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access icon free Efficient compression technique based on temporal modelling of ECG signal using principle component analysis

  • Author(s): Ranjeet Kumar 1 ; Anil Kumar 1, 2 ; G.K. Singh 3 ; Heung-No Lee 2
    • View affiliations
    • Affiliations: 1: ECE, PDPM Indian Institute of Information Technology, Design and Manufacturing Jabalpur, Jabalpur 482 005, Madhya Pradesh, India ;
      2: School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju 500712, Korea ;
      3: Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, Uttarakhand, India
  • Source: Volume 11, Issue 3, May 2017, p. 346 – 353
    DOI:  10.1049/iet-smt.2016.0360 , Print ISSN 1751-8822, Online ISSN 1751-8830
© The Institution of Engineering and Technology
Received 30/08/2016, Accepted 10/01/2017, Revised 23/10/2016, Published 12/01/2017

This study presents an improved technique for compression of electrocardiogram (ECG) signals, based on beat correlation of signal and principle component (PC) analysis, for ECG signal. For this purpose, two-dimensional matrix of ECG signal based on temporal inter-and intra-beat correlation is constructed, and further compression is achieved using PC extraction. Beat correlation helps to generate very few PCs that increase the compression efficiency. A detailed analysis has been presented for ten signals having different rhythms, wave morphologies and abnormalities of Massachusetts Institute of Technology - Beth Israel Hospital (MIT-BIH) arrhythmia database. The effectiveness of the proposed method is examined with several attributes such as percentage root-mean-square difference, compression ratio, signal-to-noise ratio and correlation. Experimental results have shown that this method is very efficient for compression and suitable for different applications of telecardiology.

Inspec keywords: correlation methods; principal component analysis; matrix algebra; electrocardiography; medical signal processing

Other keywords: principle component analysis; telecardiology; compression technique; ECG signal; temporal modelling; signal-to-noise ratio; PC analysis; temporal intrabeat correlation; two-dimensional matrix; temporal interbeat correlation; electrocardiogram signal; MIT-BIH arrhythmia database; root-mean-square difference

Subjects: Signal processing and detection; Algebra; Digital signal processing; Bioelectric signals; Electrodiagnostics and other electrical measurement techniques; Probability theory, stochastic processes, and statistics; Other topics in statistics; Algebra, set theory, and graph theory; Biology and medical computing; Algebra; Other topics in statistics

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