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Electrocardiogram Signal Denoising Using Discrete Wavelet Transform
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作者 Mustapha El HANINE Elhassane ABDELMOUNIM +1 位作者 Rachid HADDADI abdelaziz belaguid 《Computer Technology and Application》 2014年第2期98-104,共7页
The most common noises in ECG (electrocardiogram) signal processing are BW (baseline wandering) and the 50 or 60 Hz PLI (power line interferences). In order to remove these two major source of noises, we have us... The most common noises in ECG (electrocardiogram) signal processing are BW (baseline wandering) and the 50 or 60 Hz PLI (power line interferences). In order to remove these two major source of noises, we have used the recent powerful DWT (discrete wavelet transform) signal processing in ECG signals which are obtained from MIT-BIH Arrhythmia Database. The results indicate that DWT is a good method for filtering noises without changing the morphology of ECG, and can be applied to all types of ECG signals, whether normal or presenting arrhythmias. 展开更多
关键词 ECG Signal processing 60 Hz PLI baseline wander DWT.
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