Prediction and classification of ventricular arrhythmia based on phase-space reconstruction and fuzzy c-means clustering.

Chen, Hanjie; Das, Saptarshi; Morgan, John M; Maharatna, Koushik

Chen, Hanjie; Das, Saptarshi; Morgan, John M; Maharatna, Koushik.

Afiliação

Chen H; School of Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ, UK. Electronic address: hc4y15@soton.ac.uk.
Das S; Department of Mathematics, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Penryn Campus, Penryn, TR10 9FE, UK; Institute for Data Science and Artificial Intelligence, University of Exeter, North Park Road, Exeter, Devon, EX4 4QE, UK. Electronic address: saptarshi.da
Morgan JM; Faculty of Medicine, University of Southampton, Tremona Road, Southampton, SO17 1BJ, UK. Electronic address: jmm@hrclinic.org.
Maharatna K; School of Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ, UK. Electronic address: km3@ecs.soton.ac.uk.

Comput Biol Med ; 142: 105180, 2022 03.

Article em En | MEDLINE | ID: mdl-35026575

Assuntos

Desfibriladores Implantáveis; Taquicardia Ventricular; Arritmias Cardíacas; Análise por Conglomerados; Humanos; Taquicardia Ventricular/diagnóstico; Fibrilação Ventricular/diagnóstico

Palavras-chave

Fuzzy C-means clustering; Phase space reconstruction; Prediction and classification; Ventricular arrhythmia

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Taquicardia Ventricular / Desfibriladores Implantáveis Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Comput Biol Med Ano de publicação: 2022 Tipo de documento: Article

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