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Clinical conditions | Classification method | Performance | Ref. |
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Atrial fibrillation, atrial flutter, ventricular fibrillation, and normal sinus rhythm | Decision tree, random forest, and rotation forest | 98.37%, 96.29%, and 94.14% accuracy for rotation forest, random forest, and decision tree, respectively | [123] |
Effect of the exposure to low-frequency noise of different intensities on the cardiovascular activities | Statistical analysis of RQA-based measures | Statistically significant parameters obtained with value ≤ 0.05 | [126] |
Obstructive sleep apnea | A soft decision fusion rule combining SVM and neural network | 86.37% sensitivity, 83.47% specificity, and 85.26% accuracy | [128] |
Arrhythmia | Joint probability density classifier | 94.83 ± 0.37% accuracy | [129] |
Sudden cardiac death | K-NN, SVM, decision tree, and probabilistic neural network | 86.8% accuracy, 80% sensitivity, and 94.4% specificity with K-NN classifier and 86.8% accuracy, 85% sensitivity, and 88.8% specificity with PNN | [127] |
Atrial fibrillation | Unthresholded recurrence plots | 72% accuracy | [130] |
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