title: Rectification of SEMG as a tool to demonstrate synchronous motor unit activity during vibration.
abstract: The use of surface electromyography (SEMG) in vibration studies is problematic since motion artifacts occupy the same frequency band with the SEMG signal containing information on synchronous motor unit activity. We hypothesize that using a harsher, 80-500 Hz band-pass filter and using rectification can help eliminate motion artifacts and provide a way to observe synchronous motor unit activity that is phase locked to vibration using SEMG recordings only. Multi Motor Unit (MMU) action potentials using intramuscular electrodes along with SEMG were recorded from the gastrocnemius medialis (GM) of six healthy male volunteers. Data were collected during whole body vibration, using vibration frequencies of 30 Hz, 35 Hz, 40 Hz or 50 Hz. A computer simulation was used to investigate the efficacy of filtering under different scenarios: with or without artifacts and/or motor unit synchronization. Our findings indicate that motor unit synchronization took place during WBV as verified by MMU recordings. A harsh filtering regimen along with rectification proved successful in demonstrating motor unit synchronization in SEMG recordings. Our findings were further supported by the results from the computer simulation, which indicated that filtering and rectification was efficient in discriminating motion artifacts from motor unit synchronization. We suggest that the proposed signal processing technique may provide a new methodology to evaluate the effects of vibration treatments using only SEMG. This is a major advantage, as this non-intrusive method is able to overcome movement artifacts and also indicate the synchronization of underlying motor units.
authors.affiliation: Koç University School of Medicine, Istanbul, Turkey.
authors.forename: Oguz
authors.initials: O
authors.lastname: Sebik
authors.forename: Ilhan
authors.initials: I
authors.lastname: Karacan
authors.forename: Muharrem
authors.initials: M
authors.lastname: Cidem
authors.forename: Kemal S
authors.initials: KS
authors.lastname: Türker
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000328:Adult; D000465:Algorithms; D016477:Artifacts; D001369:Axons / Q000502:physiology*; D003936:Diagnosis, Computer-Assisted / Q000379:methods; D004576:Electromyography / Q000379:methods*; D006801:Humans; D008297:Male; D009038:Motion; D009046:Motor Neurons / Q000502:physiology*; D009119:Muscle Contraction / Q000502:physiology*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014732:Vibration