Classification of neuromuscular disorders using features extracted in the wavelet domain of sEMG signals: a case study

The present study introduces a method for detecting possible neuropathy or myopathy cases of a subject based on surface electromyograms signals; the same method has been developed as a classification tool for movements of the upper arm. This research is proposed for its capability to classify subjects from a clinical dataset in healthy, myopathic and neuropathic cases. The extraction of features with simple morphology but estimated on the...