Detecting paroxysmal atrial fibrillation from normal sinus rhythm in equine athletes using Symmetric Projection Attractor Reconstruction and machine learning.

Huang, Ying H; Lyle, Jane V; Ab Razak, Anisa Shahira; Nandi, Manasi; Marr, Celia M; Huang, Christopher L-H; Aston, Philip J; Jeevaratnam, Kamalan

Huang, Ying H; Lyle, Jane V; Ab Razak, Anisa Shahira; Nandi, Manasi; Marr, Celia M; Huang, Christopher L-H; Aston, Philip J; Jeevaratnam, Kamalan.

Afiliación

Huang YH; Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom.
Lyle JV; Department of Mathematics, University of Surrey, Guildford, United Kingdom.
Ab Razak AS; Department of Mathematics, University of Surrey, Guildford, United Kingdom.
Nandi M; Department of Veterinary Medicine, University of Cambridge, Madingley Rd, Cambridge, United Kingdom.
Marr CM; School of Cancer and Pharmaceutical Sciences, Faculty of Life Sciences & Medicine, King's College London, London, United Kingdom.
Huang CL; Rossdales Equine Hospital and Diagnostic Centre, Newmarket, United Kingdom.
Aston PJ; Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom.
Jeevaratnam K; Physiological Laboratory, University of Cambridge, Cambridge, United Kingdom.

Cardiovasc Digit Health J ; 3(2): 96-106, 2022 Apr.

Article en En | MEDLINE | ID: mdl-35493267

Palabras clave

Diagnostic; Equine ECG signals; Machine learning; Normal sinus rhythm; Paroxysmal atrial fibrillation; Symmetric Projection Attractor Reconstruction

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Cardiovasc Digit Health J Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido

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