caa a22 4500 467942439 CHVBK 20180406153017.0 cr unu---uuuuu 170328e20060501xx s 000 0 eng 10.1007/s00421-006-0162-4 doi (NATIONALLICENCE)springer-10.1007/s00421-006-0162-4 Using myoelectric signal parameters to distinguish between computer workers with and without trapezius myalgia [Elektronische Daten] [N. Goudy, L. McLean] Complaints of chronic trapezius muscle pain among computer workers have increased in prevalence during the last decade. Currently there is no clear understanding of the pathophysiological mechanisms involved in affected muscles. The major objective of this work was to determine if measurable electrophysiological differences exist between the trapezius muscles in individuals suffering from trapezius myalgia (TM) and occupation-matched pain-free control subjects. Myoelectric signal (MES) data were recorded from the upper trapezius muscle while subjects with and without myalgia performed a standardized series of postural and arm-holding tasks. MES variables reflecting muscle fatigue, muscle tension and motor control strategies were analyzed to determine their potential ability to distinguish between the two groups. One variable, RestTime, was found to be significantly different between the groups but it was not specific enough to predict group association. A multivariate logistic regression analysis yielded a model that separated the two groups with better than 70% sensitivity and 70% specificity. The variables included in the model reflect differences in trapezius muscle activity between the groups, particularly related to motor control and/or active muscle tension, but not fatigue. The model was tested using a small sample of new data, which again produced a good sensitivity (85.7%) but not specificity (42.9%). To the authors' knowledge, this is the first objective MES-based model that has successfully classified subjects with or without TM based on a simple clinical test. Further work with this model might result in understanding the pathophysiology of TM, assisting with clinical diagnosis, and testing the effect of various treatment interventions. Springer-Verlag, 2006 Shoulder/neck pain nationallicence Repetitive strain injury nationallicence Electromyography nationallicence Computer workers nationallicence Fatigue nationallicence Trapezius myalgia nationallicence Goudy N. School of Rehabilitation Therapy, Queens University, 31 George Street, K7L 3N6, Kingston, ON, Canada aut McLean L. School of Rehabilitation Therapy, Queens University, 31 George Street, K7L 3N6, Kingston, ON, Canada aut European Journal of Applied Physiology Springer-Verlag 97/2(2006-05-01), 196-209 1439-6319 97:2<196 2006 97 421 https://doi.org/10.1007/s00421-006-0162-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00421-006-0162-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Goudy N. School of Rehabilitation Therapy, Queens University, 31 George Street, K7L 3N6, Kingston, ON, Canada aut NATIONALLICENCE 700 1- McLean L. School of Rehabilitation Therapy, Queens University, 31 George Street, K7L 3N6, Kingston, ON, Canada aut NATIONALLICENCE 773 0- European Journal of Applied Physiology Springer-Verlag 97/2(2006-05-01), 196-209 1439-6319 97:2<196 2006 97 421 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer