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. 2021 May 28;16(5):e0252104. doi: 10.1371/journal.pone.0252104

Table 6. Comparison with state-of-the-art methods.

Study Features Extraction Classification Accuracy (%)
[19] Tim-domain and frequency-domain statistical features. Artificial Neural Network (ANN) 96.03
[15] singular spectrum analysis and Curvelet transform Deep convolutional neural networks 100
[20] Higher-order Statistical features Higher-Order Statistical Estimator 83.00
[16] Sparse signal decomposition with hybrid dictionary Hierarchical Decision Tree Algorithm 97.3
[21] discrete wavelet transform and entropy norm ANN 99.66
[22] Non-dominated sorting Genetic algorithm based on S-transform and time–time transform Decision tree 99.93
[23] Independent component analysis Multi Layer Perceptron (MLP) 97.00
This Study SPADC with ASA and time-domain statistical features SVM 98.05