Electromyographical Recordings During Vibration

Surface or intramuscular electromyography (EMG) is used to record motor unit action potentials during skeletal muscle activation. The fidelity of the EMG parameters depends on numerous intrinsic and extrinsic factors summarized in this chapter. Additional motion artefacts due to vibration-induced high accelerations can influence the electronic properties of the EMG system and the electrode-skin interface. These accelerations can also excite the muscle spindles and modulate motor units’ activation by locking their firing rates to the vibration frequency via spinal and supraspinal pathways. Therefore, conventional filtering approaches are not appropriate for studying the effects of vibration on muscle activation. This chapter outlines some preventative measures to improve the signal-to-noise ratio during recording. An off-line data processing method combining high-pass filtering with full-wave rectification for discriminating the motor unit action potentials from motion artefacts is also presented. This method has been validated against intramuscular and simulated EMG recordings and allows the reliable study of vibration benefits for training and rehabilitation.

[1]  Maria Romano,et al.  Relevance of motion artifact in electromyography recordings during vibration treatment. , 2009, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[2]  Jari Hyttinen,et al.  A motion artifact generation and assessment system for the rapid testing of surface biopotential electrodes. , 2015, Physiological measurement.

[3]  Mikhail Kuznetsov,et al.  Filtering the surface EMG signal: Movement artifact and baseline noise contamination. , 2010, Journal of biomechanics.

[4]  A. Johansson,et al.  Electro-mechanical stability of surface EMG sensors , 2007, Medical & Biological Engineering & Computing.

[5]  Ilhan Karacan,et al.  Rectification of SEMG as a tool to demonstrate synchronous motor unit activity during vibration. , 2013, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[6]  R. Woledge,et al.  Effects of whole body vibration on motor unit recruitment and threshold. , 2012, Journal of applied physiology.

[7]  William H Paloski,et al.  Variation in neuromuscular responses during acute whole-body vibration exercise. , 2007, Medicine and science in sports and exercise.

[8]  Muhammad Zahak Jamal Signal Acquisition Using Surface EMG and Circuit Design Considerations for Robotic Prosthesis , 2012 .

[9]  J. Webster,et al.  Minimizing Electrode Motion Artifact by Skin Abrasion , 1977, IEEE Transactions on Biomedical Engineering.

[10]  E L Morin,et al.  Sampling, noise-reduction and amplitude estimation issues in surface electromyography. , 2002, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[11]  D Farina,et al.  Compensation of the effect of sub-cutaneous tissue layers on surface EMG: a simulation study. , 1999, Medical engineering & physics.

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

[13]  H. Clamann Statistical analysis of motor unit firing patterns in a human skeletal muscle. , 1969, Biophysical journal.

[14]  Dario Farina,et al.  The extraction of neural strategies from the surface EMG: an update. , 2014, Journal of applied physiology.

[15]  T S Miles,et al.  Identification of movement artefacts in electromyograph recordings. , 1982, Electromyography and clinical neurophysiology.

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

[17]  R. Marson,et al.  Application of Surface Electromyography in the Dynamics of Human Movement , 2012 .

[18]  K. Türker,et al.  Electromyography: some methodological problems and issues. , 1993, Physical therapy.

[19]  T. S. Miles,et al.  Decomposition of the human electromyogramme in an inhibitory reflex , 2004, Experimental Brain Research.

[20]  A. Gollhofer,et al.  EMG activity during whole body vibration: motion artifacts or stretch reflexes? , 2010, European Journal of Applied Physiology.

[21]  J. Webster Reducing Motion Artifacts and Interference in Biopotential Recording , 1984, IEEE Transactions on Biomedical Engineering.

[22]  C. Vaughan,et al.  Rectification and non-linear pre-processing of EMG signals for cortico-muscular analysis , 2003, Journal of Neuroscience Methods.

[23]  Kemal S. Türker,et al.  The lip-clip:A simple, low-impedance ground electrode for use in human electrophysiology , 1988, Brain Research Bulletin.