Methodologies for evaluating electromyographic field data in ergonomics

被引:140
作者
Hägg, GM
Luttmann, A
Jäger, M
机构
[1] Natl Inst Working Life, Programme Ergon, SE-11279 Stockholm, Sweden
[2] Univ Dortmund, Inst Arbeitsphysiol, D-44139 Dortmund, Germany
关键词
electromyography; dose; exposure; fatigue; musculoskeletal disorders; physical load;
D O I
10.1016/S1050-6411(00)00022-5
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Surface electromyography (SEMG) is an important tool for work load assessment in ergonomics. Several different approaches using amplitude as well as frequency parameters give fruitful information depending on question at issue in the laboratory as well as in field studies. One basic factor determining the choice of analysis method is whether the SEMG is interpreted as an indicator of forces/torques or pure muscular activation. Two methods for occupational SEMG data reduction representing two different approaches to SEMG applications in ergonomics, Exposure Variation Analysis (EVA), and Joint Analysis of EMG Spectrum and Amplitude (JASA), applied on the same SEMG recording from three muscles during urology surgeon work, have been compared. The EVA method categorised the three muscle recordings as too static with no EMG gaps while the JASA method identifies fatigue in two of the three recordings. The practical relevance of these findings is discussed. (C) 2000 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:301 / 312
页数:12
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