Vol. 3 Issue 3
Year:2015
Issue:Jul-Sep
Title:Removal of High Frequency Noise from the ECG Signal Using Averaging Filters
Author Name:Vishakha Pandey and V. K. Giri
Synopsis:
The Electro-CardioGram (ECG) is a graphical representation of electro-mechanical activities of the heart. It reflects the state of heart, and is very much useful in disease diagnosis. Since, the ECG signal contains high frequency noise, is well known as power line interference. Hence, it must be removed for further processing. This paper presents an algorithm, developed for denoising high frequency noise from ECG signal which is based on a simple averaging and a moving averaging filter. The filtering process is followed by an algorithm for smoothing the ECG signal using polynomial curve fitting. It’s denoising performance is implemented, smoothened, and compared in the C++ environment. The proposed algorithm does require redundant preprocessing steps, thus allowing a simple architecture for its implementation as well as low computational cost.
Year:2015
Issue:Jul-Sep
Title:Removal of High Frequency Noise from the ECG Signal Using Averaging Filters
Author Name:Vishakha Pandey and V. K. Giri
Synopsis:
The Electro-CardioGram (ECG) is a graphical representation of electro-mechanical activities of the heart. It reflects the state of heart, and is very much useful in disease diagnosis. Since, the ECG signal contains high frequency noise, is well known as power line interference. Hence, it must be removed for further processing. This paper presents an algorithm, developed for denoising high frequency noise from ECG signal which is based on a simple averaging and a moving averaging filter. The filtering process is followed by an algorithm for smoothing the ECG signal using polynomial curve fitting. It’s denoising performance is implemented, smoothened, and compared in the C++ environment. The proposed algorithm does require redundant preprocessing steps, thus allowing a simple architecture for its implementation as well as low computational cost.
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