Automated diagnosis of coronary artery disease (CAD) patients using optimized SVM

• Published in: Computer methods and programs in biomedicine Vol. 138; pp. 117 - 126
• Main Authors: Davari Dolatabadi, Azam, Khadem, Siamak Esmael Zadeh, Asl, Babak Mohammadzadeh
• Format: Journal Article
• Language: English
• Published: Ireland Elsevier B.V 01.01.2017
• Subjects: Adult; Aged; Aged, 80 and over; Algorithms; Coronary artery disease; Coronary Artery Disease - diagnosis; Coronary Artery Disease - physiopathology; Electrocardiogram; Electrocardiography; Female; Hearth rate variability; Humans; Internal Medicine; Male; Middle Aged; Other; Principal Component Analysis; Support Vector Machine; Support vector machines; Young Adult; Support vector machines; Hearth rate variability; Coronary artery disease; Electrocardiogram; Principal component analysis

•The purpose of the research is to distinguish CAD subjects from normal subjects.•SVM and PCA are used as the methods of classification.•Nonlinear and frequency domain methods are used for feature extraction.•Signals are used with 24 hours length.•The overall accuracy of the research shows the quali...