Open AccessJournal Article
Research on the ECG Signal Denoising Algorithm Based on Wavelet Transform and the Median Filter
TLDR
Conclusion shows that this algorithm can effectively restrain the main noise in ECG signals, meet the ECG waveform analysis of clinical and diagnostic requirements.Abstract:
In the process of ECG signal data acquisition,it was necessary to involve the electromyographic interference,baseline drift and 50Hz interference,while using the conventional system identification rules often to some extent and was difficult to identify the characteristics of ECG signal.Median filter was a kind of simple operation,high speed nonlinear signal filter,it was commonly used in the ECG signal denoising process in low frequency,such as baseline drift.Since WTS two dyadic wavelet was a set of band-pass filters with different scales,different frequency bands.The wavelet transform was used to decompose the original signal selected.Wavelet transform coefficients of the reconstruction was formed to eliminate interference in ECG signal.The simulation experiment to determine how adaptive threshold selection,appropriate level decomposition and wavelet function.Through using the MIT/BIH database of ECG signal,and combining with the computer simulation of the formation of ECG signal on the method of testing.Conclusion shows that this algorithm can effectively restrain the main noise in ECG signals,meet the ECG waveform analysis of clinical and diagnostic requirements.read more
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