Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.21/4796
Título: ECG Analysis Using Consensus Clustering
Autor: Lourenço, André Ribeiro
Carreiras, Carlos
Bulò, Samuel Rocha
Fred, Ana Luísa Nobre
Palavras-chave: Consensus Clustering
ECG Analysis
ECG-Based Biometrics
Evidence Accumulation
Data: 2014
Editora: European Signal Processing Conference, EUSIPCO
Citação: LOURENÇO, André Ribeiro; [et al] – ECG analysis using consensus clustering. In European Signal Processing Conference. EUSIPCO - European Signal Processing Conference, 2014. ISSN: 2219-5491. Art. nr. 6952141, p. 511-515.
Relatório da Série N.º: 6952141
Resumo: Biosignals analysis has become widespread, upstaging their typical use in clinical settings. Electrocardiography (ECG) plays a central role in patient monitoring as a diagnosis tool in today's medicine and as an emerging biometric trait. In this paper we adopt a consensus clustering approach for the unsupervised analysis of an ECG-based biometric records. This type of analysis highlights natural groups within the population under investigation, which can be correlated with ground truth information in order to gain more insights about the data. Preliminary results are promising, for meaningful clusters are extracted from the population under analysis. © 2014 EURASIP.
Peer review: yes
URI: http://hdl.handle.net/10400.21/4796
ISBN: 978-099286261-9
ISSN: 2219-5491
Aparece nas colecções:ISEL - Eng. Elect. Tel. Comp. - Comunicações

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