DocumentCode
3034852
Title
Nonlinear ARX modeling of heart diseases based on heart sounds
Author
Shamsuddin, Noraishah ; Taib, Mohd Nasir
Author_Institution
Adv. Autom. & RFID Centre, SIRIM BHD, Shah Alam, Malaysia
fYear
2011
fDate
4-6 March 2011
Firstpage
382
Lastpage
387
Abstract
This paper proposed the heart disease modeling system based on heart sounds. The model uses ARX model as regression vector and Neural Network as nonlinear model structures. The number of hidden neurons was optimised by minimizing the criterion of NSSE, fit and FPE criterion. The model architecture of 2-4-1 perfectly fits the original heart sound signals with average R-square of above 99.9%. The weight parameters of the models were then estimated and analysed for the purpose of classification of the heart diseases.
Keywords
cardiology; diseases; medical signal processing; neural nets; patient diagnosis; regression analysis; FPE criterion; NSSE; average R-square; heart disease modeling system; heart sounds; hidden neurons; neural network; nonlinear ARX modeling; nonlinear model structure; regression vector; Analytical models; Diseases; Heart; Neurons; Personal digital assistants; Training; Variable speed drives; Lipschitz; MLP; NARX model; heart sounds; heart valve disease;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and its Applications (CSPA), 2011 IEEE 7th International Colloquium on
Conference_Location
Penang
Print_ISBN
978-1-61284-414-5
Type
conf
DOI
10.1109/CSPA.2011.5759907
Filename
5759907
Link To Document