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A Secured System for Tele Cardiovascular Disease Monitoring

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Computational Vision and Bio-Inspired Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1318))

Abstract

Electrocardiogram (ECG) signals play an indispensable role in interpreting the heart's effectiveness in the form of electrosignals to diagnose different types of cardiac problems. These vital signals should also be transmitted safely to avoid any interruptions in the data loss or noise that may lead to illness detection. As ECG signals are observed with a higher-dimensional scale, this should be compressed for leveraging accurate control and transportation. A method of lossless compression called Huffman-based discrete cosine transform (DCT) is performed in this manuscript for achieving the efficient transmission of ECG data. DCT and inverse discrete cosine transform (IDCT) are suggested for improving data privacy and lowering the data complexity. This manuscript concentrates on achieving a high level of accuracy ratio in the reconstruction upon compression and transportation of the original data (OrDa) unaccompanied any failure in the lowest computational time. During the first stages, preprocessing and sampling are performed to eliminate the sounds and transmission of OrDa. The DCT-based Huffman quantization approach achieved great performance measures as “distortion percentage”(PRD), “signal-to-noise ration” (SNR), “quality score” (QS), and “compression ration” (CR) when comparing with current approaches in different data transformations.

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Author information

Authors and Affiliations

  1. College of Computer Science & Information Technology, University of Anbar, Ramadi, Iraq

    Azmi Shawkat Abdulbaqi, Saif Al-din M. Najim & Shokhan M. Al-barizinji

  2. Faculty of Arts, Computing and Creative Industry, UPSI, Tanjong Malim, Malaysia

    Ismail Yusuf Panessai

Authors
  1. Azmi Shawkat Abdulbaqi
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  2. Saif Al-din M. Najim
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  3. Shokhan M. Al-barizinji
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  4. Ismail Yusuf Panessai
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Corresponding author

Correspondence to Azmi Shawkat Abdulbaqi .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, RVS Technical Campus, Coimbatore, Tamil Nadu, India

    S. Smys

  2. Departamento de Engenharia Mecanica, SDI, Faculty of Engineering, Universidade do Porto, Porto, Portugal

    João Manuel R. S. Tavares

  3. Czech Technical University in Prague, Prague, Czech Republic

    Robert Bestak

  4. College of Graduate Studies, University of Central Florida, Orlando, FL, USA

    Fuqian Shi

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Abdulbaqi, A.S., Najim, S.Ad.M., Al-barizinji, S.M., Panessai, I.Y. (2021). A Secured System for Tele Cardiovascular Disease Monitoring. In: Smys, S., Tavares, J.M.R.S., Bestak, R., Shi, F. (eds) Computational Vision and Bio-Inspired Computing. Advances in Intelligent Systems and Computing, vol 1318. Springer, Singapore. https://doi.org/10.1007/978-981-33-6862-0_18

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