Compressão Contextual sem Perdas de Eletrocardiogramas utilizando Recursos Reduzidos de Memória.

Authors :: Magjarevic, R.
Nagel, J. H.
Müller-Karger, Carmen
Wong, Sara
La Cruz, Alexandra
de Souza, André Ricardo Ciraulo
Marques, J. R. T.
Lima, J. A. G.
Batista, L. V.
Source :: IV Latin American Congress on Biomedical Engineering 2007, Bioengineering Solutions for Latin America Health; 2008, p30-33, 4p
Publication Year :: 2008
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. [ABSTRACT FROM AUTHOR]

Language :: English
ISBNs :: 9783540744702
Database :: Supplemental Index
Journal :: IV Latin American Congress on Biomedical Engineering 2007, Bioengineering Solutions for Latin America Health
Publication Type :: Book
Accession number :: 33095595
Full Text :: https://doi.org/10.1007/978-3-540-74471-9_8

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