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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
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ISO Certification: 9001:2015
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License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 04

Published on: April 2026

A DETAILED SURVEY OF ELECTROCARDIOGRAM SIGNAL REDUCTION STRATEGIES: EVOLUTIONS, HURDLES, AND PERSPECTIVES

Om Dev

Satnam Singh

ECE Department SSCET Badhani Punjab

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

Abstract

With the rise of telehealth and long-term cardiac surveillance via wearables, the need for effective ECG compression has intensified. These techniques must balance the reduction of spectral bandwidth with the preservation of critical clinical markers. This paper surveys the landscape of ECG compression, comparing traditional algorithmic approaches with modern neural network architectures. Through a comparative analysis of metrics like Percentage Root Mean Square Difference and Compression Ratio, we highlight the evolution of the field, address persistent implementation challenges, and suggest future trajectories for research.

Keywords—ECG, Signal Compression, Wavelet Transform, Machine Learning, PRD, CR

How to Cite this Paper

Dev, O. (2026). A Detailed Survey of Electrocardiogram Signal Reduction Strategies: Evolutions, Hurdles, and Perspectives. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.225

Dev, Om. "A Detailed Survey of Electrocardiogram Signal Reduction Strategies: Evolutions, Hurdles, and Perspectives." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.225.

Dev, Om. "A Detailed Survey of Electrocardiogram Signal Reduction Strategies: Evolutions, Hurdles, and Perspectives." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.225.

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  • All submissions are screened under plagiarism detection.
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  • Peer Review Type: Double-Blind Peer Review
  • Published on: Apr 11 2026
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