SURFACE ELECTROMYOGRAPHY

DETECTION AND RECORDING

Contents


General

When detecting and recording the EMG signal, there are two main issues of concern that influence the fidelity of the signal. The first is the signal-to-noise ratio. That is, the ratio of the energy in the EMG signal to the energy in the noise signal. In general, noise is defined as electrical signals that are not part of the "wanted" EMG signal. The other is the distortion of the signal, meaning that the relative contribution of any frequency component in the EMG signal should not be altered.


Characteristics of the EMG signal

It is well established that the amplitude of the EMG signal is stochastic (random) in nature and can be reasonably represented by a Gausian distribution function. The amplitude of the signal can range from 0 to 6 mV (peak-to-peak) or 0 to 1.5 mV (rms). The usable energy of the signal is limited to the 0 to 500 Hz frequency range, with the dominant energy being in the 50-150 Hz range. Usable signals are those with energy above the electrical noise level. An example of the frequency spectrum of the EMG signal is presented in Figure 1.


Characteristics of the electrical noise

The noise may emanate from various sources such as:

How can the fidelity of the EMG signal be maximized?

It is desirable to obtain an EMG signal that contains the maximum amount of information from the EMG signal and the minimum amount of contamination from electrical noise. Thus, the maximization of the signal-to-noise ratio should be done with minimal distortion to the EMG signal. Therefore, it is important that any detecting and recording device process the signal linearly. In particular, the signal should not be clipped, that is, the peaks should not be distorted and no unnecessary filtering should be performed.

Because the power line radiation (50 or 60 Hz) is a dominant source of electrical noise, it is tempting to design devices that have a notch-filter at this frequency. Theoretically, this type of filter would only remove the unwanted power line frequency, however, practical implementations also remove portions of the adjacent frequency components. Because the dominant energy of the EMG signal is located in the 50-100 Hz range, the use of notch filters is not advisable when there are alternative methods of dealing with the power line radiation.


Electrical characteristics of the electrode unit and amplifiers

The design of the electrode unit is the most critical aspect of the electronics apparatus which will be used to obtain the signal. The fidelity of the EMG signal detected by the electrode influences all subsequent treatment of the signal. It is very difficult (almost impossible) to improve the fidelity and signal-to-noise ratio of the signal beyond this point. Therefore, it is important to devise an electrode unit that provides minimal distortion and highest signal-to-noise ratio. The following characteristics are important for achieving this requirement.


Electrode geometry

Throughout the history of electromyography, the shape and the layout of the detection surface of the electrode have not received much attention. Most likely because past users of electromyography have been interested only in the qualitative aspects of the EMG signal. The advent of new processing techniques for extracting quantitative information from the EMG signal requires greater focus on the configuration of the electrode. Two main points need to be considered.

Where should the electrode be placed on the surface of the muscle?


A note of caution about the motor points and innervation zones. Most muscles have multiple innervation zones throughout the muscle. They can be identified by applying electrical stimulation to the skin above the surface of the muscle or by other more technically complicated surface mapping techniques. If neither procedure is convenient, then place the electrode in the middle of the muscle between the origin and insertion point.

Where should the reference electrode be placed?

The reference electrode (at times called the ground electrode) is necessary for providing a common reference to the differential input of the preamplifier in the electrode. For this purpose, the reference electrode should be placed as far away as possible and on electrically neutral tissue (say over abony prominence). Often this arrangement is inconvenient because the separation of the detecting electrode and reference electrode leads requires two wires between the electrodes and the amplifier.

It is imperative that the reference electrode make very good electrical contact with the skin. For this reason, the electrode should be large (2 cm x 2 cm). If smaller, the material must be highly conductive and should have strong adhesive properties that will secure it to the skin with considerable mechanical stability. Electrically conductive gels are particularly good for this purpose. Often, power line interference noise may be reduced an deliminated by judicious placement of the ground electrode.


Electrical safety concerns

The failure of any electrical instrumentation making direct or indirect galvanic contact with the skin can cause a potentially harmful fault current to pass through the skin of the subject. This concern is less relevant in devices that are powered exclusively by low voltage (3-15 V) batteries. To ensure safety, the subject should be electrically isolated from any electrical connection (to the power line or ground) associated with the power source. This isolation is generally achieved in one of two ways:either through the use of optical isolators or through the use of isolation transformers. Both approaches are satisfactory, but both require careful consideration for not distorting the EMG signal. This is especially true when a transformer is used.

This isolation provides the added benefit of reducing the amount of radiated power line noise at the electrode detection surfaces.


How should the EMG signal be processed?

For several decades it has been commonly accepted that the preferred manner for processing the EMG signal was to calculate the Integrated Rectified signal. This was done by rectifying (rendering the signal to have excursions of one polarity) the EMG signal, integrating the signal over a specified interval of time and subsequently forming a time series of the integrated values. This approach became widespread because it was possible to make these calculations somewhat accurately and inexpensively with the limited electronics technology of earlier decades. The advances made in electronics devices during the past two decades have made it possible to conveniently and accurately calculate the root-mean-squared (rms) value and the average rectified (avr) value of the EMG signal. The avr value is similar to the integrated rectified value, if the calculations are made correctly and accurately. Both these variables provide a measure of the area under the signal but do not have a specific physical meaning. On the other hand, the rms value is a measure of the power of the signal, thus it has a clear physical meaning. For this reason, the rms value is preferred for most applications.


Applications of the EMG signal

Currently there are three common applications of the EMG signal. They are:

In the not so distant future, we can expect applications in the assessment of neurological diseases which affect the fiber typing or the fiber cross-sectional area of the muscle.

The relationship between the force produced by the muscle and the amplitude of the EMG signal requires further description. During the past five decades, the scientific literature has promulgated an apparent controversy on this issue. Some reports describe a relatively linear relationship, whereas others describe a relative non-linear relationship, with the amplitude of the EMG signal increasing greater than the force. In fact, both positions are correct and the controversy is artificial. It is now known that in small muscles where the firing rate of the motor units has a greater dynamic range and motor unit recruitment is limited to the lower end of the force range, the relationship is relatively linear. Whereas, in larger muscles where motor unit recruitment continues into the upper end of the force range and the firing rate has a lower dynamic range, the relationship is relatively non-linear.


Copyright (c) 1996 by Delsys Inc. All rightsreserved.
This page was last modified on May 10, 1995



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