Article ID Journal Published Year Pages File Type
6854962 Expert Systems with Applications 2018 16 Pages PDF
Abstract
Experimental results show that the proposed ECG signal representation using sparse decomposition technique with PSO optimized least-square twin SVM (best classifier model among k-NN, PNN and RBFNN) reported higher classification accuracy of 99.11% in category and 89.93% in personalized schemes respectively than the existing methods to the state-of-art diagnosis.
Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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