the at least one denoised beat back to an original length.

Assignees

• Vital Connect Inc

Inventors

• Ferdosi Nima
• Narasimhan Ravi

Classifications

• A61B5/0456

  Human Necessities · mapped topic

• A61B5/04017

  Human Necessities · mapped topic

• A61B5/7203 Primary

  for noise prevention, reduction or removal · CPC title

• A61B5/0006

  ECG or EEG signals · CPC title

• A61B5/0472

  Human Necessities · mapped topic