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Noise Reduction from ECG Signal Using Error Normalized Step Size Least Mean Square Algorithm (ENSS) with Wavelet Transform

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Software Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 731))

Abstract

This paper presents the reduction of baseline wander noise found in ECG signals. The reduction has been done using wavelet transform inspired error normalized step size least mean square (ENSS-LMS) algorithm. We are presenting a wavelet decomposition-based filtering technique to minimize the computational complexity along with the good quality of output signal. The MATLAB simulation results validate the good noise rejection in output signal by analyzing parameters, excess mean square error (EMSE) and misadjustment.

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Author information

Authors and Affiliations

  1. Department of ECE, ASET, Amity University, Noida, Uttar Pradesh, India

    Rachana Nagal & Pradeep Kumar

  2. Department of CSE, MSIT, IP University, New Delhi, India

    Poonam Bansal

Authors
  1. Rachana Nagal
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  2. Pradeep Kumar
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  3. Poonam Bansal
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Corresponding author

Correspondence to Rachana Nagal .

Editor information

Editors and Affiliations

  1. Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi, Delhi, India

    M. N. Hoda

  2. Department of Computer Engineering, YMCAUST, Faridabad, Haryana, India

    Naresh Chauhan

  3. Department of Computer Science, University of Kashmir, Srinagar, Jammu and Kashmir, India

    S. M. K. Quadri

  4. Department of Information Technology and Systems, Indian Institute of Management Rohtak, Rohtak, Haryana, India

    Praveen Ranjan Srivastava

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Nagal, R., Kumar, P., Bansal, P. (2019). Noise Reduction from ECG Signal Using Error Normalized Step Size Least Mean Square Algorithm (ENSS) with Wavelet Transform. In: Hoda, M., Chauhan, N., Quadri, S., Srivastava, P. (eds) Software Engineering. Advances in Intelligent Systems and Computing, vol 731. Springer, Singapore. https://doi.org/10.1007/978-981-10-8848-3_16

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  • DOI: https://doi.org/10.1007/978-981-10-8848-3_16

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8847-6

  • Online ISBN: 978-981-10-8848-3

  • eBook Packages: EngineeringEngineering (R0)

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