Long-time driving and monotonous visual environment increase the safety risk of driving in an extra-long tunnel.Driving fatigue can be effectively relieved by setting the visual fatigue relief zone in the tunnel.Howev...Long-time driving and monotonous visual environment increase the safety risk of driving in an extra-long tunnel.Driving fatigue can be effectively relieved by setting the visual fatigue relief zone in the tunnel.However,the setting form of visual fatigue relief zone,such as its length and location,is difficult to be designed and quantified.By integrating virtual reality(VR)apparatus with wearable electroencephalogram(EEG)-based devices,a hybrid method was proposed in this study to assist analyzers to formulate the layout of visual fatigue relief zone in the extra-long tunnel.The virtual environment of this study was based on an 11.5 km extra-long tunnel located in Yunnan Province in China.The results indicated that the use of natural landscape decoration inside the tunnel could improve driving fatigue with the growth rate of attention of the driver increased by more than 20%.The accumulation of driving fatigue had a negative effect on the fatigue relief.The results demonstrated that the optimal location of the fatigue relief zone was at the place where driving fatigue had just occurred rather than at the place where a certain amount of driving fatigue had accumulated.展开更多
Disorders of consciousness(DoCs) are chronic conditions resulting usually from severe neurological deficits. The limitations of the existing diagnosis systems and methodologies cause a need for additional tools for re...Disorders of consciousness(DoCs) are chronic conditions resulting usually from severe neurological deficits. The limitations of the existing diagnosis systems and methodologies cause a need for additional tools for relevant patients with DoCs assessment, including brain-computer interfaces(BCIs). Recent progress in BCIs' clinical applications may offer important breakthroughs in the diagnosis and therapy of patients with DoCs. Thus the clinical significance of BCI applications in the diagnosis of patients with DoCs is hard to overestimate. One of them may be brain-computer interfaces. The aim of this study is to evaluate possibility of non-invasive EEG-based brain-computer interfaces in diagnosis of patients with DOCs in post-acute and long-term care institutions.展开更多
基金Project(2018YFB2101000) supported by the National Key R&D Program of ChinaProject(20YF1451400) supported by Shanghai Sailing Program,ChinaProject(SLDRCE19-A-14) supported by the Research Fund of State Key Laboratory for Disaster Reduction in Civil Engineering,China。
文摘Long-time driving and monotonous visual environment increase the safety risk of driving in an extra-long tunnel.Driving fatigue can be effectively relieved by setting the visual fatigue relief zone in the tunnel.However,the setting form of visual fatigue relief zone,such as its length and location,is difficult to be designed and quantified.By integrating virtual reality(VR)apparatus with wearable electroencephalogram(EEG)-based devices,a hybrid method was proposed in this study to assist analyzers to formulate the layout of visual fatigue relief zone in the extra-long tunnel.The virtual environment of this study was based on an 11.5 km extra-long tunnel located in Yunnan Province in China.The results indicated that the use of natural landscape decoration inside the tunnel could improve driving fatigue with the growth rate of attention of the driver increased by more than 20%.The accumulation of driving fatigue had a negative effect on the fatigue relief.The results demonstrated that the optimal location of the fatigue relief zone was at the place where driving fatigue had just occurred rather than at the place where a certain amount of driving fatigue had accumulated.
文摘Disorders of consciousness(DoCs) are chronic conditions resulting usually from severe neurological deficits. The limitations of the existing diagnosis systems and methodologies cause a need for additional tools for relevant patients with DoCs assessment, including brain-computer interfaces(BCIs). Recent progress in BCIs' clinical applications may offer important breakthroughs in the diagnosis and therapy of patients with DoCs. Thus the clinical significance of BCI applications in the diagnosis of patients with DoCs is hard to overestimate. One of them may be brain-computer interfaces. The aim of this study is to evaluate possibility of non-invasive EEG-based brain-computer interfaces in diagnosis of patients with DOCs in post-acute and long-term care institutions.
