Drowsiness Detection with a Limited Number of EEG Physiological Signals-Reference-Cited by-同舟云学术

Drowsiness Detection with a Limited Number of EEG Physiological Signals

Published:2022-06-06 Issue: Volume: Page:
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Container-title:2022 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS)
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Author:

Lachtar Rabiaa¹,Jovanovic Slavisa²,Khalifa Khaled Ben³,Cheikh Ridha Ben⁴,Weber Serge²,Bedoui Mohamed Hedi¹

Affiliation:

1. Laboratoire de Recherche Technologie et Imagerie Médicale - LTIM - LR12ES06 Faculté de Medecine de Monastir,Monsatir,Tunisie

2. UMR 7198, Institut Jean Lamour, Université de Lorraine,Nancy,France

3. Laboratoire de Recherche Technologie et Imagerie Medicalé - LTIM - LR12ES06 Faculté de Medecine de Monastir,Monsatir,Tunisie

4. Service d'explorations fonctionnelles du systéme nerveux, CHU Sahloul,Sousse,Tunisie

Publisher

IEEE

Link

Reference25 articles.

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multilevel Classification of Drowsiness States using ECG with Optimized Convolutional Neural Network;2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics);2023-12-17

2. Discrete Wavelet Transform Coefficients for Drowsiness Detection from EEG Signals;2023 IEEE International Conference on Design, Test and Technology of Integrated Systems (DTTIS);2023-11-01