tailieunhanh - báo cáo khoa học: "Reliability of the biceps brachii M-wave"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Reliability of the biceps brachii M-wave | Journal of NeuroEngineering and Rehabilitation BioMed Central Research Open Access Reliability of the biceps brachii M-wave Kristina M Calder Lesley-Ann Hall Steve M Lester J Greig Inglis and David A Gabriel Address Electromyographic Kinesiology Laboratory Faculty of Applied Helath Science Brock University 500 Glenridge Avenue Ontario L2S 3A1 Canader Email Kristina M Calder - calderkristina@ Lesley-Ann Hall - Lesleyann_hall@ Steve M Lester - smlester@ J Greig Inglis - ginglis@ David A Gabriel - Corresponding author Published 06 December 2005 Received 28 December 2004 Journal of NeuroEngineering and Rehabilitation 2005 2 33 doi 1743-0003-2-33 Accepted 06 December 2005 This article is available from http content 2 1 33 2005 Calder et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background The peak-to-peak P-P amplitude of the maximum M-wave and the area of the negative phase of the curve are important measures that serve as methodological controls in H-reflex studies motor unit number estimation MUNE procedures and normalization factors for voluntary electromyographic EMG activity. These methodologies assume with little evidence that M-wave variability is minimal. This study therefore examined the intraclass reliability of these measures for the biceps brachii. Methods Twenty-two healthy adults 4 males and 18 females participated in 5 separate days of electrical stimulation of the musculocutaneous nerve supplying the biceps brachii muscle. A total of 10 stimulations were recorded on each of the 5 test sessions a total of fifty trials were used for analysis. A two-factor repeated measures analysis of .

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