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September 24, 2021Reviews in Cardiovascular MedicineOpen Access

The sensitivity and specificity of HRV for detecting sleepiness, fatigue, and stress varied across studies (47.1%-95% and 74.6%-98%, respectively), with accuracy ranging from 56.6% to 95%.

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Why the study?

Sleepiness, fatigue, and stress in drivers are leading causes of car crashes, but the role of HRV measurement to monitor these states in car drivers had not been systematically investigated.

Does Heart Rate Variability (HRV) measurement accurately detect sleepiness, fatigue, and stress levels in car drivers?

Population

Car drivers across 19 included observational studies

Comparison

HRV measurements for detecting sleepiness, fatigue, or stress levels

Design

Systematic review

Authors

ABAlexandru BurlacuCBCrischentian BrinzaABAdrian Brezulianu

Discussion

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Overview

Supports HRV monitoring for driver fatigue; first synthesis extends sensor research but leaves validation trials open.

Structured PICO

Does Heart Rate Variability (HRV) measurement accurately detect sleepiness, fatigue, and stress levels in car drivers?

P
Population
Car drivers (19 observational studies included)
I
Intervention
Heart Rate Variability (HRV) measurement
O
Outcome
Detection of sleepiness, fatigue, and stress levelssurrogate

HRV represents a potentially valuable marker for monitoring sleepiness, fatigue, and stress in car drivers, though multiple parameter measurement is optimal and further validation in larger randomized trials is needed.

Limitations

  • All included studies were observational
  • Confounding factors in real-world conditions could affect sympathovagal tone and HRV
  • Need for larger populations

Cite This Study

Burlacu et al. (2021) studied this question.

synapsesocial.com/papers/6a6fefa66c240de38cdba084https://doi.org/10.31083/j.rcm2203090
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Deriving heart rate variability indices from cardiac monitoring—An indicator of driver sleepiness2019 · 71 citations
  2. 2Heart Rate Variability for Classification of Alert Versus Sleep Deprived Drivers in Real Road Driving Conditions2020 · 107 citations
  3. 3Predicting driver fatigue using HRV measures and machine learning2026 · 1 citations
  4. 4Stress influence on real-world driving identified by monitoring heart rate variability and morphologic variability of electrocardiogram signals: the case of intercity roads2023 · 4 citations
  5. 5Driver stress level detection using HRV analysis2015 · 146 citations