Compression of QRS complexes using Hermite expansion

Aliaksei Sandryhaila, Jelena Kovačević, Markus Püschel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose an algorithm for the compression of ECG signals, in particular QRS complexes, based on the expansion of signals with compact support into a basis of discrete Hermite functions. These functions are obtained by sampling continuous Hermite functions, previously used for the compression of ECG signals. Our algorithm uses the theory of signal models based on orthogonal polynomials, and achieves higher compression ratios compared with previously reported algorithms, both those using Hermite functions, as well as those using the discrete Fourier and discrete cosine transforms.

Original languageEnglish (US)
Title of host publication2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
Pages581-584
Number of pages4
DOIs
StatePublished - 2011
Event36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Prague, Czech Republic
Duration: May 22 2011May 27 2011

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
CountryCzech Republic
CityPrague
Period5/22/115/27/11

Keywords

  • DCT
  • DFT
  • ECG signal
  • Hermite function
  • Hermite transform
  • QRS complex
  • compression

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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