Reliability of Surface Electromyography From the Lower-limb Muscles During Maximal and Submaximal Voluntary Isometric Contractions in In-bed Healthy Individuals and Patients With Subacute Stroke
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
This study aims to develop maximal voluntar y isometric contraction (MVIC) and submaximal voluntar y isometric contraction (subMVIC) methods and to assess the reliability of the developed methods for in-bed healthy individuals and patients with subacute stroke. The electromyography (EMG) activities from the lower-limb muscles including the tensor fascia lata (TFL), rectus femoris (RF), tibialis anterior (TA), and gastrocnemius (GC) on both sides were recorded during MVIC and subMVIC using surface EMG sensors in 20 healthy individuals and 20 subacute stroke patients. In inter-trial reliability, both MVIC and subMVIC methods demonstrated excellent reliability for all the measured muscles at baseline and follow-up evaluations in both healthy individuals and stroke patients. In inter-day reliability, MVIC showed good reliability for the TFL and moderate reliability for the RF, TA, and GC, while subMVIC showed good reliability for the TFL, RF, and GC and poor reliability for the TA in healthy individuals. In conclusion, the MVIC and subMVIC methods of EMG activities were feasible in in-bed healthy individuals and patients with subacute stroke. The results can ser ve as a basis for the clinical evaluation of muscular activities using quantitative EMG signals on the lower-limb muscles in stroke patients with impaired mobility.
Abstract
This study aims to develop maximal voluntar y isometric contraction (MVIC) and submaximal voluntar y isometric contraction (subMVIC) methods and to assess the reliability of the developed methods for in-bed healthy individuals and patients with subacute stroke. The electromyography (EMG) activities from the lower-limb muscles including the tensor fascia lata (TFL), rectus femoris (RF), tibialis anterior (TA), and gastrocnemius (GC) on both sides were recorded during MVIC and subMVIC using surface EMG sensors in 20 healthy individuals and 20 subacute stroke patients. In inter-trial reliability, both MVIC and subMVIC methods demonstrated excellent reliability for all the measured muscles at baseline and follow-up evaluations in both healthy individuals and stroke patients. In inter-day reliability, MVIC showed good reliability for the TFL and moderate reliability for the RF, TA, and GC, while subMVIC showed good reliability for the TFL, RF, and GC and poor reliability for the TA in healthy individuals. In conclusion, the MVIC and subMVIC methods of EMG activities were feasible in in-bed healthy individuals and patients with subacute stroke. The results can ser ve as a basis for the clinical evaluation of muscular activities using quantitative EMG signals on the lower-limb muscles in stroke patients with impaired mobility.
참고문헌 (29)
- Boukhennoufa I, "Wearable sensors and machine learning in post-stroke rehabilitation assessment : a systematic review", Biomed Signal Process Control, 71, pp.103197~ (2022)
- Peters DM, "Utilization of wearable technology to assess gait and mobility post-stroke : a systematic review", J Neuroeng Rehabil, 18, pp.67~ (2021)
- Steele KM, "Muscle activity after stroke : perspectives on deploying surface electromyography in acute care", Front Neurol, 11, pp.576757~ (2020)
- Tang W, "Surface electromyographic examination of poststroke neuromuscular changes in proximal and distal muscles using clustering index analysis", Front Neurol, 8, pp.731~ (2018)
- Yoo YJ, "Assessment of lower limb motor function, ambulation, and balance after stroke", Brain Neurorehabil, 15, pp.e17~ (2022)
- Maceira-Elvira P, "Wearable technology in stroke rehabilitation : towards improved diagnosis and treatment of upper-limb motor impairment", J Neuroeng Rehabil, 16, pp.142~ (2019)
- Al-Ayyad M, "Electromyography monitoring systems in rehabilitation : a review of clinical applications, wearable devices and signal acquisition methodologies", Electronics(Basel), 12, pp.1520~ (2023)
- Chowdhury RH, "Surface electromyography signal processing and classification techniques", Sensors(Basel), 13, pp.12431~12466 (2013)
- Cronin NJ, "Spatial variability of muscle activity during human walking : the effects of different EMG normalization approaches", Neuroscience, 300, pp.19~28 (2015)
- Reaz MBI, "Techniques of EMG signal analysis : detection, processing, classification and applications", Biol Proced Online, 8, pp.11~35 (2006)
- Chalard A, "Impact of the EMG normalization method on muscle activation and the antagonist-agonist co-contraction index during active elbow extension : practical implications for post-stroke subjects", J Electromyogr Kinesiol, 51, pp.102403~ (2020)
- Gagnat Y, "Surface electromyography normalization affects the interpretation of muscle activity and coactivation in children with cerebral palsy during walking", Front Neurol, 11, pp.202~ (2020)
- Hsu WL, "An alternative test of electromyographic normalization in patients", Muscle Nerve, 33, pp.232~241 (2006)
- Campanini I, "Surface EMG in clinical assessment and neurorehabilitation : barriers limiting its use", Front Neurol, 11, pp.934~ (2020)
- Rasool G, "Spatial analysis of multichannel surface EMG in hemiplegic stroke", IEEE Trans Neural Syst Rehabil Eng, 25, pp.1802~1811 (2017)
- Tabard-Fougère A, "EMG normalization method based on grade 3 of manual muscle testing : within-and between-day reliability of normalization tasks and application to gait analysis", Gait Posture, 60, pp.6~12 (2018)
- Norcross MF, "Reliability and interpretation of single leg stance and maximum voluntary isometric contraction methods of electromyography normalization", J Electromyogr Kinesiol, 20, pp.420~425 (2010)
- Besomi M, "Consensus for experimental design in electromyography(CEDE)project : electrode selection matrix", J Electromyogr Kinesiol, 48, pp.128~144 (2019)
- Hermens HJ, "Development of recommendations for SEMG sensors and sensor placement procedures", J Electromyogr Kinesiol, 10, pp.361~374 (2000)
- Franettovich MM, "A comparison of augmented low-Dye taping and ankle bracing on lower limb muscle activity during walking in adults with flat-arched foot posture", J Sci Med Sport, 15, pp.8~13 (2012)
- Lee JH, "Differences in the muscle activities of the quadriceps femoris and hamstrings while performing various squat exercises", BMC Sports Sci Med Rehabil, 14, pp.12~ (2022)
- Rainoldi A, "A method for positioning electrodes during surface EMG recordings in lower limb muscles", J Neurosci Methods, 134, pp.37~43 (2004)
- Hampel FR, "The influence curve and its role in robust estimation", J Am Stat Assoc, 69, pp.383~393 (1974)
- Fratini A, "Muscle motion and EMG activity in vibration treatment", Med Eng Phys, 31, pp.1166~1172 (2009)
- St-Amant Y, "Influence of smoothing window length on electromyogram amplitude estimates", IEEE Trans Biomed Eng, 45, pp.795~799 (1998)
- Koo TK, "A guideline of selecting and reporting intraclass correlation coefficients for reliability research", J Chiropr Med, 15, pp.155~163 (2016)
- Lo-Fangel S, "Quadriceps muscle activity, weight-loading and patient experiences during two different pivot transfers in subacute stroke patients : a randomised controlled pilot study", Int J Phys Med Rehabil, 6, pp.476~ (2018)
- Dankaerts W, "Reliability of EMG measurements for trunk muscles during maximal and sub-maximal voluntary isometric contractions in healthy controls and CLBP patients", J Electromyogr Kinesiol, 14, pp.333~342 (2004)
- Lee SY, "Comparison of maximum voluntary isometric contraction of the biceps on various posture and respiration conditions for normalization of electromyography data", J Phys Ther Sci, 28, pp.3007~3010 (2016)
