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基于光电容积脉搏波的有限空间生理疲劳测量

于露 金龙哲 徐明伟 谢晓雅 田兴华

于露, 金龙哲, 徐明伟, 谢晓雅, 田兴华. 基于光电容积脉搏波的有限空间生理疲劳测量[J]. 工程科学学报, 2018, 40(10): 1215-1222. doi: 10.13374/j.issn2095-9389.2018.10.008
引用本文: 于露, 金龙哲, 徐明伟, 谢晓雅, 田兴华. 基于光电容积脉搏波的有限空间生理疲劳测量[J]. 工程科学学报, 2018, 40(10): 1215-1222. doi: 10.13374/j.issn2095-9389.2018.10.008
YU Lu, JIN Long-zhe, XU Ming-wei, XIE Xiao-ya, TIAN Xing-hua. Confined space physiological fatigue measurement based on photoplethysmography pulse wave signal[J]. Chinese Journal of Engineering, 2018, 40(10): 1215-1222. doi: 10.13374/j.issn2095-9389.2018.10.008
Citation: YU Lu, JIN Long-zhe, XU Ming-wei, XIE Xiao-ya, TIAN Xing-hua. Confined space physiological fatigue measurement based on photoplethysmography pulse wave signal[J]. Chinese Journal of Engineering, 2018, 40(10): 1215-1222. doi: 10.13374/j.issn2095-9389.2018.10.008

基于光电容积脉搏波的有限空间生理疲劳测量

doi: 10.13374/j.issn2095-9389.2018.10.008
基金项目: 

国家"十三五"重点科技资助项目(2016YFC080176)

详细信息
  • 中图分类号: X914

Confined space physiological fatigue measurement based on photoplethysmography pulse wave signal

  • 摘要: 通过有限空间100 min极限载人实验,提出了基于光电容积脉搏波(PPG)的客观疲劳测量方法并开发了光电容积脉搏波信号特征参数提取算法用来掌握生理疲劳的血液动力学与循环系统变化特征.研究结果表明,人体出现生理疲劳时,光电容积脉搏波信号平均周期显著大于未疲劳状态(p<0.001),血管阻力增大,每搏射血量明显下降;计算了未疲劳与疲劳状态下光电容积脉搏波信号的两种复杂度(KC复杂度和高阶KC复杂度)发现,两种复杂度计算结果一致,均为未疲劳时波形比疲劳时波形更平稳.因此表明光电容积脉搏波信号能够捕捉到疲劳状态的生理变化,解决了生理疲劳的客观测量与快速判断问题.
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出版历程
  • 收稿日期:  2018-03-20

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