A unified framework for multi-lead ECG characterization using Laplacian Eigenmaps.

Villa, Amalia; Ingelaere, Sebastian; Jacobs, Ben; Vandenberk, Bert; Van Huffel, Sabine; Willems, Rik; Varon, Carolina

Villa, Amalia; Ingelaere, Sebastian; Jacobs, Ben; Vandenberk, Bert; Van Huffel, Sabine; Willems, Rik; Varon, Carolina.

Afiliación

Villa A; Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium.
Ingelaere S; Department of Cardiovascular Diseases, Experimental Cardiology, KU Leuven, Leuven, Belgium.
Jacobs B; Quality by Design NV (QbD), Wilrijk, Belgium.
Vandenberk B; Department of Cardiovascular Diseases, Experimental Cardiology, KU Leuven, Leuven, Belgium.
Van Huffel S; Department of Cardiac Sciences, Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Willems R; Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium.
Varon C; Department of Cardiovascular Diseases, Experimental Cardiology, KU Leuven, Leuven, Belgium.

Physiol Meas ; 44(7)2023 07 24.

Article en En | MEDLINE | ID: mdl-37336241

Asunto(s)

Electrocardiografía; Isquemia Miocárdica; Humanos; Electrocardiografía/métodos; Arritmias Cardíacas; Frecuencia Cardíaca

Palabras clave

ECG signal processing; Laplacian Eigenmaps; dimensionality reduction; manifold learning

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Isquemia Miocárdica / Electrocardiografía Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Physiol Meas Asunto de la revista: BIOFISICA / ENGENHARIA BIOMEDICA / FISIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Bélgica Pais de publicación: Reino Unido

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