Assessment of Combination of Automated Pupillometry and Heart Rate Variability to Detect Driving Fatigue

Frontiers in Public Health

article

Lin Shi¹  Leilei Zheng⁴  Danni Jin¹  Zheng Lin⁴  Qiaoling Zhang¹  Mao Zhang¹ 

[1] Department of Emergency Medicine, Second Affiliated Hospital, Zhejiang University School of Medicine;Key Laboratory of the Diagnosis and Treatment of Severe Trauma and Burn of Zhejiang Province;Zhejiang Province Clinical Research Center for Emergency and Critical Care Medicine;Department of Psychiatry, Second Affiliated Hospital, Zhejiang University School of Medicine

关键词: driving fatigue;    traffic safety;    pupillary light reflex (PLR);    heart rate variability;    automated pupillometry;   

DOI  :  10.3389/fpubh.2022.828428

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

Objectives Approximately 20~30% of all traffic accidents are caused by fatigue driving. However, limited practicability remains a barrier for the real application of available techniques to detect driving fatigue. Use of pupillary light reflex (PLR) may be potentially effective for driving fatigue detection. Methods A 90 min monotonous simulated driving task was utilized to induce driving fatigue. During the task, PLR measurements were performed at baseline and at an interval of 30 min. Subjective rating scales, heart rate variability (HRV) were monitored simultaneously. Results Thirty-two healthy volunteers in China participated in our study. Based on the results of subjective evaluation and behavioral performances, driving fatigue was verified to be successfully induced by a simulated driving task. Significant variations of PLR and HRV parameters were observed, which also showed significant relevance with the change in Karolinska Sleepiness Scale at several timepoints (| r | = 0.55 ~ 0.72, P 0.05). Conclusions Pupillary light reflex variation may be a potential indicator in the detection of driving fatigue, achieving a comparative performance compared with the combination with heart rate variability. Further work may be involved in developing a commercialized driving fatigue detection system based on pupillary parameters.

【 授权许可】

CC BY