MULTI-RESOLUTION ANALYSIS AND LOSSLESS ENCODERS IN THE COMPRESSION OF ELECTROCARDIOGRAPHIC SIGNALS

dc.contributor.authorBallesteros, Dora Mspa
dc.contributor.authorGaona, Andrés Espa
dc.date2011-08-12
dc.date.accessioned2019-09-19T21:53:01Z
dc.date.available2019-09-19T21:53:01Z
dc.descriptionMany algorithms have been developed in the compression on biomedical signals. One of the most commonly compressed signals correspond to the electrocardiographic signal because is frequently measurement in environment hospitals. In this paper, we present the comparison of two methods based on multi-resolution analysis and lossless encoders, specifically Discrete Wavelet Transform and Huffman-Run length. In theperformance of the algorithms, we analyzed two parameters: the compression ratio (CR) and the percentage of roots mean square (PRD). Our algorithms presented a CR of 8:1 to a PRD of 0,5%, which are good results in clinical applications, because the main characteristics in time and frequency are preserved.es-ES
dc.formatapplication/pdf
dc.identifierhttps://revistas.udistrital.edu.co/index.php/visele/article/view/262
dc.identifier10.14483/22484728.262
dc.identifier.urihttp://hdl.handle.net/11349/21663
dc.languagespa
dc.publisherUniversidad Distrital Francisco José de Caldases-ES
dc.relationhttps://revistas.udistrital.edu.co/index.php/visele/article/view/262/5595
dc.sourceVisión electrónica; Vol 4 No 1 (2010); 5-11en-US
dc.sourceVisión electrónica; Vol. 4 Núm. 1 (2010); 5-11es-ES
dc.source2248-4728
dc.source1909-9746
dc.subjectDWTes-ES
dc.subjectencoderses-ES
dc.subjectcompression ratees-ES
dc.subjectpercentage root mean square difference.es-ES
dc.titleMULTI-RESOLUTION ANALYSIS AND LOSSLESS ENCODERS IN THE COMPRESSION OF ELECTROCARDIOGRAPHIC SIGNALSes-ES
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.type.coarhttp://purl.org/coar/resource_type/c_6501

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