Microsleep detection of automobile drivers using electrocardiogram signal

Nor Shahrudin, Nur Shahirah and Sidek, Khairul Azami and Jalaludin, Muhammad Rasydan and Nazmi Asna, Nur Aaina Nazihah (2022) Microsleep detection of automobile drivers using electrocardiogram signal. In: Emerging Technology Trends in Internet of Things and Computing. Communications in Computer and Information Science, 1548 . Springer Nature, Switzerland, pp. 237-252. ISBN 1865-0929

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Abstract

Microsleep can happen in any situations which could lead to accidents due to the driver’s fatigue. One of the studies that have been done on observing the occurrence of microsleep is by analysing the electrocardiogram (ECG) signal. This study proposed to develop a steering wheel that extracts ECG signal from a driver in preventing microsleep through the data acquisition, pre-processing, feature extraction and classification stages. Firstly, the ECG signals were collected in normal and drowsy states. Then, the signals were filtered using the Savitzky Golay filter and Pan Tompkins’s algorithmwere selected to extract the R peak. The data was analysed using four classifications which are RR interval (RRI), standard deviation of normal to normal (SDNN), root mean square of successive differences (RMSSD) and p-value. Consequently, ECG in steering wheel managed to display a distinct difference for both states through all classifications, simultaneously capable in detecting the occurrence of microsleep.

Item Type:	Book Chapter
Additional Information:	4698/97193
Uncontrolled Keywords:	Electrocardiogram, Microsleep, Drowsiness, RR interval, SDNN, RMSSD
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Assoc Prof Dr Khairul Azami Sidek
Date Deposited:	29 Nov 2024 11:15
Last Modified:	29 Nov 2024 11:15
URI:	http://irep.iium.edu.my/id/eprint/97193

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