Artificial intelligence algorithm for heart disease diagnosis using Phonocardiogram signals

IEEE International Conference on Electro Information Technology

Volumn , Issue , 2012, Pages

  Abdel Motaleb, Ibrahim ^a   Akula, Rohit ^a  

^a NORTHERN ILLINOIS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE SYSTEMS; AUTOMATIC DIAGNOSIS; BACKPROPAGATION NETWORK; HEART DISEASE; HEART DISEASE DIAGNOSIS; PCG SIGNAL; PHONOCARDIOGRAMS; RECEIVER OPERATING CHARACTERISTICS; SPECTRAL PEAK;

ALGORITHMS; CARDIOLOGY; DISEASES; NEURAL NETWORKS; PHONOCARDIOGRAPHY; POWER SPECTRAL DENSITY; RADIAL BASIS FUNCTION NETWORKS;

DIAGNOSIS;

EID: 84864242021     PISSN: 21540357     EISSN: 21540373     Source Type: Conference Proceeding    
DOI: 10.1109/EIT.2012.6220714     Document Type: Conference Paper

References (8)

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5. T. R. Reed., N. E Reed. and P. Fritzson, "The analysis of heart sounds for symptom detection and machine-aided diagnosis". In Proceedings of the 4th International EUROSIM conference, 2001,pp. 1-6.
6. F. Yaghouby, A. Ayatollahi and R. Soleimani, Classification of Cardiac Abnormalities Using Reduced Features of Heart Rate Variability Signal". World Applied Sciences Journal 6 (11), 2009, pp. 1547-1554.
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8. P. Venkatesan and S. Anitha. Application of a radial basis function neural network for diagnosis of diabetes mellitus. Current science, vol. 91, no. 9, 10 November, 2006, pp. 1195-1199.