A De-Noising Algorithm for ECG Signals Based on FIR Filter and Wavelet Transform

Lei Shi; Yu Juan Si; Liu Qi Lang; Cheng Yao; Li Li Liu

doi:10.4028/www.scientific.net/AMR.271-273.247

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 271-273A De-Noising Algorithm for ECG Signals Based on...

A De-Noising Algorithm for ECG Signals Based on FIR Filter and Wavelet Transform

Abstract:

This paper adopts a synthesis algorithm which combines FIR filters and wavelet threshold de-noising method to complete ECG de-noising. Firstly, we designed a FIR equiripple bandpass filter using Matlab FDATool to remove baseline drift, power interference and the high frequency part of muscle moments. Then we adopted an improved wavelet threshold de-noising algorithm to remove the remaining muscle moments with less decomposing levels. The algorithm was implemented on Matlab platform. The experimental results show that the algorithm is simple in design and has less calculation and good de-noising effect, which is superior to conventional wavelet threshold de-noising algorithm, and can be used in clinical analysis.

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Periodical:

Advanced Materials Research (Volumes 271-273)

Pages:

247-252

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.271-273.247

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Online since:

July 2011

Authors:

Lei Shi, Yu Juan Si, Liu Qi Lang, Cheng Yao, Li Li Liu

Keywords:

ECG Signal, Equiripple, FIR, Wavelet Threshold De-Noising (WTD)

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