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Wireless Mobile Communication and Healthcare. 12th EAI International Conference, MobiHealth 2023, Vila Real, Portugal, November 29-30, 2023 Proceedings

Research Article

EEG Monitoring in Driving Using Embedded Systems

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-60665-6_34,
        author={Rui Alves and Paulo Matos},
        title={EEG Monitoring in Driving Using Embedded Systems},
        proceedings={Wireless Mobile Communication and Healthcare. 12th EAI International Conference, MobiHealth 2023, Vila Real, Portugal, November 29-30, 2023 Proceedings},
        proceedings_a={MOBIHEALTH},
        year={2024},
        month={6},
        keywords={Epilepsy Sensors Driving IoT Edge Computing},
        doi={10.1007/978-3-031-60665-6_34}
    }
    
  • Rui Alves
    Paulo Matos
    Year: 2024
    EEG Monitoring in Driving Using Embedded Systems
    MOBIHEALTH
    Springer
    DOI: 10.1007/978-3-031-60665-6_34
Rui Alves,*, Paulo Matos1
  • 1: Research Centre in Digitalization and Intelligent Robotics (CeDRI), Instituto Politécnico de Bragança, Campus de Santa Apolónia
*Contact email: rui.alves@ipb.pt

Abstract

Epilepsy is a disease that can appear in all age groups, where many patients only have their diagnoses confirmed at more advanced ages and at different stages of their life. This disease manifests through partial and/or total seizures. To avoid more drastic consequences, an accurate diagnosis of seizures is essential to provide the correct medication to the patient. Although many patients are able to control seizures using a single drug, others need multiple medications or even complementary measures. In addition, epilepsy can make the quality of life substantially difficult due to seizures, however, it can also reduce the autonomy of patients in day-to-day tasks such as driving - in most countries, after the diagnosis of epilepsy, the patient is inhibited from driving for a period of time. This paper, through a set of chips and sensors, provides a solution to identify seizures through the study of a patient’s electroencephalogram (EEG) waves, then applies several safety measures to protect the patient while driving.

Keywords
Epilepsy Sensors Driving IoT Edge Computing
Published
2024-06-28
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-60665-6_34
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