Vehicle Driver Condition Monitoring System Based on Electrocardiographic Signal Analysis

Author:

Nadeev A. F.1,Shcherbakova T. F.1,Kobyzeva A. A.1,Sedov S. S.1

Affiliation:

1. Kazan National Research Technical University named after A.N.Tupolev-KAI,Department of Radio-Electronic and Telecommunication Systems,Kazan,Russia

Publisher

IEEE

Reference15 articles.

1. Sleepiness, near-misses and driving accidents among a representative population of French drivers

2. Automation warning system against driver falling asleep in-traffic

3. Software and hardware implementation of on-board operationally relevant expert systems in transport;Korneev

4. Analysis of heart rate variability when using various cardiographic systems: methodological recommendations;Baevsky;Bulletin of Arrhythmology,2001

5. Determination of the driver’s condition of a vehicle based on the analysis of the electrocardiosignal;Shcherbakova;Bulletin of KSTU named after. A.N. Tupolev,2022

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