Applications of supervised learning to biological signals: ECG signal quality and systemic vascular resistance

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2012, Pages 57-60

  Redmond, Stephen J ^a   Lee, Qim Yi ^a   Xie, Yang ^a   Lovell, Nigel H ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATION AREA; BIOLOGICAL SIGNALS; BIOSIGNALS; ECG SIGNALS; ELECTROCARDIOGRAM RECORDINGS; HEALTH OUTCOMES; INFORMATION DISCOVERY; MEDICAL DEVICE TECHNOLOGIES; SEMI-SUPERVISED; SYSTEMATIC METHODOLOGY; TELEHEALTH;

BIOMEDICAL EQUIPMENT; ELECTROCARDIOGRAPHY; HEALTH CARE; MEDICAL COMPUTING; SUPERVISED LEARNING;

BLOOD PRESSURE;

ALGORITHM; AUTOMATION; BIOLOGICAL MODEL; ELECTROCARDIOGRAPHY; HUMAN; METHODOLOGY; REVIEW; SIGNAL PROCESSING; VASCULAR RESISTANCE;

ALGORITHMS; AUTOMATION; ELECTROCARDIOGRAPHY; HUMANS; MODELS, CARDIOVASCULAR; SIGNAL PROCESSING, COMPUTER-ASSISTED; VASCULAR RESISTANCE;

MLCS; MLOWN;

EID: 84870776912     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2012.6345870     Document Type: Conference Paper

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