Researchers nowadays are particularly focusing on the interpretation of EEG signals to understand and exploit the information they provide for brain activities. Deep learning architectures performing sleep staging have recently grown to their full potential with their ability to learn and interpret highly complex mathematical contexts. This has been catered to owing to the increasing availability of large EEG data sets. In this paper, we describe how sleep staging differs from microsleep prediction. We also provide a fresh methodology for the microsleep classification job that works with even less training data. Our proposed model exploits the attention-based mechanism that clubs the advantages available in Wavelet transform with Short Time Fourier Transform(STFT) Spectrogram. We also put forward a robust deep learning model that contains separate “time-dependent” and “time-independent” parts, which can record contexts from the sequence of features and simultaneously learn intra-epoch relations. A single-electrode EEG signal was employed for our analysis to accommodate such procedures’ social acceptance. For the task of microsleep detection on the MWT dataset, our model achieves fairly high accuracy rates (92% training and 89.9% testing accuracy), and an overall improvement in the kappa value by ≈ 42%, as compared to prior novel approaches.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Enabling Safe ITS: EEG-Based Microsleep Detection in VANETs


    Beteiligte:
    Chougule, Amit (Autor:in) / Shah, Jash (Autor:in) / Chamola, Vinay (Autor:in) / Kanhere, Salil (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.12.2023


    Format / Umfang :

    3366409 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    METHOD AND DEVICE FOR THE DETECTION OF MICROSLEEP EVENTS

    FARBOS BRUNO | Europäisches Patentamt | 2019

    Freier Zugriff

    METHOD AND DEVICE FOR THE DETECTION OF MICROSLEEP EVENTS

    Europäisches Patentamt | 2015

    Freier Zugriff

    Towards the detection of microsleep events in a driving simulator

    Christ, Olaf / Otto, Sebastian / Barth, Erhardt et al. | Tema Archiv | 2005