• Mi Re-Unir
    Búsqueda Avanzada
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    Ver ítem 
    •   Inicio
    • UNIR REVISTAS
    • Revista IJIMAI
    • 2022
    • vol. 7, nº 5, september 2022
    • Ver ítem
    •   Inicio
    • UNIR REVISTAS
    • Revista IJIMAI
    • 2022
    • vol. 7, nº 5, september 2022
    • Ver ítem

    An EEG Signal Recognition Algorithm During Epileptic Seizure Based on Distributed Edge Computing

    Autor: 
    Qiu, Shi
    ;
    Cheng, Keyang
    ;
    Zhou, Tao
    ;
    Tahir, Rabia
    ;
    Ting, Liang
    Fecha: 
    09/2022
    Palabra clave: 
    clinical feature; cloud computing; deep learning; edge computing; electroencephalography; epilepsy; fuzzy; Takagi-Sugeno-Kang (TSK); IJIMAI
    Revista / editorial: 
    International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)
    Tipo de Ítem: 
    article
    URI: 
    https://reunir.unir.net/handle/123456789/13674
    DOI: 
    https://doi.org/10.9781/ijimai.2022.07.001
    Dirección web: 
    https://ijimai.org/journal/bibcite/reference/3135
    Open Access
    Resumen:
    Epilepsy is one kind of brain diseases, and its sudden unpredictability is the main cause of disability and even death. Thus, it is of great significance to identify electroencephalogram (EEG) during the seizure quickly and accurately. With the rise of cloud computing and edge computing, the interface between local detection and cloud recognition is established, which promotes the development of portable EEG detection and diagnosis. Thus, we construct a framework for identifying EEG signals in epileptic seizure based on cloud-edge computing. The EEG signals are obtained in real time locally, and the horizontal viewable model is established at the edge to enhance the internal correlation of the signals. The Takagi-Sugeno-Kang (TSK) fuzzy system is established to analyze the epileptic signals. In the cloud, the fusion of clinical features and signal features is established to establish a deep learning framework. Through local signal acquisition, edge signal processing and cloud signal recognition, the diagnosis of epilepsy is realized, which can provide a new idea for the real-time diagnosis and feedback of EEG during epileptic seizure.
    Mostrar el registro completo del ítem
    Ficheros en el ítem
    icon
    Nombre: ijimai_7_5_1.pdf
    Tamaño: 1.121Mb
    Formato: application/pdf
    Ver/Abrir
    Este ítem aparece en la(s) siguiente(s) colección(es)
    • vol. 7, nº 5, september 2022

    Estadísticas de uso

    Año
    2012
    2013
    2014
    2015
    2016
    2017
    2018
    2019
    2020
    2021
    2022
    2023
    2024
    2025
    Vistas
    0
    0
    0
    0
    0
    0
    0
    0
    0
    0
    21
    129
    97
    56
    Descargas
    0
    0
    0
    0
    0
    0
    0
    0
    0
    0
    7
    49
    50
    15

    Ítems relacionados

    Mostrando ítems relacionados por Título, autor o materia.

    • Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Setting-specific Transmission Rates: A Systematic Review and Meta-analysis 

      Thompson, Hayley A; Mousa, Andria; Dighe, Amy; Fu, Han; Arnedo-Pena, Alberto; Barrett, Peter; Bellido-Blasco, Juan; Bi, Qifang; Caputi, Antonio; Chaw, Liling; De Maria, Luigi; Hoffmann, Matthias; Mahapure, Kiran; Ng, Kangqi; Raghuram, Jagadesan; Singh, Gurpreet ; Soman, Biju; Valent, Francesca; Vimercati, Luigi; Wee, Liang En; Wong, Justin; Ghani, Azra C; Ferguson, Neil M. (Oxford University Press, 2021)
      Background: Understanding the drivers of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission is crucial for control policies, but evidence of transmission rates in different settings remains limited. ...
    • STAIBT: Blockchain and CP-ABE Empowered Secure and Trusted Agricultural IoT Blockchain Terminal 

      Zhang, Guofeng; Chen, Xiao; Zhang, Lei; Feng, Bin; Guo, Xuchao; Liang, Jingyun; Zhang, Yanan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      The integration of agricultural Internet of Things (IoT) and blockchain has become the key technology of precision agriculture. How to protect data privacy and security from data source is one of the difficult issues in ...
    • Pilot study analysis based on various fertilizers on grape cropping cultivation using advanced temperature and time agricultural bio-ethanol harvest 

      Nie, Songqing; Liang, Weiqu; Mo, Weiqin; Miao, Bingbing; Wu, Daiying; Peng, Miao; González-Crespo, Rubén; Sanjuan, Oscar (Stochastic Environmental Research and Risk Assessment, 2022)
      [Resumen no disponible]

    Mi cuenta

    AccederRegistrar

    ¿necesitas ayuda?

    Manual de UsuarioContacto: reunir@unir.net

    Listar

    todo Re-UnirComunidades y coleccionesPor fecha de publicaciónAutoresTítulosPalabras claveTipo documentoTipo de accesoEsta colecciónPor fecha de publicaciónAutoresTítulosPalabras claveTipo documentoTipo de acceso






    Aviso Legal Política de Privacidad Política de Cookies Cláusulas legales RGPD
    © UNIR - Universidad Internacional de La Rioja
     
    Aviso Legal Política de Privacidad Política de Cookies Cláusulas legales RGPD
    © UNIR - Universidad Internacional de La Rioja