Detail publikace

ECG classification using neural networks and McSharry model

Originální název

ECG classification using neural networks and McSharry model

Anglický název

ECG classification using neural networks and McSharry model

Jazyk

en

Originální abstrakt

The presented work is focused on modelling of arrhythmias using McSharry model followed by classification using an artificial neural network. The proposed method uses preprocessing of signals with Linear Approximation Distance Thresholding method and Line Segment Clustering method for establishing of initial parameters of McSharry model. The ECG data was taken from standard MIT/BIH arrhythmia database. Multilayer perceptron was used with classification accuracy of 90.1% for distinguishing of premature ventricular contraction and normal beat.

Anglický abstrakt

The presented work is focused on modelling of arrhythmias using McSharry model followed by classification using an artificial neural network. The proposed method uses preprocessing of signals with Linear Approximation Distance Thresholding method and Line Segment Clustering method for establishing of initial parameters of McSharry model. The ECG data was taken from standard MIT/BIH arrhythmia database. Multilayer perceptron was used with classification accuracy of 90.1% for distinguishing of premature ventricular contraction and normal beat.

BibTex


@inproceedings{BUT22837,
  author="Dina {Kičmerová} and Ivo {Provazník}",
  title="ECG classification using neural networks and McSharry model",
  annote="The presented work is focused on modelling of arrhythmias using McSharry model followed by classification using an artificial neural network. The proposed method uses preprocessing of signals with Linear Approximation Distance Thresholding method and Line Segment Clustering method for establishing of initial parameters of McSharry model. The ECG data was taken from standard MIT/BIH arrhythmia database. Multilayer perceptron was used with classification accuracy of 90.1% for distinguishing of premature ventricular contraction and normal beat.",
  address="IEEE",
  booktitle="Proceedings of 5th IEEE Workshop Zvule",
  chapter="22837",
  institution="IEEE",
  year="2007",
  month="august",
  pages="1--1",
  publisher="IEEE",
  type="conference paper"
}