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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