TY - JOUR
T1 - Within-day and between-days reliability of quadriceps isometric muscle fatigue using mechanomyography on healthy subjects
AU - Al-Zahrani, Edan
AU - Gunasekaran, Chandrasekaran
AU - Callaghan, Michael
AU - Gaydecki, Patrick
AU - Benitez, Diego
AU - Oldham, Jackie
N1 - Funding Information:
The authors thank Dr. Steve Roberts for statistical advice and the Manchester Wellcome Trust Clinical Research Facility for allowing the use of their equipment and facilities. Edan Al-Zahrani , graduated in physiotherapy from King Saud University, Riyadh, Saudi in 1992. He received his M.Sc. from the University of Manchester, UK in 2001. He is currently a Ph.D. student in the Centre for Rehabilitation Science at the University of Manchester. His current research interests are in evaluating non-invasive outcome measures for assessing muscle fatigue in patients with musculo-skeletal disorders. Chandrasekaran Gunasekaran is a 5th year medical student undertaking a double degree (MBBS, B.Med Sci) at The University of Melbourne, Australia. He completed a year of research (Advanced Medical Science) as part of his B.Med Sci at the Centre of Rehabilitation Science, University of Manchester. His research interests for his thesis were rehabilitation, mechanomyography and muscle fatigue. Dr. Michael Callaghan , a physiotherapist, joined the Centre for Rehabilitation Science in 1997 and has since been awarded his Ph.D. Michael has extensive experience in the assessment of lower limb function and was the Manager of the Human Performance Laboratories within the Manchester Welcome Trust Clinical Research Facility for a short period of time. He has extensive clinical and research experience both in the health science and sports arenas. He was physiotherapist to the British Olympic Cycling Team and responsible for the physiotherapy clinic at the Manchester Velodrome. He is currently funded by the Department of Health on a National Post-Doctorate Fellowship for 75% of his time, spending the other 25% as a Clinical Specialist in the Physiotherapy Department at Manchester Royal Infirmary. Prof. Patrick Gaydecki was awarded his Ph.D. from Cranfield University in the UK in 1985. He is now Professor of Digital Signal Processing in the School of Electrical and Electronic Engineering at the University of Manchester. He is a Fellow of the Institute of Electrical Engineers, a Senior Member of the Institute of Electrical and Electronics Engineers and a Member of the Institute of Physics. His previous collaborations with hospital clinical colleagues have involved the automated analysis of cardiovascular and autonomic function in the study of vasovagal syncope and the monitoring of acceleration levels experienced by preterm neonates during emergency transportation. Dr. Diego Benitez was awarded his Ph.D. at the University of Manchester, UK in 2001 under the supervision of Professor Patrick Gaydecki. He designed and installed novel software for the processing and analysis of the MMG signals for this study. Prof. Jackie Oldham undertook her undergraduate and postgraduate qualifications in Physiology at Liverpool University. She also holds an RGN in nursing from Liverpool University. Throughout her career she has maintained and developed a specific interest in rehabilitation science. This has culminated in the establishment of the Centre for Rehabilitation Science in 1996. In addition to her role as Director of the Centre, Professor Oldham is Operational Director of the Manchester Welcome Trust Clinical Research Facility. Professor Oldham supports a team of physiotherapy and sports science researchers from Masters to Postdoctoral level and beyond. She has extensive experience in all aspects of quantitative research and methodological approaches supporting the evaluation of rehabilitation strategies.
PY - 2009/8
Y1 - 2009/8
N2 - This study aimed to examine within-day and between-days intratester reliability of mechanomyography (MMG) in assessing muscle fatigue. An accelerometer was used to detect the MMG signal from rectus femoris. Thirty one healthy subjects (15 males) with no prior knee problems initially performed three maximum voluntary contractions (MVCs) using an ISOCOM dynamometer. After 10 min rest, subjects performed a fatiguing protocol in which they performed three isometric knee extensions at 75% MVC for 40 s. The fatiguing protocol was repeated on two other days, two to four days apart for between-days reliability. MMG activity was determined by overall root mean squared amplitude (RMS), mean power frequency (MPF) and median frequency (MF) during a 40 s contraction. RMS, MPF and MF linear regression slopes were also analysed. Intraclass Correlation Coefficients (ICC); ICC1,1 and ICC1,2 were used to assess within-day reliability and between-days reliability respectively. Standard error of measurement (SEM) and smallest detectable difference (SDD) described the within-subjects variability. MMG fatigue measures using linear regression slopes showed low reliability and large between-days error (ICC1,2 = 0.43-0.46; SDD = 306.0-324.8% for MPF and MF slopes respectively). Overall MPF and MF, on the other hand, were reliable with high ICCs and lower SDDs compared to linear slopes (ICC1,2 = 0.79-0.83; SDD = 21.9-22.8% for MPF and MF respectively). ICC1,2 for overall MMG RMS and linear RMS slopes were 0.81 and 0.66 respectively; however, the SDDs were high (56.4% and 268.8% respectively). The poor between-days reliability found in this study suggests caution in using MMG RMS, MPF and MF and their corresponding slopes in assessing muscle fatigue.
AB - This study aimed to examine within-day and between-days intratester reliability of mechanomyography (MMG) in assessing muscle fatigue. An accelerometer was used to detect the MMG signal from rectus femoris. Thirty one healthy subjects (15 males) with no prior knee problems initially performed three maximum voluntary contractions (MVCs) using an ISOCOM dynamometer. After 10 min rest, subjects performed a fatiguing protocol in which they performed three isometric knee extensions at 75% MVC for 40 s. The fatiguing protocol was repeated on two other days, two to four days apart for between-days reliability. MMG activity was determined by overall root mean squared amplitude (RMS), mean power frequency (MPF) and median frequency (MF) during a 40 s contraction. RMS, MPF and MF linear regression slopes were also analysed. Intraclass Correlation Coefficients (ICC); ICC1,1 and ICC1,2 were used to assess within-day reliability and between-days reliability respectively. Standard error of measurement (SEM) and smallest detectable difference (SDD) described the within-subjects variability. MMG fatigue measures using linear regression slopes showed low reliability and large between-days error (ICC1,2 = 0.43-0.46; SDD = 306.0-324.8% for MPF and MF slopes respectively). Overall MPF and MF, on the other hand, were reliable with high ICCs and lower SDDs compared to linear slopes (ICC1,2 = 0.79-0.83; SDD = 21.9-22.8% for MPF and MF respectively). ICC1,2 for overall MMG RMS and linear RMS slopes were 0.81 and 0.66 respectively; however, the SDDs were high (56.4% and 268.8% respectively). The poor between-days reliability found in this study suggests caution in using MMG RMS, MPF and MF and their corresponding slopes in assessing muscle fatigue.
KW - MMG
KW - Mechanomyography
KW - Muscle fatigue
KW - Rectus femoris
KW - Reliability
UR - https://www.scopus.com/pages/publications/67349122633
U2 - 10.1016/j.jelekin.2007.12.007
DO - 10.1016/j.jelekin.2007.12.007
M3 - Artículo
C2 - 18294866
AN - SCOPUS:67349122633
SN - 1050-6411
VL - 19
SP - 695
EP - 703
JO - Journal of Electromyography and Kinesiology
JF - Journal of Electromyography and Kinesiology
IS - 4
ER -