New features for scanned bioelectrical activity of motor unit in health and disease

Publication date: March 2018 Source:Biomedical Signal Processing and Control, Volume 41 Author(s): N. Tuğrul Artuğ, Imran Goker, Bülent Bolat, Onur Osman, Elif Kocasoy Orhan, M. Baris Baslo The present study aims to find new features that support the differential diagnosis of neuromuscular diseases. Scanning EMG is an experimental method developed for understanding the motor unit organization and for observing temporal and spatial characteristics of motor unit’s electrical activity. A motor unit consists of a motor neuron and muscle fibers that are innervated by its motor neuron. Both simulation and biological data on neuromuscular diseases are considered in this study. Biological data were acquired from 3 patients with neurogenic involvement (2 with poliomyelitis sequela and 1 with spinal muscular atrophy), 2 patients with myopathy (1 with inflammatory myopathy and 1 with muscular dystrophy) and 4 healthy participants. Seven features are extracted by specifications of neuromuscular diseases and characteristics of EMG signals. These features are maximum amplitude, spike duration, the number of peaks, maximum amplitude x spike duration, number of peaks x spike duration, the ratio of the power outside the activity corridor to the power inside the activity corridor and the number of peaks outside of the activity corridor. The autocorrelation function of the sum of scanning EMG signals is effective in determining the activity corridor of these signals and the spike d...
Source: Biomedical Signal Processing and Control - Category: Biomedical Science Source Type: research