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Compressão Contextual sem Perdas de Eletrocardiogramas utilizando Recursos Reduzidos de Memória

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

Abstract

The present work presents a new lossless compression method for eletrocardiogram (ECG) signals using a binary version of the prediction by partial matching (PPM) algorithm. Experimental evaluation was made using the bank of ECG records MIT-BIH Arrhythmia Database. The proposed method reached a compression ratio average of 2,5:1, with very modest memory requirements.

Keywords

  • Data compression
  • electrocardiogram
  • PPM

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Referências

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© 2007 Springer-Verlag Berlin Heidelberg

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de Souza, A.R.C., Marques, J.R.T., Lima, J.A.G., Batista, L.V. (2007). Compressão Contextual sem Perdas de Eletrocardiogramas utilizando Recursos Reduzidos de Memória. 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_8

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  • DOI: https://doi.org/10.1007/978-3-540-74471-9_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74470-2

  • Online ISBN: 978-3-540-74471-9

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