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A study on compression techniques for off-the-person electrocardiogram signals

dc.contributor.authorCerca, António
dc.contributor.authorLourenço, André
dc.contributor.authorJ. Ferreira, Artur
dc.date.accessioned2020-04-22T18:57:18Z
dc.date.available2020-04-22T18:57:18Z
dc.date.issued2019-04-18
dc.description.abstractThe compression of Electrocardiography (ECG) signals acquired in off-the-person scenarios requires methods that cope with noise and other impairments on the acquisition process. In this paper, after a brief review of common on-the-person ECG signal compression algorithms, we propose and evaluate techniques for this compression task with off-the-person acquired signals, in both lossy and lossless scenarios, evaluated with standard metrics. Our experimental results show that the joint use of Linear Predictive Coding and Lempel-Ziv-Welch is an adequate lossless approach, and the amplitude scaling followed by the Discrete Wavelet Transform achieves the best compression ratio, with a small distortion, among the lossy techniques.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCERCA, António; LOURENÇO, André; FERREIRA, Artur – A study on compression techniques for off-the-person electrocardiogram signals. In 2019 IEEE 6th Portuguese Meeting on Bioengineering (ENBENG). Lisbon, Portugal: IEEE, 2019. ISBN 978-1-5386-8507-5. Pp. 1-4pt_PT
dc.identifier.doi10.1109/ENBENG.2019.8692467pt_PT
dc.identifier.isbn978-1-5386-8507-5
dc.identifier.isbn978-1-5386-8506-8
dc.identifier.urihttp://hdl.handle.net/10400.21/11500
dc.language.isoengpt_PT
dc.publisherInstitute of Electrical and Electronics Engineerspt_PT
dc.relation.publisherversionhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8692467&tag=1pt_PT
dc.subjectElectrocardiographypt_PT
dc.subjectLinear Predictive Codingpt_PT
dc.subjectLempel-Ziv-Welchpt_PT
dc.subjectDiscrete Wavelet Transformpt_PT
dc.titleA study on compression techniques for off-the-person electrocardiogram signalspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlace22-23 Feb. 2019 - Lisbon, Portugalpt_PT
oaire.citation.endPage4pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleIEEE 6th Portuguese Meeting on Bioengineering (ENBENG)pt_PT
person.familyNameLourenço
person.familyNameFerreira
person.givenNameAndré
person.givenNameArtur
person.identifier1049438
person.identifier.ciencia-id091A-96FB-A88C
person.identifier.orcid0000-0001-8935-9578
person.identifier.orcid0000-0002-6508-0932
person.identifier.ridAAL-4377-2020
person.identifier.scopus-author-id35315359300
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationcbc6b0dc-187b-4f88-a8b3-52b4721df057
relation.isAuthorOfPublication734bfe75-0c68-4cdf-8a87-2aef3564f5bd
relation.isAuthorOfPublication.latestForDiscoverycbc6b0dc-187b-4f88-a8b3-52b4721df057

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