Surface electromyography and muscle force: limits in sEMG-force relationship and new approaches for applications.

The estimation of the force generated by an activated muscle is of high relevance not only in biomechanical studies but also more and more in clinical applications in which the information about the muscle forces supports the physician's decisions on diagnosis and treatment. The surface electromyographic signal (sEMG) reflects the degree of activation of skeletal muscles and certain that the sEMG is highly correlated to the muscle force. However, the largest disadvantage in predicting the muscle force from sEMG is the fact that the force generated by a muscle cannot be directly measured non-invasively. Indirect measurement of muscle force goes along with other unpredictable factors which influence the detected force but not necessarily the sEMG data. In addition, the sEMG is often difficult to interpret correctly. The sEMG-force relationship has been investigated for a long time and numerous papers are available. This review shows the limitations in predicting the muscle force from sEMG signals and gives some perspectives on how these limitations could be overcome, especially in clinical applications, by using novel ways of interpretation.

[1]  P. Komi,et al.  Maximal force during eccentric and isometric actions at different elbow angles , 2006, European Journal of Applied Physiology.

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

[3]  Maysam F. Abbod,et al.  A survey of fuzzy logic monitoring and control utilisation in medicine , 2001, Artif. Intell. Medicine.

[4]  G Rau,et al.  From cell to movement: to what answers does EMG really contribute? , 2004, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[5]  Günter Rau,et al.  Quantifizierung des Crosstalk-Anteils in Oberflächen-Elektromyogrammen , 2006 .

[6]  L. Lindstrom,et al.  Muscular fatigue and action potential conduction velocity changes studied with frequency analysis of EMG signals. , 1970, Electromyography.

[7]  G. Rau,et al.  Surface Electromyography in Relation to Force, Muscle Length and Endurance , 1973 .

[8]  J Perry,et al.  EMG-force relationships in skeletal muscle. , 1981, Critical reviews in biomedical engineering.

[9]  J. Vredenbregt,et al.  EMG : force relationships during voluntary static contractions (M. biceps) , 1973 .

[10]  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.

[11]  J. Basmajian Muscles Alive—their functions revealed by electromyography , 1963 .

[12]  M. Hulliger,et al.  EMG-force relationship of the cat soleus muscle studied with distributed and non-periodic stimulation of ventral root filaments. , 1994, The Journal of experimental biology.

[13]  Morrenhof Jw,et al.  Cross-correlation and cross-talk in surface electromyography. , 1985 .

[14]  M. Solomonow,et al.  Surface and wire EMG crosstalk in neighbouring muscles. , 1994, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[15]  R. Shiavi,et al.  Representing and clustering electromyographic gait patterns with multivariate techniques , 1981, Medical and Biological Engineering and Computing.

[16]  E. H. Mamdani,et al.  An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller , 1999, Int. J. Man Mach. Stud..

[17]  J. Desmedt,et al.  New Developments in Electromyography and Clinical Neurophysiology , 1973 .

[18]  Günther Rau,et al.  Design and validation of an intelligent patient monitoring and alarm system based on a fuzzy logic process model , 1997, Artif. Intell. Medicine.

[19]  C. D. De Luca,et al.  Surface myoelectric signal cross-talk among muscles of the leg. , 1988, Electroencephalography and clinical neurophysiology.

[20]  O. Lippold,et al.  The relation between force, velocity and integrated electrical activity in human muscles , 1954, The Journal of physiology.

[21]  Nabil Belacel,et al.  Multicriteria fuzzy assignment method: a useful tool to assist medical diagnosis , 2001, Artif. Intell. Medicine.

[22]  M Solomonow,et al.  The EMG-force relationships of skeletal muscle; dependence on contraction rate, and motor units control strategy. , 1990, Electromyography and clinical neurophysiology.

[23]  Catherine Disselhorst-Klug,et al.  Interpretation of surface EMGs in children with cerebral palsy: An initial study using a fuzzy expert system , 2006, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

[24]  C. Hanson,et al.  Artificial intelligence applications in the intensive care unit , 2001, Critical care medicine.

[25]  P V Komi,et al.  Effect of eccentric and concentric muscle conditioning on tension and electrical activity of human muscle. , 1972, Ergonomics.

[26]  J. Saunders,et al.  Relation of human electromyogram to muscular tension. , 1952, Electroencephalography and clinical neurophysiology.

[27]  H. Devries MUSCLES ALIVE-THEIR FUNCTIONS REVEALED BY ELECTROMYOGRAPHY , 1976 .

[28]  Dario Farina,et al.  Surface EMG crosstalk between knee extensor muscles: Experimental and model results , 2002, Muscle & nerve.

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

[30]  O. A. Nikitin,et al.  Neither high-pass filtering nor mathematical differentiation of the EMG signals can considerably reduce cross-talk. , 2002, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[31]  J W Morrenhof,et al.  Cross-correlation and cross-talk in surface electromyography. , 1985, Electromyography and clinical neurophysiology.

[32]  J. Perry,et al.  Pattern recognition of multiple EMG signals applied to the description of human gait , 1977, Proceedings of the IEEE.

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

[34]  M. Grabiner,et al.  Evaluation of methods to minimize cross talk in surface electromyography. , 1993, Journal of biomechanics.