title: Technology and instrumentation for detection and conditioning of the surface electromyographic signal: state of the art.
abstract: The aim of this review is to present the state of the art of the technology of detection and conditioning systems for surface electromyography (sEMG). The first part of the manuscript focuses on the sEMG electrode system technology: the electrode classification, impedance, noise, transfer function, the spatial filtering effect of surface electrode configurations, the effects of electrode geometry, and location on the recorded sEMG signal. Examples of experimental sEMG signals are provided to show the potential value of high-density sEMG electrode grids and multichannel amplifiers that allow to add spatial information to the temporal information content of the sEMG signal. Furthermore, the results of a simple simulation are reported, in order to emphasize the effects of the subcutaneous tissue layers and of the detection volume on the recorded sEMG signal. The second part of the manuscript focuses on the sEMG amplifier technology: the front end amplifier characteristics for signal conditioning, the methods for stimulation artifact reduction, filtering methods, safety requirements, and the methods for analog-to-digital conversion of the sEMG signal.
authors.affiliation: Laboratory for Engineering of the Neuromuscular System (LISiN), Department of Electronics, Polytechnic of Turin, Corso Duca degli Abruzzi 24, 10129 Turin, Italy. roberto.merletti@polito.it
authors.forename: Roberto
authors.initials: R
authors.lastname: Merletti
authors.forename: Alberto
authors.initials: A
authors.lastname: Botter
authors.forename: Amedeo
authors.initials: A
authors.lastname: Troiano
authors.forename: Enrico
authors.initials: E
authors.lastname: Merlo
authors.forename: Marco Alessandro
authors.initials: MA
authors.lastname: Minetto
mesh_terms: D000465:Algorithms; D001709:Biotechnology / Q000295:instrumentation* / Q000379:methods* / Q000639:trends; D004566:Electrodes; D004576:Electromyography / Q000295:instrumentation* / Q000379:methods* / Q000639:trends; D004867:Equipment Design; D006801:Humans; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D013499:Surface Properties