title: Detection of EMG onset in ERP research.
abstract: Many researchers have used off-line techniques for the automatic detection of electromyogram (EMG) onset. However, very little is known about the accuracy of these methods. In the present study, five such methods are evaluated and their accuracy is reported. Five subjects were asked to produce fast (ballistic) and slow (ramp) contractions with thumb and index finger of the right hand in a simple reaction time task. EMG was recorded from the first dorsal interosseus muscle, and onsets were visually determined in the raw EMG. These onsets were compared with the onsets produced by the automated methods on the rectified and low-pass filtered EMG. Four of the automated methods produced very reliable estimates of the visually determined onsets, at least when additional constraints upon the initial estimates were made. Studies using automated methods for EMG onset detection should report findings about their accuracy.
authors.affiliation: Physiological Psychology Section, Tilburg University, The Netherlands.
authors.forename: G J
authors.initials: GJ
authors.lastname: Van Boxtel
authors.forename: L H
authors.initials: LH
authors.lastname: Geraats
authors.forename: M M
authors.initials: MM
authors.lastname: Van den Berg-Lenssen
authors.forename: C H
authors.initials: CH
authors.lastname: Brunia
mesh_terms: D000161:Acoustic Stimulation; D000328:Adult; D000465:Algorithms; D003265:Contingent Negative Variation / Q000502:physiology*; D004569:Electroencephalography; D004576:Electromyography / Q000379:methods*; D005071:Evoked Potentials / Q000502:physiology*; D005260:Female; D006801:Humans; D008297:Male; D009119:Muscle Contraction / Q000502:physiology