İstanbul Aydın Üniversitesi Dergisi (Jan 2013)

HERMITIAN TRANSFORM APPROACH IN CLASSIFICATION OF ECG SIGNALS

  • Olcay AKBULUT KURUŞ,
  • Niyazi KILIÇ,
  • Osman N. UÇAN

Journal volume & issue
Vol. 2, no. 7
pp. 89 – 101

Abstract

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The continuous Hermite functions have been used for continuous signal approximations for some time. Vectors called discrete Hermite functions are presented in this paper that model digital signals in a similar way, often with excellent compression capabilities. When used in conjunction with ANNs (artifıcal neural networks) Hermite founctions can effectively reduce computational load and provides faster classifıcation. In this work we purpose a method for classifıcation of ECG signals using Hermite basis functions.

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