Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India

Research Article

Design of Window based FIR filter for Electrocardiogram Noise Removal

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  • @INPROCEEDINGS{10.4108/eai.7-12-2021.2314495,
        author={Ameer Rasel  V.B and Uma  A and Kalpana  P},
        title={Design of Window based FIR filter for Electrocardiogram Noise Removal},
        proceedings={Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India},
        publisher={EAI},
        proceedings_a={ICCAP},
        year={2021},
        month={12},
        keywords={finite impulse response (fir) electrocardiogram (ecg) muscle artifacts (ma) baseline wander (bw)},
        doi={10.4108/eai.7-12-2021.2314495}
    }
    
  • Ameer Rasel V.B
    Uma A
    Kalpana P
    Year: 2021
    Design of Window based FIR filter for Electrocardiogram Noise Removal
    ICCAP
    EAI
    DOI: 10.4108/eai.7-12-2021.2314495
Ameer Rasel V.B1, Uma A1, Kalpana P1,*
  • 1: PSG College of Technology
*Contact email: pk.ece@psgtech.ac.in

Abstract

Cardiovascular diseases are the major threat for the survival of human being. Electrocardiogramis used in the diagnosis of the heart diseases. But many types of noises are present to deter the quality of ECG signals. Thus, these noises must be filtered using Digital filter like FIR (Finite Impulse Response)filter.There are different approaches to design a FIR filter. One of the prominent ways is by usingwindows.There are other ways of designing the FIR filters but filtering using windows is one of the fastest ways of designing the FIR filters. In this paper different orders to filter has been analyzed and the best order to filter the ECG is found. Using that order different windows of FIR filter has been designed using Xilinx System Generator which is used to filter the noisy ECG signal. Also, various windows have been compared for filtering noises in ECG like Base line Wander noise and Muscle Artifacts noise. The best window among all the window is found out using MATLAB Simulink.