Technology and instrumentation for detection and conditioning of the surface electromyographic signal: State of the art

被引:237
作者
Merletti, Roberto [1 ]
Botter, Alberto [1 ]
Troiano, Amedeo [1 ]
Merlo, Enrico [1 ]
Minetto, Marco Alessandro [1 ,2 ]
机构
[1] Politecn Torino, Dept Elect, Lab Engn Neuromuscular Syst LISiN, I-10129 Turin, Italy
[2] Univ Turin, Dept Internal Med, Div Endocrinol & Metab, Turin, Italy
关键词
Surface EMG; Electrode arrays; Spatial filtering; Electrode-skin impedance; Electrode noise; EMG amplifiers; Surface EMG signal conditioning; NONINVASIVE MULTIELECTRODE EMG; STIMULUS ARTIFACT REMOVAL; POWER-LINE INTERFERENCE; UNIT NUMBER ESTIMATION; CONDUCTION-VELOCITY; MYOELECTRIC MANIFESTATIONS; BIOPOTENTIAL AMPLIFIER; SPATIAL-RESOLUTION; BIOELECTRIC EVENTS; ELECTRODE ARRAY;
D O I
10.1016/j.clinbiomech.2008.08.006
中图分类号
R318 [生物医学工程];
学科分类号
100103 [病原生物学];
摘要
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. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:122 / 134
页数:13
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