Computer aided diagnosis of ECG data on the least square support vector machine

Author:

Polat Kemal,Akdemir Bayram,Güneş Salih

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference12 articles.

1. http://www.medicinenet.com/electrocardiogram_ecg_or_ekg/article.htm (last accessed: April 19, 2007)

2. Pattern detection of atherosclerosis from carotid artery Doppler signals using fuzzy weighted pre-processing and least square support vector machine (LSSVM);Polat;Ann. Biomed. Eng.,2007

3. A hybrid automated detection system based on least square support vector machine classifier and k-NN based weighted pre-processing for diagnosing of macular disease;Polat,2007

4. Multiclass support vector machines for EEG-signals classification;Guler;IEEE Trans. Inf. Technol. Biomed.,2007

5. H.A. Güvenir, B. Acar, Feature selection using a genetic algorithm for the detection of abnormal ECG recordings, in: Proceedings of the World Conference on Systemics, Cybernetics and Informatics (ISAS/SCI 2001), Orlando, FL, 2001, pp. 437–442

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