Comparison of Support-Vector Machine and Sparse Representation Using a Modified Rule-Based Method for Automated Myocardial Ischemia Detection

Table 2

Comparison of the classification results from previous studies for ischemic beat detection.

Method	Sensitivity (%)
RMS difference series [12]	85
Rule-mining based [11]	87
Back propagation network [41]	89
Artificial neural networks (ANN) [19]	90
Principal components analysis and neural networks [13]	90
Genetic algorithm and multicriteria [21]	91
Fuzzy expert system [18]	91
SVM [23]	92
Rule-based [9]	92
Knowledge-based [8]	94
Kernel density estimation (KDE) [25]	94
SVM [25]	94
SVM (this work)	94.81%
Sparse representation-based classification (SRC) (this work)	96.62%