ECG signal Compression using Data Extraction and Truncated Singular Value Decomposition

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dc.contributor.authorSyed Salman Kabir*, Mamshad Nayeem Rizve, Md. Kamrul Hasan
dc.date.accessioned2026-07-06T19:31:35Z
dc.date.available2026-07-06T19:31:35Z
dc.date.issued21-Dec-2017
dc.description.abstractIn this paper a novel algorithm is used for
dc.description.abstractcompressing ECG data. The algorithm uses two techniques
dc.description.abstractsimultaneously to get a better compression of ECG data.
dc.description.abstractFirstly Data extraction: a sampling technique based on a
dc.description.abstractuser defined threshold value is applied on ECG followed
dc.description.abstractby Truncated Singular Value Decomposition. Changing
dc.description.abstractthe number of Singular Values higher compression can be
dc.description.abstractachieved. The proposed method provides two variables:
dc.description.abstractThreshold & Number of Singular Value, which can be
dc.description.abstractchanged to achieve optimum compression while keeping
dc.description.abstractthe error low. Compression performance & quality of
dc.description.abstractreconstructed ECG in the proposed method is evaluated
dc.description.abstractusing Compression Ratio (CR) & Percent Root Mean
dc.description.abstractSquare Difference (PRD).
dc.identifier.otherhttp://103.99.128.19:8080/jspui/handle/123456789/138
dc.identifier.urihttp://103.99.128.10:8080/xmlui/handle/123456789/138
dc.publisherPME, CUET
dc.sourceCUET Digital Repository
dc.subjectData Extraction, Truncated Singular Value Decomposition (TSVD
dc.titleECG signal Compression using Data Extraction and Truncated Singular Value Decomposition

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