Wavelet based dictionaries for dimensionality reduction of ECG signals

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dc.contributor.authorRebollo-Neira, Laura
dc.contributor.authorČerná, Dana
dc.date.accessioned2019-10-15T05:47:56Z
dc.date.available2019-10-15T05:47:56Z
dc.date.issued2019-09
dc.description.abstractDimensionality reduction of ECG signals is considered within the framework of sparse representation. The approach constructs the signal model by selecting elementary components from a redundant dictionary via a greedy strategy. The proposed wavelet dictionaries are built from the multiresolution scheme, but translating the prototypes within a shorter step than that corresponding to the wavelet basis. The reduced representation of the signal is shown to be suitable for compression at low level distortion. In that regard, compression results are superior to previously reported benchmarks on the MIT-BIH Arrhythmia data set.cs
dc.format.extent9 strancs
dc.identifier.doi10.1016/j.bspc.2019.101593
dc.identifier.urihttps://dspace.tul.cz/handle/15240/154024
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S1746809419301739
dc.language.isocscs
dc.publisherELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
dc.relation.ispartofBIOMEDICAL SIGNAL PROCESSING AND CONTROL
dc.subjectSparse representationcs
dc.subjectECG compressioncs
dc.subjectWavelet dictionariescs
dc.subjectGreedy pursuit strategiescs
dc.titleWavelet based dictionaries for dimensionality reduction of ECG signalscs
local.article.numberUNSP 101593
local.identifier.publikace7355
local.relation.volume54
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