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Table 3 Summary of the classification performances of previous methods

From: An EMG-based feature extraction method using a normalized weight vertical visibility algorithm for myopathy and neuropathy detection

Method (feature + classification) Total classification accuracy (%)
Database 1
 RQA + SVM (Sultornsanee et al. 2011) 98.28
 VVA + SVM (Artameyanant et al. 2014) 99.07
 WVA + MLPNN (Artameyanant et al. 2015) 94.73
Proposed method 99.17
Database 2
 AR + WNN (Subasi et al. 2006) 90.70
 CWT + SVM (Istenic et al. 2010) 70.40
 AR + neuro-fuzzy system (Kocer 2010) 90.00
 AR-DWT + DFNN (Subasi 2012a, b) 94.00
 DWT + ESVM (Subasi 2013a) 97.00
 DWT + PSO-SVM (Subasi 2013b) 97.41
 DWT + random forest (Gokgoz and Subasi 2015) 96.67
Proposed method 98.36