Method and system for extracting ventricular fibrillation signals in electrocardiogram

Patent metadata

Field	Value
Publication number	US-9259167-B2
Application number	US-201414322497-A
Country	US
Kind code	B2
Filing date	Jul 2, 2014
Priority date	Jul 2, 2014
Publication date	Feb 16, 2016
Grant date	Feb 16, 2016

Abstract

This invention discloses a system and method for extracting VF signal in ECG recorded during uninterrupted CPR. The method and system applies an adaptive algorithm incorporating the EMD and least mean square (LMS) filtering to effectively model the CPR artifacts such as chest compression signals. Thus, A VF signal in ECG recorded during uninterrupted CPR can be extracted without deteriorating the reliability of the waveform parameter (i.e. AMSA) of shockability. The present invention enables uninterrupted CPR performed during recording ECG for accessing the shockability, so that an increase the probability of successful resuscitation is achieved.

First claim

What is claimed is:

1. A method for extracting a Ventricular Fibrillation (VF) signal in Electrocardiography (ECG), comprising:
receiving an ECG signal;
decomposing the ECG signal by using an Empirical Mode Decomposition (EMD) method to generate a plurality of Intrinsic Mode Functions (IMFs);
combining some IMFs with the same property to obtain a shape function;
correcting errors for each cycle of the shape function to obtain a compression signal; and
subtracting the compression signal from the ECG signal to obtain the VF signal.

2. The method according to claim 1 , wherein the received signal is the ECG signal.

3. The method according to claim 1 , wherein the ECG signal is a function of amplitude and time.

4. The method according to claim 1 , further comprising: receiving a reference signal, wherein the received signal is the reference signal.

5. The method according to claim 4 , wherein the reference signal is recorded by a wrist accelerometer.

6. The method according to claim 4 , wherein the reference signal is a function of amplitude and time.

7. The method according to claim 1 , wherein each of the IMFs is an expression of one equivalent in the received signal.

8. The method according to claim 1 , wherein the IMFs with the same property are the IMFs having the higher correlation coefficient with the ECG signal.

9. The method according to claim 1 , wherein the compression signal (S CPR ) elaborated by Least Mean Square (LMS) expresses as provided by (S1)

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Assignees

• Univ Nat Central

Inventors

• Lo Men-Tzung
• Hsieh Wan-Hsin
• Lin Chen
• Chang Yi-Chung
• Chang Hsiang-Chih
• Lin Lian-Yu
• Ko Patrick Chow-In
• Chiang Wen-Chu
• Ma Matthew Huei-Ming
• Hu Kun

Classifications

• A61B5/046 Primary

  Human Necessities · mapped topic

• A61B5/04012

  Human Necessities · mapped topic

• A61B5/7207 Primary

  of noise induced by motion artifacts · CPC title

• A61B5/11

  Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb {(A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721)} · CPC title

• A61B5/361 Primary

  Detecting fibrillation · CPC title