Automated diagnosis of Coronary Artery Disease affected patients using LDA, PCA, ICA and Discrete Wavelet Transform

► Novel Coronary Artery disease detection system is proposed. ► Discrete Wavelet Transform coefficients are fed to PCA, LDA and ICA for dimensionality reduction. ► ICA coupled with Gaussian Mixture Model classifier yielded an accuracy of 96.8%. Coronary Artery Disease (CAD) is the narrowing of the b...

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Veröffentlicht in:	Knowledge-based systems 2013-01, Vol.37, p.274-282
Hauptverfasser:	Giri, Donna, Rajendra Acharya, U., Martis, Roshan Joy, Vinitha Sree, S., Lim, Teik-Cheng, Ahamed, Thajudin, Suri, Jasjit S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Classifiers Coronary Artery Disease Discrete Wavelet Transform Electrocardiogram Heart rate signal Independent Component Analysis Linear Discriminant Analysis Principle Component Analysis
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