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Sparse Encoding Algorithm for Real-Time ECG Compression

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Recent Trends in Signal and Image Processing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 727))

Abstract

In this paper, we propose a sparse encoding algorithm consisting of two schemes namely geometry-based method (GBM) and the wavelet transform-based iterative thresholding (WTIT). The sub-algorithm GBM reduces the minimal ECG voltage values to zero level. Subsequently, WTIT encodes the ECG signal in time-frequency domain, obtaining high sparsity levels. Compressed Row Huffman Coding (CRHC) algorithm converts the sparse matrices into compressed, transmittable matrices. The performance of the algorithms is validated in terms of compression ratio (CR), percentage RMS difference (PRD), and time complexity.

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Author information

Authors and Affiliations

  1. Institute of Radio Physics and Electronics, University of Calcutta, Kolkata, India

    Rohan Basu Roy, Alekhya Ghosh & Soham Bhattacharyya

  2. Department of ETCE, Jadavpur University, Kolkata, India

    Arani Roy & Mrinal K. Naskar

  3. IBM India Private Limited, Kolkata, India

    Amitava Mukherjee

Authors
  1. Rohan Basu Roy
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  2. Arani Roy
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  3. Amitava Mukherjee
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  4. Alekhya Ghosh
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  5. Soham Bhattacharyya
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  6. Mrinal K. Naskar
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Corresponding author

Correspondence to Rohan Basu Roy .

Editor information

Editors and Affiliations

  1. Department of Computer Application, RCC Institute of Information Technology, Kolkata, West Bengal, India

    Siddhartha Bhattacharyya

  2. Department of Engineering Science and Management, RCC Institute of Information Technology, Kolkata, West Bengal, India

    Anirban Mukherjee

  3. Department of Information Technology, RCC Institute of Information Technology, Kolkata, West Bengal, India

    Hrishikesh Bhaumik

  4. Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, West Bengal, India

    Swagatam Das

  5. Department of Human Intelligence Systems, Kyushu Institute of Technology, Wakamatsu-ku, Kitakyushu, Fukuoka, Japan

    Kaori Yoshida

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Cite this paper

Roy, R.B., Roy, A., Mukherjee, A., Ghosh, A., Bhattacharyya, S., Naskar, M.K. (2019). Sparse Encoding Algorithm for Real-Time ECG Compression. In: Bhattacharyya, S., Mukherjee, A., Bhaumik, H., Das, S., Yoshida, K. (eds) Recent Trends in Signal and Image Processing. Advances in Intelligent Systems and Computing, vol 727. Springer, Singapore. https://doi.org/10.1007/978-981-10-8863-6_4

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  • DOI: https://doi.org/10.1007/978-981-10-8863-6_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8862-9

  • Online ISBN: 978-981-10-8863-6

  • eBook Packages: EngineeringEngineering (R0)

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