Geometrical factors in surface EMG of the vastus medialis and lateralis muscles

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Abstract

Surface EMG signals detected in dynamic conditions are affected by a number of artefacts. Among them geometrical factors play an important role. During movement the muscle slides with respect to the skin because of the variation of its length. Such a shift can considerably modify sEMG amplitude. The purpose of this work is to assess geometrical artefacts on sEMG during isometric contractions at different muscle lengths.

The average rectified value (ARV) of 15 single differential signals was obtained by means of a linear array of 16 bar electrodes from the vastus medialis and lateralis muscles. The knee angle was changed from 75° to 165° in steps of 30° and voluntary isometric contractions at a low, medium and high force level were performed for each angle. The ARV pattern was normalized with respect to the mean activity to compare signals from different joint angles. From the data collected it was possible to separate the geometrical changes from the changes due to different intensities of activation.

In three out of five subjects, we found (within the resolution of our measures) a 1 cm shift for the vastus medialis muscle while no shift was observed for the other two subjects. For the vastus lateralis muscle a 1 cm shift was found in two out of four subjects. Such a shift produces the main contribution to geometrical artefacts. To avoid such artefacts the innervation zones should be located and the EMG electrodes should not be placed near them.

Introduction

Clinical evaluations require movement analysis techniques suitable for detecting modifications and functional compensations due to pathological situations and their evolution with treatment. Surface EMG is a very promising technique in this regard because it can provide, in a non invasive way, information about the global activity of the muscle under study [3], [4], [5], [9], [13], [17], [18], [19], [21], [26]. Dynamic conditions introduce a number of factors of variability which are absent in the isometric condition. During movement, the muscles shift with respect to the skin and the detection electrodes. This phenomenon has been reported in a few studies [11], [15], [16], [22], [28] and implies that the amplitude of the signal can change due to geometrical reasons (geometrical artefacts) and not necessarily as a consequence of a different level of muscle activation. This issue can be of minor importance if only activation intervals (muscle on or muscle off) are considered but has relevance in biomechanical studies focused on the relationships between EMG signal and muscle level of activation and in situations in which the envelope of the signal is of interest. The problem is probably more serious if fatigue indexes are estimated during exercise. In this paper we focus only on the amplitude, the variable most commonly used in clinical activity. Further studies will be focused on other EMG parameters.

Hundreds of works on sEMG analysis of muscle activity appeared in literature in the last 15 years. Although the use of sEMG is widespread in research as well as clinical investigations for evaluating muscle activity during movement, only a few authors addressed the problem of electrode location by adopting suited protocols [4], [10], [11], [12], [19], [23], [25], [27]. Often this issue is ignored or not addressed properly. For example, both in isometric and dynamic conditions, the authors place the electrodes over the muscle belly [7], or on the motor point [6] or over the midline of the muscle without any insight into the effect of such a choice on the estimation of sEMG parameters. In many clinical handbooks, including those of recent publication [13], the recommended electrode position is still based on anatomical landmarks because of lack of alternatives. The validity of such a choice for the vastus medialis (VM) and lateralis (VL) will be discussed in this paper.

Section snippets

Measurement protocol

Nine healthy male volunteer subjects (age from 23 to 33 yr) participated in the experiment after giving informed consent. Five sessions were conducted on the VM of five subjects and four sessions on the VL of the other four subjects. The subject sat confortably on a chair with the thigh and the leg bound in an isometric brace whose angle could be changed in steps of 15°. The signals from the torquemeters were amplified and fed to a visual display which allowed the setting of target values and

Results

Fig. 2 compares the raw EMG signals detected from adjacent electrode pairs at a distance of 10 mm along the vastus medialis at different knee angles and at the same relative level of contraction (50% MVC). Observation of channel 11 would suggest a decrease of muscle activation with increasing knee angle while observation of channel 12 would suggest the opposite, clearly indicating how geometrical factors may lead to incorrect conclusions and why it may be misleading to look at only one channel.

Discussion

The issue of geometric effects due to electrode–muscle shifts has been described in the literature but a quantitative approach is not available.

Shankar et al. in 1989 [25] investigated the relationship between elbow angle and power of the EMG detected on the biceps brachii and found a four-fold variation of signal power when the angle changed from 65° to 165°, corresponding to a 200% change of RMS or ARV. A clear minimum appeared near 90°, associated to a maximum of the median frequency of the

Conclusion

The fact that geometrical factors alter surface EMG variables has been known for 10 years [25] but has never been investigated in detail and has been ignored in most clinical applications of dynamic EMG. This has greatly contributed to the variability of reported results. Indications to place electrodes away from the IZs have been recently provided to clinical researchers by the SENIAM European Concerted Action [10] but a detailed study of individual muscles is not yet available.

This work

Acknowledgements

This work was partially supported by the European Concerted Action SENIAM (PL95-0424), Camera di Commercio di Torino, Compagnia di San Paolo, Fondazione CRT di Torino, Università di Roma Tor vergata, Regione Piemonte and the Italian Ministry of Health.

Alberto Rainoldi was born in Torino, Italy in 1964 and graduated in Physics from Torino University in 1991. He worked as a consultant in the industrial quality control field until 1995 using neural network techniques. Since 1996 he has been with the Politecnico di Torino, where he works on testing surface EMG techniques both in normal and in pathological subjects. Currently he is a Ph.D. candidate in Physical Medicine and Rehabilitation at the Faculty of Medicine, Università di Roma ‘Tor

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    Alberto Rainoldi was born in Torino, Italy in 1964 and graduated in Physics from Torino University in 1991. He worked as a consultant in the industrial quality control field until 1995 using neural network techniques. Since 1996 he has been with the Politecnico di Torino, where he works on testing surface EMG techniques both in normal and in pathological subjects. Currently he is a Ph.D. candidate in Physical Medicine and Rehabilitation at the Faculty of Medicine, Università di Roma ‘Tor Vergata’ to study surface EMG and fiber type constituency using voluntary and electrically elicited contractions.

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    Marisa Nazzaro was born in 1967 in Pisa, Italy. She received her M.D. degree in 1994 and the Physical Medicine and Rehabilitation Certificate in 1998, both from the Università di Roma ‘Tor Vergata’ in collaboration with ‘Fondazione Don Carlo Gnocchi di Roma’ She is currently in charge at the Centro Paraplegici, Ostia, Italy.

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    Roberto Merletti graduated in Electronics Engineering from the Politecnico di Torino, Torino, Italy, and received his MS and Ph.D. degrees from The Ohio State University, Columbus, Ohio. He taught biomedical instrumentation and biomedical signal processing at the BME department of Boston University, Boston from 1989 to 1994. He is currently Associate Professor at the Department of Electronics of Politecnico di Torino and Director of the Laboratory for Neuromuscular System Engineering in Torino, Italy. His research focuses on surface electromyography, myoelectric signal processing, electrical stimulation and neuromuscular control.

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    Dario Farina graduated summa cum laude in Electronics Engineering from Politecnico di Torino, Torino, Italy, and is a registered professional engineer. During 1998 he was a fellow of the Laboratory for Neuromuscular System Engineering in Torino, Italy. Since 1999 he is a Ph.D. candidate at the Department of Electronics of the Politecnico di Torino within a cotutelle program with the Ecole Centrale de Nantes, Nantes, France, and is involved in teaching activities in electronics and mathematics at Politecnico di Torino. He is author/co-author of one book, more than 10 papers in international journals and about 30 among conference abstracts and papers in national journals. His main interests are in the areas of signal processing applied to biomedical signals and modeling of biological systems.

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    Ignazio Caruso was born in 1932 in Tripoli, Libya. He received his MD degree and the Physical Medicine and Rehabilitation Certificate from the Università di Roma ‘La Sapienza’, Rome, Italy. He is currently full Professor of Physical Medicine and Rehabilitation at the Università di Roma ‘Tor Vergata’, Rome, Italy, and Director of the School of specialization in Physical Medicine and Rehabilitation in Rome. His recent interests are related to the application of surface EMG techniques, especially in sport medicine and in the treatment of the elderly and of chronic lumbar pain.

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    Stefano Gaudenti was born in Torino, Italy in 1973. In 1998 he graduated in Physical Education from I.S.E.F., Torino, Italy and in 2000 he obtained the degree in Movement Sciences at the University of Torino, Italy. He is currently a candidate for the degree in Osteopathy and Manual Therapy in Torino, Italy, Assistant Professor at I.S.E.F. and Technical Director of the Functional Sports and Rehabilitation Center (FisioROM) in Torino, Italy.

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