EEG-Based Drivers Mental Fatigue Detection Using ERD/ERS and Hurst Exponent

Author:

González-Rodríguez Diana Guadalupe1,Martinez-Peon Dulce2,Ortiz Jiménez Xochitl Angélica3,Góngora-Rivera Juan Fernando4,Benavides-Bravo Francisco Gerardo5,Soria Rodríguez Brayan6,Ruíz Velázquez Mariana2

Affiliation:

1. Division of Studies and Postgraduate Research, National Technological Institute of Mexico (TecNM) / IT Nuevo Leon, Mexico

2. Electric and Electronics Department, TecNM / IT Nuevo Leon, Mexico

3. Faculty of Psychology and Neuroplasticity and Neuromodulation Unity at Center for Research and Development in Health Sciences (CIDICS), Universidad Autonoma de Nuevo Leon (UANL), Mexico

4. Faculty of Medicine and Neurology Department, University's Hospital and Center for Research and Development in Health Sciences (CIDICS), Mexico and Institute of Neurology and Neurosurgery at Zambrano Hellion Medical Center, Tec Salud, Mexico

5. Department of Basic Sciences, TecNM/ IT Nuevo Leon, Mexico

6. Faculty of Biomedical Engineering, UANL, Mexico

Publisher

ACM

Reference24 articles.

1. Effects of mental fatigue on attention: An ERP study

2. Multi-channel EEG recordings during a sustained-attention driving task;Cao Zehong;Scientific Data,2019

3. Neural mechanisms underlying state mental fatigue in multiple sclerosis: a pilot study;Chen H.;Journal of Neurology,2020

4. Evaluation of event-related desynchronization (ERD) during a recognition task: effect of attention;Dujardin K.;Electroencephalography and Clinical Neurophysiology,1993

5. Detecting Driver Mental Fatigue Based on EEG Alpha Power Changes during Simulated Driving;Gharagozlou Faramarz;Iranian Journal of Public Health,2015

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