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An Evaluation Method of Safe Driving for Senior Adults Using ECG Signals

Overview
Journal Sensors (Basel)
Publisher MDPI
Specialty Biotechnology
Date 2019 Jun 28
PMID 31242557
Citations 2
Authors
Affiliations
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Abstract

The elderly are more susceptible to stress than younger people. In particular, heart palpitations are one of the causes of heart failure, which can lead to serious accidents. To prevent heart palpitations, we have devised the Safe Driving Intensity (SDI) and Cardiac Reaction Time (CRT) as new methods of estimating the correlations between effects on the driver's heart and the movement of a vehicle. In SDI measurement, recommended acceleration value of vehicle for safe driving is inferred from the suggested correlation algorithm using machine learning. A higher SDI value than other people means less pressure on the heart. CRT is an estimated value of the occurring time of heart palpitations caused by stressful driving. In particular, it is proved by SDI that elderly subjects tend to overestimate their driving abilities in personal assessment questionnaires. Furthermore, we validated our SDI using other general statistical methods. When comparing the results using a -test, we obtained reliable results for the equivalent variance. Our results can be used as a basis for evaluating elderly people's driving ability, as well as allowing for the implementation of a personalized safe driving system for the elderly.

Citing Articles

Reduction of Artifacts in Capacitive Electrocardiogram Signals of Driving Subjects.

Skoric T Entropy (Basel). 2022; 24(1).

PMID: 35052039 PMC: 8775042. DOI: 10.3390/e24010013.


Wireless Sensors System for Stress Detection by Means of ECG and EDA Acquisition.

Affanni A Sensors (Basel). 2020; 20(7).

PMID: 32260321 PMC: 7181292. DOI: 10.3390/s20072026.

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