Estimating changes in a cognitive performance using heart rate variability

作者: Keisuke Tsunoda , Akihiro Chiba , Hiroshi Chigira , Tetsuya Ura , Osamu Mizunq

DOI: 10.1109/BIBE.2015.7367712

关键词:

摘要: This paper presents a low-invasive framework for estimating changes in cognitive performance using heart rate variability (HRV). Although HRV is common physiological indicator of autonomous nerve activity or central nervous fatigue, there are individual differences the relationship between and such internal state. The new enables an estimation model to be determined characteristics individuals performing tasks through efforts. They also enable users working chair have their estimated without interrupting work having use lot devices as most previous methods require. Experimental results show can estimate mental fatigue; defined based on performance, same level did higher-invasive method(using multi-channel electroencephalogram (EEG) sensor multiple vital sensors). It subjects, one our proposed method realizes more effective useful than others. therefore has potential help managerial personnel making change reports workers, suggesting reasons urging them styles HRV.

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