Publication
Evaluation of lead i ECG features discriminant power for cardiac diseases identification
| dc.contributor.author | Pereira, Renato | |
| dc.contributor.author | Rodrigues, Pedro | |
| dc.contributor.author | Bispo, Bruno C. | |
| dc.date.accessioned | 2021-05-14T17:00:25Z | |
| dc.date.available | 2021-05-14T17:00:25Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | This work proposes to analyze the capacity of several ECG features ofLead I to discriminate 28 pairs of study groups, combining 7 patholog-ical groups and 1 control group, presented in the PTB Diagnostic ECGDatabase. For each pair, it was achieved an accuracy between 66.7% and96.9% using feature selection algorithm and SVM classifiers. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10400.14/33149 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | no | pt_PT |
| dc.title | Evaluation of lead i ECG features discriminant power for cardiac diseases identification | pt_PT |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 114 | pt_PT |
| oaire.citation.startPage | 113 | pt_PT |
| oaire.citation.title | Proceedings of RECPAD 2019 25th Portuguese Conference on Pattern Recognition | pt_PT |
| person.familyName | Rodrigues | |
| person.givenName | Pedro Miguel | |
| person.identifier | 1944552 | |
| person.identifier.ciencia-id | 7416-BD33-8299 | |
| person.identifier.orcid | 0000-0002-5381-6615 | |
| person.identifier.scopus-author-id | 57551233700 | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
| relation.isAuthorOfPublication | 084419ea-3a19-4216-bae7-db55d4786eab | |
| relation.isAuthorOfPublication.latestForDiscovery | 084419ea-3a19-4216-bae7-db55d4786eab |
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