Ensemble classifier fostered detection of arrhythmia using ECG data.

Ramkumar, M; Alagarsamy, Manjunathan; Balakumar, A; Pradeep, S

Ramkumar, M; Alagarsamy, Manjunathan; Balakumar, A; Pradeep, S.

Afiliación

Ramkumar M; Department of Electronics and Communication Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, 641-008, Tamil Nadu, India. mramkumar0906@gmail.com.
Alagarsamy M; Department of Electronics and Communication Engineering, K.Ramakrishnan College of Technology, Trichy, 621112, Tamil Nadu, India.
Balakumar A; Department of Electronics and Communication Engineering, K.Ramakrishnan College of Engineering, Trichy, 621112, Tamil Nadu, India.
Pradeep S; Department of Electronics and Communication Engineering, K.S.Rangasamy College of Technology, Tiruchengode, 637215, Tamil Nadu, India.

Med Biol Eng Comput ; 61(9): 2453-2466, 2023 Sep.

Article en En | MEDLINE | ID: mdl-37145258

Asunto(s)

Arritmias Cardíacas; Electrocardiografía; Humanos; Teorema de Bayes; Arritmias Cardíacas/diagnóstico; Redes Neurales de la Computación; Frecuencia Cardíaca; Procesamiento de Señales Asistido por Computador; Algoritmos

Palabras clave

Arrhythmia detection; ECG data; MIT-BIH arrhythmia database; Naive Bayes (NB) and random forest (RF); Residual exemplars local binary pattern; Support vector machines (SVM)

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Arritmias Cardíacas / Electrocardiografía Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Med Biol Eng Comput Año: 2023 Tipo del documento: Article País de afiliación: India Pais de publicación: Estados Unidos

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