Electrocardiographic signals and swarm-based support vector machine for hypoglycemia detection

Annals of Biomedical Engineering

Volumn 40, Issue 4, 2012, Pages 934-945

  Nuryani, Nuryani ^a   Ling, Steve S H ^a   Nguyen, H T ^a  

^a UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

Author keywords

ECG parameter; Hypoglycemia detection; Particle swarm optimization (PSO); Support vector machine (SVM)

Indexed keywords

CARDIAC ARRHYTHMIA; DETECTION TECHNIQUE; DIABETIC PATIENT; ECG PARAMETERS; HYBRID TECHNIQUES; MEDICAL DATA; SENSITIVITY AND SPECIFICITY; TYPE 1 DIABETES;

ELECTROCARDIOGRAPHY; INSULIN; PARTICLE SWARM OPTIMIZATION (PSO);

SUPPORT VECTOR MACHINES;

ARTICLE; ELECTROCARDIOGRAPHY; HEART ARRHYTHMIA; HUMAN; HYPOGLYCEMIA; INSULIN DEPENDENT DIABETES MELLITUS; METHODOLOGY; PATHOPHYSIOLOGY; SENSITIVITY AND SPECIFICITY;

ARRHYTHMIAS, CARDIAC; DIABETES MELLITUS, TYPE 1; ELECTROCARDIOGRAPHY; HUMANS; HYPOGLYCEMIA; SENSITIVITY AND SPECIFICITY;

EID: 84862124606     PISSN: 00906964     EISSN: 15739686     Source Type: Journal    
DOI: 10.1007/s10439-011-0446-7     Document Type: Article

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