首页> 外文期刊>Electronics and Communications in Japan / 電子情報通信 >Methods of Collection of Biological Information for Fatigue Evaluation During Visual Display Terminals (VDTs) Operation
【24h】

Methods of Collection of Biological Information for Fatigue Evaluation During Visual Display Terminals (VDTs) Operation

机译:视觉显示终端(VDT)操作期间疲劳评估的生物信息收集方法

获取原文
获取原文并翻译 | 示例
           

摘要

A method for the analysis of fatigue parameters has been rarely researched in VDT operation. Up to now, fatigue was evaluated by changing of biological information. If signals regarding fatigue are detected, fatigue can be measured. The purpose of this study was an experiment and analysis method to extract parameters related to fatigue from the biological information during VDT operation using Independent Component Analysis (ICA). The experiment had 11 subjects, and examined light-load and heavy-load VDT operation. Measurement items were amount of work, number of mistakes, subjective symptoms, surface skin temperature (forehead and apex nasi), heart rate, skin blood flow of forearm, and respiratory rate. In the heavy-load operation group, number of mistakes and subjective symptom score were increased. Two-factor ANOVA was used for analysis. The result of number of mistakes was confirmed for the heavy load. After the moving averages of waveform were calculated, we extracted independent components by using ICA. The results of ICA suggest that the independent components increase according to accumulation of fatigue. Thus, the independent components would be a possible parameter of fatigue. However, further experiments should continue in order to obtain conclusive findings of our research.
机译:在VDT操作中很少研究用于分析疲劳参数的方法。到目前为止,通过改变生物学信息来评估疲劳。如果检测到有关疲劳的信号,则可以测量疲劳。本研究的目的是使用独立成分分析(ICA)从VDT操作期间的生物学信息中提取与疲劳相关的参数的实验和分析方法。该实验有11名受试者,并检查了轻载和重载VDT操作。测量项目为工作量,错误次数,主观症状,表面皮肤温度(前额和先端鼻窦),心率,前臂皮肤血流量和呼吸频率。在重负荷手术组,错误次数和主观症状评分增加。使用两因素方差分析进行分析。确认了重载的错误数量结果。计算波形的移动平均值后,我们使用ICA提取独立分量。 ICA的结果表明,独立成分会随着疲劳的累积而增加。因此,独立分量将是疲劳的可能参数。但是,应该继续进行进一步的实验,以便获得我们研究的最终结论。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号