Electromyography (EMG) Sensor and System

Electromyography (EMG) is based on the measurement of the electrical activity of the muscles and nerves in the human body. The EMG electrical signal, acquired on the surface of the skin, is the result of muscle movement activity and provides a wealth of information on the movement generated.

This type of biosignal is widely used in a variety of fields of science. Periodic monitoring of EMG signals can be used to detect diseases and to prevent problems such as heart attacks or strokes. In addition, the study of the biomechanics of human movement and biometric identification may be useful in detecting neuromuscular disorders. The field of human–machine interaction (mechanical actuators) can also benefit from the use of biosignals, and so can the field of computing due to the development of muscle–computer interfaces (immersive environments, video games, electronic devices or the control of robotic devices or “bionic” limbs).

Given all the possibilities that EMG signal analysis has, it is essential to ensure that the data collected are reliable and representative of the electrical activity of the muscles. Furthermore, to perform this analysis, it is very important that the acquisition system for obtaining these myoelectric signals be efficient and reliable. Finally, in order to optimize resources, it would be highly advisable, as is the trend, that all the elements that configure the acquisition system are low-cost.

Prof. Dr. Vicente Diaz
Dr. Ester Olmeda
Guest Editors

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