ArticleFrontiers in public health2022
Assessment of Combination of Automated Pupillometry and Heart Rate Variability to Detect Driving Fatigue.
Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 17 citations in OpenAlex.
- Trial
- Enhancing Physiological Complexity Through Mindfulness: A Wearable-Based Intervention for First Responders and Their Partners.Healthcare (Basel, Switzerland) · 2026Article
- Neural Sensitivity to the Heartbeat Is Modulated by Fluctuations in Affective Arousal during Spontaneous Thought.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Neural sensitivity to the heartbeat is modulated by fluctuations in affective arousal during spontaneous thought.bioRxiv : the preprint server for biology · 2025Article
- Evaluating the effectiveness of quantitative pupillometry in assessing dynamic aerobic training intensity.Scientific reports · 2024Article
- Pupillometry and autonomic nervous system responses to cognitive load and false feedback: an unsupervised machine learning approach.Frontiers in neuroscience · 2024Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 (| 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.
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Registered trials
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