Schematic of the collection and processing of intramuscular EMG signals (IMAGE)
Caption
This graphic illustrates the potential for collecting and processing iEMG signals for diagnostic purposes using the proposed algorithm. The intramuscular signals from a person's right upper arm are recorded (shown as the pink spot). The adjacent circle shows the details of the needle electrode and the signal recording setup. The signal waveforms (on laptop screen) are then processed to extract the feature (1-D CSLBP) that effectively captures the differences underlying different neuromuscular disorders. The output of this processing step is supplied to the artificial neural network—machine learning approach—that performs the (binary) classification. The classification step is depicted by the graph with an inclined line bisecting the two classes, corresponding to the signals for myopathy (green dots) and neuropathy (orange dots), respectively. The respective colored arrows point to the muscle fiber cross-section corresponding to myopathy (green) and neuropathy (orange). For aesthetic appeal, the dark background has a transparent overlay of neurons (light brown) to convey the context of the underlying cause of neuromuscular disorders.
Credit
Created using biorender.com by V. Shenoy Handiru.
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