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Block Based Variable Step Size LMS Adaptive Algorithm for Reducing Artifacts in the Telecadiology System

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Advances in Signal Processing and Intelligent Recognition Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 425))

Abstract

In this paper, an efficient Block Based Error Data Nonlinear Variable Step Size Least Mean Square (BBEDNVSSLMS) adaptive algorithm is used to reducing the noises present in the cardiogram signal. Now a day’s Heart attack is main problem in the world. This problem is very important when patients are present far away from the medical diagnosis centre. So in these cases Telecardiology (ambulatory) system will help to patient for proper treatment within their area. When we are measuring the Electrocardiogram (ECG) signal from the patient it will undergo numerous noises. In this paper we proposed efficient BBEDNVSSLMS adaptive algorithms for reducing of Power Line Interference (PLI) noise and Electrode Motion (EM) artifact noise. Also, we derived sign based algorithms based on BBEDNVSSLMS algorithm, which will give less computational complexity. Finally these algorithms are applied to corrupted ECG signals. By analyzing the simulation values for different factors on, Signal to noise ratio, convergence characteristics and Mean square error values, these algorithm gives better elimination of noise in the ECG signal compared to LMS algorithm.

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Author information

Authors and Affiliations

  1. Department of ECE, GIT, GITAM University, Visakhapatnam, 530045, AP, India

    Thumbur Gowri

  2. Department of ECE, AUCE, Andhra University, Visakhapatnam, 530003, AP, India

    P. Rajesh Kumar

Authors
  1. Thumbur Gowri
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  2. P. Rajesh Kumar
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Corresponding author

Correspondence to Thumbur Gowri .

Editor information

Editors and Affiliations

  1. and Management – Kerala (IIITM-K), Indian Inst. of Information Technology, Trivandrum, Kerala, India

    Sabu M. Thampi

  2. Machine Intelligence Unit, Indian Statistical Institute, Kolkata, West Bengal, India

    Sanghamitra Bandyopadhyay

  3. Department of Electrical, Ryerson University, Toronto, Ontario, Canada

    Sri Krishnan

  4. Providence University, Taichung, Taiwan

    Kuan-Ching Li

  5. Computer Engineering Department, Vladimir State University, Vladimir Region, Russia

    Sergey Mosin

  6. School of Electrical, Nanyang Technological University, Singapore, Singapore

    Maode Ma

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Gowri, T., Rajesh Kumar, P. (2016). Block Based Variable Step Size LMS Adaptive Algorithm for Reducing Artifacts in the Telecadiology System. In: Thampi, S., Bandyopadhyay, S., Krishnan, S., Li, KC., Mosin, S., Ma, M. (eds) Advances in Signal Processing and Intelligent Recognition Systems. Advances in Intelligent Systems and Computing, vol 425. Springer, Cham. https://doi.org/10.1007/978-3-319-28658-7_19

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  • DOI: https://doi.org/10.1007/978-3-319-28658-7_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28656-3

  • Online ISBN: 978-3-319-28658-7

  • eBook Packages: EngineeringEngineering (R0)

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