Evidence map›Paper›PMID 36832561›Full record

ArticleEntropy (Basel, Switzerland)2023

Driver Stress Detection Using Ultra-Short-Term HRV Analysis under Real World Driving Conditions.

Kun Liu, Yubo Jiao, Congcong Du, Xiaoming Zhang, Xiaoyu Chen, Fang Xu, Chaozhe Jiang

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Article
  7. IoT-Based Assessment of a Driver's Stress Level.Sensors (Basel, Switzerland) · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Kun LiuSchool of Transportation & Logistics, Southwest Jiaotong University, Chengdu 610097, China.ORCID 0000-0002-8170-0310
Yubo JiaoSchool of Transportation & Logistics, Southwest Jiaotong University, Chengdu 610097, China.
Congcong DuSchool of Mines, China University of Mining and Technology, Xuzhou 221116, China.
Xiaoming ZhangSchool of Transportation & Logistics, Southwest Jiaotong University, Chengdu 610097, China.
Xiaoyu ChenSchool of Transportation & Logistics, Southwest Jiaotong University, Chengdu 610097, China.
Fang XuDepartment of Purchase Management, Sichuan Tourism University, Chengdu 610100, China.
Chaozhe JiangSchool of Transportation & Logistics, Southwest Jiaotong University, Chengdu 610097, China.

Funding

Key Laboratory of Flight Techniques and Flight Safety FZ2021KF05Sichuan Social Science Key Research Base National Park Research Center GJGY2022-YB009
6 · The paper itself

Abstract

Considering that driving stress is a major contributor to traffic accidents, detecting drivers' stress levels in time is helpful for ensuring driving safety. This paper attempts to investigate the ability of ultra-short-term (30-s, 1-min, 2-min, and 3-min) HRV analysis for driver stress detection under real driving circumstances. Specifically, the

Indexed as

classificationdriving safetyheart rate variabilitymachine learningstress detection

Identifiers

PMID36832561
PMCPMC9955749

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.