Method and system for cardiac signal decomposition

• US 7,853,317 B2
• Filed: 10/13/2005
• Issued: 12/14/2010
• Est. Priority Date: 10/13/2004
• Status: Expired due to Fees

• Current Assignee: Sigmed Incorporated
• Original Assignee: Sigmed Incorporated
• Inventors: Jung, Tzyy-Ping, Duann, Jeng-Ren
• Primary Examiner(s): Layno; Carl H
• Assistant Examiner(s): Stice; Paula J
• Application Number:
  US11/577,227
• Publication Number:
  US 20080097537A1
• Time in Patent Office: 1,888 Days
• Field of Search: 600500-512, 600/515, 600/484, 607 4- 9, 607115-118
• US Class Current: 600/509
• CPC Class Codes: A61B 5/349 Detecting specific parameters of the electrocardiograph cycle

Abstract

A method and system decomposes a cardiac signal, such as an electrocardiogram (ECG) signal, into components. The components are then usable to assist in the detection of an abnormal heart condition. More particularly, a single lead sensor is used to generate a single lead cardiac signal. The cardiac signal is segmented into a set of cycle segments according to detected heart waveforms. The cycle segments are aligned and used to generate a set of cross-sectional signals. The cross-sectional signals are aligned and presented as inputs to a signal separation process, which separates the cardiac signal into a set of components. The components may be grouped according to predefined criteria. The components or groups may be analyzed or displayed to assist in the detection of an abnormal cardiac signal, which may be indicative of an abnormal heart condition. In one example, the signal separation process is a non-orthogonal transformation method such as independent component analysis (ICA).

Claims

1. A method of analyzing an electrocardiogram (ECG) signal, the method comprising:

receiving the ECG signal;

segmenting the received ECG signal into a set of cycle segments;

aligning the set of cycle segments along a relative time axis to obtain aligned cycle segments;

generating a set of cross-sectional signals from the aligned cycle segments, wherein each cross-sectional signal is a time-slice signal representing a cross-section of the aligned cycle segments along a relative time of the aligned cycle segments, said each cross-sectional signal corresponding to a different relative time;

separating, using a signal separation process, the set of cross-sectional signals into a set of statistically substantially independent components; and

detecting, using the set of components, an abnormal cardiac signal;

wherein the steps of receiving, segmenting, aligning, generating, separating, and detecting are performed by a processor-based cardiac signal detection system.

2. The method of claim 1, further comprising the steps of

selecting a plurality of the independent components that match a predefined criteria;

and

arranging the selected independent components into a component group.

3. The method of claim 2, wherein the detecting step comprises detecting the abnormal cardiac signal in the component group.

4. The method of claim 2, wherein the selecting step comprises choosing in accordance with one or more predefined criteria, the one or more predefined criteria comprising one or more frequency criteria, and one of the component groups is arranged to have independent components matching the one or more frequency criteria.

5. The method of claim 2, further comprising displaying at least one of the arranged component groups and a name identifying the predefined criteria.

6. The method of claim 2, further comprising displaying the component group.

7. The method of claim 1, further comprising the steps of:

displaying at least some of the independent components to an operator;

receiving from the operator instructions to select a plurality of the independent components; and

arranging the selected independent components into a component group.

8. The method of claim 1, wherein segmenting the received ECG signal comprises isolating the received ECG signal into a set of QRS complex wave cycle segments.

9. The method of claim 1, wherein aligning the cycle segments comprises detecting an R-wave peak point of each of the cycle segments.

10. The method of claim 1, wherein aligning the cycle segments comprises detecting a P-wave peak point of each of the cycle segments.

11. The method of claim 1, wherein aligning the cycle segments comprises detecting a Q-wave peak point of each of the cycle segments.

12. The method of claim 1, wherein aligning the cycle segments comprises detecting a R-wave peak point of each of the cycle segments and calculating time intervals between adjacent R-wave peak points.

13. The method of claim 1, wherein segmenting the received ECG signal comprises arranging each cycle segment to have one and only one heart waveform cycle.

14. The method of claim 1, wherein segmenting the received ECG signal comprises arranging each cycle segment to have a plurality of heart waveform cycles.

15. The method of claim 1, wherein separating the set of cycle segments comprises using a non-orthogonal transformation.

16. The method of claim 1, wherein separating the set of cycle segments comprises using an independent component analysis process.

17. The method of claim 1, wherein the receiving step comprises receiving the ECG signal as a one channel ECG signal from a single lead sensor.

18. The method of claim 1, wherein the receiving step comprises receiving the ECG signal from one channel from a multi-lead sensor.