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Enhancement of ECG signal by DFT using Fast Fourier Transform (FFT) Algorithm


Author : Jitendra Kumar Verma, Anil Kumar and Arvind Kumar Jaiswal

Pages : 1781-1784
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Abstract

A primarily diagnostic tool for cardiovascular diseases ECG, a non invasive technique generally used during acquisition and transportation. Noises like channel noise, baseline wander noise, muscle artefacts, electrode motion, often embedded with ECG signal. In this paper a methology to overcome from channel noise embedded during the transportation of ECG signal, proposed in this methodology DFT of noisy ECG signal calculated using fast fourier transform (FFT) algorithm. The experimental result demonstrate the proposed method is superior to other with higher SNR and lower RMSE factor, performance comparison at 1.25 dB is demonstrated.

Keyword: ECG, Channel noise, Gaussian function, FFT, Wavelet transform, S-Transform.

Article published in International Journal of Current Engineering and Technology, Vol.5, No.3 (June-2015)

 

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