HRV分析在驾驶疲劳中的应用研究

驾驶员在驾驶过程中易因疲劳、烦躁和压力等不良生理反应引发事故,而心率变异性(HRV)作为评价人体自主神经系统活性,反映人体生理状态的重要指标,能够准确评估驾驶员的精神状态。为了有效预防事故发生,文章介绍了驾驶员在驾车过程中HRV指标的变化及其应用。结果表明HRV指标结合相应算法模型对驾驶员生理状态识别的准确率高达90%以上,能够有效降低事故发生率。

Research and Application of HRV Analysis in driving fatigue

Drivers are prone to accidents due to adverse physiological reactions such as fatigue,irritability and stress during driving.Heart rate variability(HRV)is an important indicator for evaluating the activity of the human autonomic nervous system and reflecting the physiological state of the human body,which can accurately assess the driver mental state.In order to effectively prevent accidents,the article introduces the changes and applications of HRV indicators during driving.The results show that the HRV index combined with the corresponding algorithm model can identify the driver's physiological state with an accuracy of over 90%,which can effectively reduce the accident rate.