Spectral analysis of sEMG signals to investigate skeletal muscle fatigue

Our recent investigations are focused to develop dynamic models for skeletal muscle force and finger angles for prosthetic hand control using surface electromyographic sEMG as input. Since sEMG is temporal and spatially distributed and is influenced by various factors, muscle fatigue and its related sEMG becomes of importance. This study is an effort to spectrally analyze the sEMG signal during progression of muscle fatigue. The sEMG is captured from the arms of healthy subjects during muscle fatiguing experiments for dynamic and static force levels. Filtered sEMG signal is segmented in five parts with 75% overlap between adjacent segments. The analysis is done using different classical (fast Fourier transform, Welch's averaged modified periodogram), model-based (Yule-Walker, Burg, Covariance and Modified Covariance autoregressive (AR) method), and eigenvector methods (Multiple Signal Classification (MUSIC) and eigenvector spectral estimation method) in frequency domain. Results show that the classical and eigenvector based methods are more sensitive than the model-based methods to fatigue related changes in sEMG signals.

[1]  J. Finsterer.  EMG-interference pattern analysis. , 2001, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[2]  Ping Zhou,et al.  Nonlinear Spatial Filtering of Multichannel Surface Electromyogram Signals During Low Force Contractions , 2009, IEEE Transactions on Biomedical Engineering.

[3]  C. J. Luca.  Myoelectrical manifestations of localized muscular fatigue in humans. , 1984 .

[4]  V. Kroupa,et al.  Digital spectral analysis , 1983, Proceedings of the IEEE.

[5]  R. O. Schmidt,et al.  Multiple emitter location and signal Parameter estimation , 1986 .

[6]  J. L. F. Weytjens,et al.  The effects of motor unit synchronization on the power spectrum of the electromyogram , 2004, Biological Cybernetics.

[7]  Thomas M. Cook,et al.  The effect of head position on scapular orientation and muscle activity during shoulder elevation , 2005, Journal of Occupational Rehabilitation.

[8]  Roberto Merletti,et al.  Electromyography. Physiology, engineering and non invasive applications , 2005 .

[9]  M Hagberg,et al.  Electromyographic signs of shoulder muscular fatigue in two elevated arm positions. , 1981, American journal of physical medicine.

[10]  B Gerdle,et al.  Fatigue in the shoulder muscles during static work at two different torque levels. , 1993, Clinical physiology.

[11]  Dario Farina,et al.  Surface Electromyography: a window on the muscle, a glimpse on the central nervous system. , 2001 .

[12]  W Laurig,et al.  Electromyographical study on surgeons in urology. II. Determination of muscular fatigue. , 1996, Ergonomics.

[13]  Barbara Hubbard,et al.  The World According to Wavelets , 1996 .

[14]  Andrew R Karduna,et al.  Effects of shoulder muscle fatigue caused by repetitive overhead activities on scapulothoracic and glenohumeral kinematics. , 2006, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[15]  Frank W. Jobe,et al.  EMG analysis of the scapular muscles during a shoulder rehabilitation program , 1992, The American journal of sports medicine.

[16]  D. Allen,et al.  Cellular mechanisms of skeletal muscle fatigue. , 2003, Advances in experimental medicine and biology.

[17]  Jessica Elert,et al.  Muscular fatigue during repeated isokinetic shoulder forward flexions in young females , 2004, European Journal of Applied Physiology and Occupational Physiology.

[18]  G L Smidt,et al.  Scapulothoracic muscle fatigue associated with alterations in scapulohumeral rhythm kinematics during maximum resistive shoulder elevation. , 1998, The Journal of orthopaedic and sports physical therapy.

[19]  C. D. De Luca,et al.  Myoelectrical manifestations of localized muscular fatigue in humans. , 1984, Critical reviews in biomedical engineering.

[20]  Vladimir Medved,et al.  Standards for Reporting EMG Data , 2000, Journal of Electromyography and Kinesiology.

[21]  R. Johansson,et al.  Reflex origin for the slowing of motoneurone firing rates in fatigue of human voluntary contractions. , 1986, The Journal of physiology.

[22]  T Moritani,et al.  Intramuscular and surface electromyogram changes during muscle fatigue. , 1986, Journal of applied physiology.

[23]  D. Allen,et al.  Role of phosphate and calcium stores in muscle fatigue , 2001, The Journal of physiology.

[24]  B. Maton,et al.  The fatigability of two agonistic muscles in human isometric voluntary submaximal contraction: an EMG study , 2004, European Journal of Applied Physiology and Occupational Physiology.

[25]  R. Enoka.  Morphological Features and Activation Patterns of Motor Units , 1995, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.

[26]  Werner M. Wolf,et al.  The EMG as a Window to the Brain: Signal Processing Tools to Enhance the View , 1996 .

[27]  L G Christova,et al.  Single motor unit activity pattern in patients with Schwartz-Jampel syndrome , 1999, Journal of neurology, neurosurgery, and psychiatry.

[28]  R. Kadefors,et al.  An electromyographic index for localized muscle fatigue. , 1977, Journal of applied physiology: respiratory, environmental and exercise physiology.

[29]  John L. Semmlow,et al.  Biosignal and biomedical image processing : MATLAB-based applications , 2004 .

[30]  Anish Sebastian,et al.  Towards smart prosthetic hand: Adaptive probability based skeletan muscle fatigue model , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[31]  J. S. Petrofsky,et al.  Frequency and amplitude analysis of the EMG during exercise on the bicycle ergometer , 1979, European Journal of Applied Physiology and Occupational Physiology.

[32]  S. Gandevia.  Spinal and supraspinal factors in human muscle fatigue. , 2001, Physiological reviews.

[33]  Håkan Westerblad,et al.  Muscle fatigue: lactic acid or inorganic phosphate the major cause? , 2002, News in physiological sciences : an international journal of physiology produced jointly by the International Union of Physiological Sciences and the American Physiological Society.

[34]  C. K. Yuen,et al.  Digital spectral analysis , 1979 .

[35]  R. Merletti,et al.  Surface EMG signal processing during isometric contractions. , 1997, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[36]  R. Fitts.  Cellular mechanisms of muscle fatigue. , 1994, Physiological reviews.

[37]  D. Allen,et al.  Cellular mechanisms of fatigue in skeletal muscle. , 1991, The American journal of physiology.

[38]  M Hagberg,et al.  Muscular endurance and surface electromyogram in isometric and dynamic exercise. , 1981, Journal of applied physiology: respiratory, environmental and exercise physiology.

[39]  Paavo V. Komi,et al.  EMG frequency spectrum, muscle structure, and fatigue during dynamic contractions in man , 1979, European Journal of Applied Physiology and Occupational Physiology.

[40]  Peter W. Johnson,et al.  Electromyographic activity of the human extensor carpi ulnaris muscle changes with exposure to repetitive ulnar deviation , 2002, European Journal of Applied Physiology.

[41]  Don H. Johnson,et al.  Array Signal Processing: Concepts and Techniques , 1993 .