Electromyographic Responses during Elbow Movement at Two Angles with Voluntary Contraction: Influences of Muscle Activity on Upper Arm Biceps Brachii

Analysis of Electromyography (EMG) signals generated by individuals is part of human musculoskeletal system research and signals are always influenced by the electrode placement in the muscle. This characteristic is also obvious at Biceps Brachii (BB) muscles during the movement of elbow at different angles. The purpose of this study was to monitor and determine the BB muscle function in 3 conditions: (i) electrodes were placed at 3 locations on the BB, (ii) elbow was fixed at the two angles (90° and 150°) and (iii) isometric contractions were performed to record EMG data. EMG data were obtained from six healthy subjects (n = 6, mean±SD age = 24.4±3.1 years, body mass = 68±6.3 kg, height = 164±4.1 cm, BMI = 21.2±2.3, right arm dominated). A Bluetooth-enabled laptop, wireless EMG sensors, digital dynamometer and angle meter were used for data recording. EMG data were calculated and analyzed by average value, standard deviation, Root Mean Square (RMS) and highest peak of the signal during maximum voluntary contraction. All the dependent variables were calculated using repeated measures Analysis of Variance (ANOVA). The results from the research showed that (i) according to the calculation of average RMS and the maximum peaks of EMG signals, there was a significant difference between 2 angles (p = 0.047, i.e., p<0.05), but no interaction at the same angles when overall average EMG and standard deviation value are considered and (ii) majority of the outcomes showed that EMG activity is higher in the order of middle, upper and lower BB muscle. It is therefore important that electrical signals generated upon different electrode placements and angles on the BB muscle are used for biceps rehabilitation and other physiological measurements on upper arm.

[1]  J Perry,et al.  An EMG analysis of the shoulder in pitching , 1984, The American journal of sports medicine.

[2]  J H Blok,et al.  Surface EMG models: properties and applications. , 2000, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[3]  Carlo J. De Luca,et al.  The Use of Surface Electromyography in Biomechanics , 1997 .

[4]  K. Nishimoto,et al.  Electromyographic Analysis of Shoulder Joint Function of the Biceps Brachii Muscle During Isometric Contraction , 1998, Clinical orthopaedics and related research.

[5]  P. Zipp,et al.  Recommendations for the standardization of lead positions in surface electromyography , 1982, European Journal of Applied Physiology and Occupational Physiology.

[6]  H. Hermens,et al.  European recommendations for surface electromyography: Results of the SENIAM Project , 1999 .

[7]  R. P. Fabio Reliability of computerized surface electromyography for determining the onset of muscle activity. , 1987 .

[8]  P V Komi,et al.  Signal characteristics of EMG at different levels of muscle tension. , 1976, Acta physiologica Scandinavica.

[9]  F. Mohd-Yasin,et al.  Techniques of EMG signal analysis: detection, processing, classification and applications , 2006, Biological Procedures Online.

[10]  William S. Marras Overview of Electromyography in Ergonomics , 2000 .

[11]  Pierre Portero,et al.  Repeatability of surface EMG parameters at various isometric contraction levels and during fatigue using bipolar and Laplacian electrode configurations. , 2005, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[12]  R Merletti,et al.  Repeatability of surface EMG variables during voluntary isometric contractions of the biceps brachii muscle. , 1999, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[13]  M. Watakabe,et al.  Acoustic and electrical activities during voluntary isometric contraction of biceps brachii muscles in patients with spastic cerebral palsy , 1996, Muscle & nerve.

[14]  R. Perini,et al.  Muscular sound and force relationship during isometric contraction in man , 2006, European Journal of Applied Physiology and Occupational Physiology.

[15]  Emer P. Doheny,et al.  SHIMMER™: An extensible platform for physiological signal capture , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[16]  R. Badlishah Ahmad,et al.  Recent Survey of Automated Rehabilitation Systems Using EMG Biosensors , 2011 .

[17]  M. S. Hussain,et al.  Wavelet denoising and Surface Electromyography analysis , 2012 .

[18]  A. Naito,et al.  Electrophysiological studies of muscles in the human upper limb: The biceps brachii , 2004, Anatomical science international.

[19]  H. Hermens,et al.  SENIAM 8: European recommendations for surface electromyography , 1999 .

[20]  Richard Shiavi,et al.  Electromyography: Physiology, Engineering, and Noninvasive Applications [Book Review] , 2006, IEEE Engineering in Medicine and Biology Magazine.

[21]  T. Haider,et al.  Dynamic electromyography to assess elbow spasticity. , 1990, The Journal of hand surgery.

[22]  C. Orizio,et al.  Spectral analysis of muscular sound during isometric contraction of biceps brachii. , 1990, Journal of applied physiology.

[23]  K. Yamaguchi,et al.  Biceps Activity During Shoulder Motion: An Electromyographic Analysis , 1997, Clinical orthopaedics and related research.

[24]  A Eberstein,et al.  Simultaneous measurement of muscle conduction velocity and emg power spectrum changes during fatigue , 1985, Muscle & nerve.

[25]  B. Freriks,et al.  Development of recommendations for SEMG sensors and sensor placement procedures. , 2000, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[26]  C L Webber,et al.  Influence of isometric loading on biceps EMG dynamics as assessed by linear and nonlinear tools. , 1995, Journal of applied physiology.

[27]  Mario Ignacio Chacon Murguia,et al.  EMG Hand Burst Activity Detection Study Based on Hard and Soft Thresholding , 2009, Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition.

[28]  J. S. Leedham,et al.  Force-length, torque-angle and EMG-joint angle relationships of the human in vivo biceps brachii , 2004, European Journal of Applied Physiology and Occupational Physiology.

[29]  G. L. Soderberg,et al.  Electromyography in biomechanics. , 1984, Physical therapy.

[30]  Prakash,et al.  Third head of biceps brachii in an Indian population. , 2007, Singapore medical journal.