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December 12, 2023International Journal of Occupational Safety and Ergonomics

Driver stress could be detected with an accuracy of approximately 92% using MV metrics as compared to traditional HRV analysis.

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Why the study?

It was unclear which heart rate variability (HRV) and morphologic variability (MV) metrics have the highest accuracy for detecting stress during real-world driving.

Does monitoring of morphologic variability (MV) metrics of ECG signals improve the accuracy of stress detection in drivers compared to traditional HRV analysis?

Population

93 intercity mini-bus male drivers aged 22-67 years

Comparison

Real-world driving vs rest time

Design

Cross-sectional study

Authors

SRSajjad RostamzadehAAAlireza AbouhosseinSVShahram Vosoughi

Discussion

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Member takes

Overview

May support driver stress monitoring with select HRV/MV metrics; hypothesis-generating and requires prospective validation before practice change.

Structured PICO

Does monitoring of morphologic variability (MV) metrics of ECG signals improve the accuracy of stress detection in drivers compared to traditional HRV analysis?

P
Population
93 intercity mini-bus male drivers aged 22–67 years
I
Intervention
Monitoring of heart rate variability (HRV) and morphologic variability (MV) metrics of ECG signals during real-world driving
C
Comparator
Rest time
O
Outcome
Accuracy of stress detectionsurrogate

Morphologic variability of ECG signals provides a highly accurate (92%) physiological index for detecting mental stress in drivers.

Cite This Study

Rostamzadeh et al. (2023) studied this question.

synapsesocial.com/papers/6a8a96b0176d2ac34cfbeb43https://doi.org/10.1080/10803548.2023.2293391
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