Cardiac sound murmurs classification with autoregressive spectral analysis and multi-support vector machine technique
Authors:
- Samjin ChoiSCSamjin Choi
- Zhongwei JiangZJZhongwei Jiang
- 1 January 2010
- journal article
- research article
- Published by Elsevier in Computers in Biology and Medicine
- Vol. 40 (1) , 8-20
Abstract
No abstract availableKeywords
This publication has 51 references indexed in Scilit:
- Comparison of envelope extraction algorithms for cardiac sound signal segmentationExpert Systems with Applications, 2008
- EEG signal classification using wavelet feature extraction and a mixture of expert modelExpert Systems with Applications, 2007
- A Robust Method for Heart Sounds Localization Using Lung Sounds EntropyIEEE Transactions on Biomedical Engineering, 2006
- Clinical decision-support for diagnosing stress-related disorders by applying psychophysiological medical knowledge to an instance-based learning systemArtificial Intelligence in Medicine, 2006
- Usefulness of a new sound spectral averaging technique to distinguish an innocent systolic murmur from that of aortic stenosisThe American Journal of Cardiology, 2005
- Neural network analysis of internal carotid arterial Doppler signals: predictions of stenosis and occlusionExpert Systems with Applications, 2003
- Wavelets: What next?Proceedings of the IEEE, 1996
- Support-vector networksMachine Learning, 1995
- A new look at the statistical model identificationIEEE Transactions on Automatic Control, 1974
- The Clinical Value of Frequency Analysis of the First Heart Sound in Myocardial InfarctionCirculation, 1970