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Bechir Hbibi

Faculty of sciences of Tunis · Ph.D student

https://researchid.co/bechiirhbibi
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20Google Scholar Citations
3Google Scholar h-index
1Google Scholar i10-index

Biography

received a master’s degree in electronics, electro-technics, and automatics, focusing on hyper-frequency antennas. He is currently pursuing a Ph.D. degree in electronics with the University of Tunis El Manar. He was involved/trained with the EEG Center, National Institute of Neurology, Tunis, and the Department of Electrical and Computer Engineering, Northern Virginia Center, Virginia Tech. He has online certifications in neurology and brain activity. His research interests include comatose human brain activity and classification.

Education

Electronics and signal processing Ph.D student

Recent Google Scholar Publications

  1. A Pilot Study for Real-Time Hunger Detection Based on EEG Signals and Visual ERPs
    2025 IEEE International Multi-Conference on Smart Systems & Green Process … , 2025, 2025
  2. Vigilance State Classification of Comatose Patients Based on Multifractal Analysis of EEG Signals
    IEEE Access , 2025, 2025 | Citations: 1.0
  3. ‘The challenges of EEG in coma: The potential of recent discoveries
    Coma and Brain Death–Facts, Myths and Mysteries , 2024, 2024 | Citations: 3.0
  4. ‘Singularity spectrum analysis as an approach for the classification of comatose patients’ vigilance state,’’
    Neural Traces 2024, 111 , 2024, 2024 | Citations: 3.0
  5. Identifying and removing interference and artifacts in multifractal signals with application to EEG signals
    IEEE Access 11, 119090-119105 , 2023, 2023 | Citations: 13.0

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