05-12-2012, 04:10 PM
Noise and Artifacts elimination method For ECG signal using ICA
Noise and Artifacts.doc (Size: 35.5 KB / Downloads: 27)
ABSTRACT
Routinely recorded electrocardiograms (ECGs) are often corrupted by different types of artifacts and many efforts have been made to enhance their quality by reducing thenoise or artifacts. This paper addresses the problem of removing noise and artifacts from ECGs using Independent Component Analysis (ICA). An ICA algorithm is tested on 3−channel ECG recordings taken from human subjects, mostly in the Coronary Care Unit (CCU).
Results are presented that show that ICA can detect and remove a variety of noise and artifact sources in these ECGs. One difficulty with the application of ICA is the determination of the order of the independent components. A new technique based on simple statistical parameters is proposed to solve this problem in this application. The developed technique is successfully applied to the
ECG data and offers potential for online processing of ECG using ICA.
INTRODUCTION
In routinely recorded ECGs, many types of noise and artifact are present. Noise is defined to be part of the real signal that confuses analysis (e.g. muscle movements) and artifact is defined to be any distortion of the signal caused by the recording process, such as electrode movement. Many attempts have been made to detect and eliminate noise sources and artiacts from the actual electrocardiographic signals. Analogue or digital filters are widely used to reduce the influence of interference
Literature Survey:
There have been many methods for removing Artifacts and Noise from ECG signal different researches are applied to find exact ECG signal so that diagnosis is done correctly by doctors.
Routinely recorded electro-cardioframs _ECG) are corrupted by different types of artifacts and many efforts have been made to enhance their quality by reducing the noise or artifacts. Following are the different methods to remove artifacts and noise from ECG signal.
1) Principal component analysis
2) Non linear adaptive method of elimination of power line interference in ECG signal
3) Elimination of ECG artifacts without using differential amplifier