Artificial neural networks for the classification of cardiac patient states using ECG and blood pressure data

ANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference

Volumn , Issue , 2001, Pages 323-327

  Tjoa, M P ^a   Dutt, D N ^a   Lim, Y T ^a   Yau, B W ^a   Kugean, R C ^a   Krishnan, S M ^a   Chan, K L ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; BLOOD PRESSURE; ELECTROCARDIOGRAPHY; INFORMATION SYSTEMS; INPUT OUTPUT PROGRAMS; NEURAL NETWORKS;

CARDIAC PATIENTS; CLASSIFICATION ACCURACY; INPUT DATAS; MULTI-MODAL DATA; MULTIMODAL INPUTS; PERFORMANCE COMPARISON; PREMATURE VENTRICULAR CONTRACTION; THREE CATEGORIES;

RADIAL BASIS FUNCTION NETWORKS;

EID: 33750120304     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ANZIIS.2001.974098     Document Type: Conference Paper

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