Comparison of Independence of Triceps Brachii and Biceps Brachii Between Paretic and Non-paretic Side During Different MVCs—A Case Study
Stroke is one of the major causes of permanent disability in adults. Physical training and rehabilitation help stroke survivors to carry out their day-to-day tasks. Surface electromyography (sEMG) has been widely used for stroke rehabilitation and assessment of muscle activities for different force levels. In this regard, it is very important to know the function and differences between various muscles involved in the stroke rehabilitation process. Hence, this study investigated the independence between biceps and triceps brachii for paretic and non-paretic sides during different muscle voluntary contractions (MVCs). Source separation technique using independent component analysis (ICA) and time domain features such as root mean square (RMS), mean absolute value (MAV), and integrated absolute value (IAV) were used to measure the muscle activities. The results show that biceps brachii muscles are more independent than triceps brachii muscles for different MVCs. The findings of this study could be used for measuring independence between muscles, which would help to identify and treat the specific muscle during stroke rehabilitation procedures.
KeywordsStroke rehabilitation Electromyography Independent component analysis RMS Triceps brachii Biceps brachii
- 3.Criswell, E.: Cram’s Introduction to Surface Electromyography. Jones & Bartlett Publishers (2010)Google Scholar
- 5.Farina, D., Jiang, N., Rehbaum, H., Holobar, A., Graimann, B., Dietl, H., Aszmann, O.C.: The extraction of neural information from the surface EMG for the control of upper-limb prostheses: emerging avenues and challenges. IEEE Trans. Neural Syst. Rehabil. Eng. 22, 797–809 (2014)CrossRefGoogle Scholar
- 6.Hermens, H.J., et al.: European recommendations for surface electromyography. Roessingh Res. Dev. 8, 13–54 (1999)Google Scholar
- 15.Song, R., Tong, K.Y.: EMG and kinematic analysis of sensorimotor control for patients after stroke using cyclic voluntary movement with visual feedback. J. Neuroeng. Rehabil. 10, 1 (2013)Google Scholar
- 17.Woodford, H., Price, C.: EMG biofeedback for the recovery of motor function after stroke. Cochrane Database Syst. Rev. 2 (2007)Google Scholar