title: Discharge patterns of spontaneous activity and motor units on concentric needle electromyography.
abstract: We analyzed discharge patterns in electromyograms of 6 patients with complete nerve lesions and of 26 healthy subjects, in order to better differentiate between pathological and physiological spontaneous electromyographic (EMG) activity. Within 1639 trains of action potentials, the intervals between at least five successive discharges were measured. Discharge regularity was evaluated with three different algorithms. At 99% specificity, an abnormal discharge pattern was identified with 91 to 95% sensitivity, depending on the algorithm used. Analysis of as few as four successive interdischarge intervals allowed reliable differentiation between normal and pathological spontaneous EMG activity.
authors.affiliation: Neurologische Klinik und Poliklinik, Martin-Luther-Universität, Ernst-Grube-Str. 40, D-06097 Halle a. d. Saale, Germany. mattler@medizin.uni-halle.de
authors.forename: W J
authors.initials: WJ
authors.lastname: Schulte-Mattler
authors.forename: D
authors.initials: D
authors.lastname: Georgiadis
authors.forename: S
authors.initials: S
authors.lastname: Zierz
mesh_terms: D000200:Action Potentials; D000293:Adolescent; D000328:Adult; D000465:Algorithms; D002648:Child; D004576:Electromyography / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009046:Motor Neurons / Q000502:physiology; D018482:Muscle, Skeletal / Q000294:innervation / Q000503:physiopathology*; D059348:Peripheral Nerve Injuries; D010525:Peripheral Nerves / Q000503:physiopathology*; D011237:Predictive Value of Tests; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted