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Article Details ::
Article Name :
ECG SIGNAL DE-NOISING USING DIFFERENT WAVELET TRANSFORM
Author Name :
GOHIL NARENDRASINH BABUBHA
Publisher :
Ashok Yakkaldevi
Article Series No. :
ROR-544
Article :
Author Profile
Abstract :
The wavelet transformation is based on a set of analyzing wavelets allowing the decomposition of ECG signal in a set of coefficients. Each analyzing wavelet has its own time duration, time location and frequency band. In the wavelet based algorithm, the ECG signal is de-noised by removing the corresponding wavelet coefficients at higher scales. One of the main applications of a filter is to sort out the unwanted parts of an input signal. These unwanted parts might be noise pre- sent out of the frequency band in the desired signal. During transforming the corrupted signal into the frequency domain, the frequencies that belong to the external noise can be easily detected.
Keywords :
 
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