DWT-based electromyogram signal classification using maximum likelihood-estimated features for neurodiagnostic applications
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DOI: 10.1007/s11760-019-01590-6
Abstract: Automated diagnosis of neuromuscular disorders such as myopathy and neuropathy can be done by measuring and analyzing the nonlinear and non-stationary trends in electromyogram (EMG) signals. This paper introduces a new automated diagnostic approach with… read more here.
Keywords: classification; dwt based; maximum likelihood; based electromyogram ... See more keywords