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Análise de Diferentes Técnicas de Classificação Não-Supervisionada de Batimentos Cardíacos

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Part of the IFMBE Proceedings book series (IFMBE,volume 18)

Abstract

This paper presents the comparison between two electrocardiogram (ECG) classification systems which are based on the Dynamic Time Warping (DTW) and K-means algorithms. The DTW has been chosen due to this capacity to align beats of different lengths by a non linear time warping. K-means is a classical self-organizing algorithm very popular in ECG applications because it can cluster efficiently signals by making comparisons among them. The two systems are based on a non supervised approach which divides the heart beats of an ECG recording in two different classes. Experiments were carried out using 34 two-channel recordings of the MIT-BIH Arrhythmia Database. Both systems have shown a very good performance in terms of sensitivity and positive predictivity measures. However, the system based on the DTW has presented some important advantages, since it carries out a full automatic classification, without requiring the manual labeling, and operates on-line, allowing patient monitoring with alarms for cases of arrhythmia.

Palabras claves

  • Classificador não supervisionado
  • Dynamic time warping
  • eletrocardiograma
  • K-means

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© 2007 Springer-Verlag Berlin Heidelberg

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de Aguiar, R.O., Andreão, R.V., Bastos Filho, T.F. (2007). Análise de Diferentes Técnicas de Classificação Não-Supervisionada de Batimentos Cardíacos. In: Müller-Karger, C., Wong, S., La Cruz, A. (eds) IV Latin American Congress on Biomedical Engineering 2007, Bioengineering Solutions for Latin America Health. IFMBE Proceedings, vol 18. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74471-9_17

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  • DOI: https://doi.org/10.1007/978-3-540-74471-9_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74470-2

  • Online ISBN: 978-3-540-74471-9

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