Analysis of linear electrode array EMG for assessment of hemiparetic biceps brachii muscles

This study presents a frequency analysis of surface electromyogram (EMG) signals acquired by a linear electrode array from the biceps brachii muscles bilaterally in 14 hemiparetic stroke subjects. For different levels of isometric contraction ranging from 10 to 80% of the maximum voluntary contraction (MVC), the power spectra of 19 bipolar surface EMG channels arranged proximally to distally along the muscle fibers were examined in both paretic and contralateral muscles. It was found that across all stroke subjects, the median frequency (MF) and the mean power frequency (MPF), averaged from different surface EMG channels, were significantly smaller in the paretic muscle compared to the contralateral muscle at each of the matched percent MVC contractions. The muscle fiber conduction velocity (MFCV) was significantly slower in the paretic muscle than in the contralateral muscle. No significant correlation between the averaged MF, MPF, or MFCV vs. torque was found in both paretic and contralateral muscles. However, there was a significant positive correlation between the global MFCV and MF. Examination of individual EMG channels showed that electrodes closest to the estimated muscle innervation zones produced surface EMG signals with significantly higher MF and MPF than more proximal or distal locations in both paretic and contralateral sides. These findings suggest complex central and peripheral neuromuscular alterations (such as selective loss of large motor units, disordered control of motor units, increased motor unit synchronization, and atrophy of muscle fibers, etc.) which can collectively influence the surface EMG signals. The frequency difference with regard to the innervation zone also confirms the relevance of electrode position in surface EMG analysis.

[1]  H. Hermens,et al.  Motor unit properties in the biceps brachii of chronic stroke patients assessed with high-density surface EMG , 2009, 2009 4th International IEEE/EMBS Conference on Neural Engineering.

[2]  A R Upton,et al.  Motoneurone dysfunction in patients with hemiplegic atrophy. , 1971, Nature: New biology.

[3]  S. Beniczky,et al.  Large motor units are selectively affected following a stroke , 2008, Clinical Neurophysiology.

[4]  Richard W. Bohannon,et al.  Distribution of muscle strength impairments following stroke , 2000, Clinical rehabilitation.

[5]  J. Holzner,et al.  Atlas of Heart Disease , 1983 .

[6]  L. Arendt-Nielsen,et al.  The relationship between mean power frequency of the EMG spectrum and muscle fibre conduction velocity. , 1985, Electroencephalography and clinical neurophysiology.

[7]  Xun Niu,et al.  Power spectral analysis of surface electromyography (EMG) at matched contraction levels of the first dorsal interosseous muscle in stroke survivors , 2014, Clinical Neurophysiology.

[8]  D. Farina,et al.  Effect of joint angle on EMG variables in leg and thigh muscles , 2001, IEEE Engineering in Medicine and Biology Magazine.

[9]  T Moritani,et al.  Surface EMG power spectral analysis of neuromuscular disorders during isometric and isotonic contractions. , 1982, American journal of physical medicine.

[10]  S. Beniczky,et al.  Changes in muscle fiber density following a stroke , 2009, Clinical Neurophysiology.

[11]  Travis W. Beck,et al.  The influence of electrode shift over the innervation zone and normalization on the electromyographic amplitude and mean power frequency versus isometric torque relationships for the vastus medialis muscle , 2008, Journal of Neuroscience Methods.

[12]  T. Masuda,et al.  Relationships between muscle fibre conduction velocity and frequency parameters of surface EMG during sustained contraction , 1983, European Journal of Applied Physiology and Occupational Physiology.

[13]  C. Pattichis,et al.  Surface EMG analysis on normal subjects based on isometric voluntary contraction. , 2009, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[14]  D F Stegeman,et al.  Relation between muscle fiber conduction velocity and fiber size in neuromuscular disorders. , 2006, Journal of applied physiology.

[15]  J. Broderick,et al.  The Greater Cincinnati/Northern Kentucky Stroke Study: preliminary first-ever and total incidence rates of stroke among blacks. , 1998, Stroke.

[16]  H. Nazeran,et al.  Reducing power line interference in digitised electromyogram recordings by spectrum interpolation , 2004, Medical and Biological Engineering and Computing.

[17]  Relation between muscle fiber conduction velocity and exerted dynamic characteristics of muscular tension in patients with hemiplegia caused by stroke , 2016, Journal of physical therapy science.

[18]  Kai-yu Tong,et al.  The mechanomyography of persons after stroke during isometric voluntary contractions. , 2007, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[19]  Gea Drost,et al.  Clinical applications of high-density surface EMG: a systematic review. , 2006, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[20]  T. Moritani,et al.  Motor unit activity and surface electromyogram power spectrum during increasing force of contraction , 2004, European Journal of Applied Physiology and Occupational Physiology.

[21]  D. Beevers,et al.  The atlas of heart disease and stroke , 2005, Journal of Human Hypertension.

[22]  A. Pistorio,et al.  Myoelectric manifestations of muscle changes in stroke patients. , 2001, Archives of physical medicine and rehabilitation.

[23]  R Merletti,et al.  Non-invasive assessment of motor unit properties with linear electrode arrays. , 1997, Electroencephalography and clinical neurophysiology. Supplement.

[24]  D. Farina,et al.  Analysis of motor units with high-density surface electromyography. , 2008, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[25]  Xiaoyan Li,et al.  Examination of Poststroke Alteration in Motor Unit Firing Behavior Using High-Density Surface EMG Decomposition , 2015, IEEE Transactions on Biomedical Engineering.

[26]  Joseph P Weir,et al.  MECHANOMYOGRAPHIC AND ELECTROMYOGRAPHIC RESPONSES OF THE VASTUS MEDIALIS MUSCLE DURING ISOMETRIC AND CONCENTRIC MUSCLE ACTIONS , 2005, Journal of strength and conditioning research.

[27]  W. Rymer,et al.  Characteristics of motor unit discharge in subjects with hemiparesis , 1995, Muscle & nerve.

[28]  R Merletti,et al.  Comparison of algorithms for estimation of EMG variables during voluntary isometric contractions. , 2000, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

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

[30]  L. Cohen,et al.  Influence of interhemispheric interactions on motor function in chronic stroke , 2004, Annals of neurology.

[31]  D. Farina,et al.  The linear electrode array: a useful tool with many applications. , 2003, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.