• DocumentCode
    1786074
  • Title

    An Ethernet sniffer for On-line acquisition of EEG with the BrainNet36® device applied to a BCI

  • Author

    Botti Benevides, Alessander ; Cotrina Atencio, Anibal ; Castillo, Javier ; Bastos Filho, Teodiano Freire ; Botti Benevides, Alessander

  • Author_Institution
    Electr. Eng. Post-Grad. Program, Fed. Univ. of Espirito Santo, Vitoria, Brazil
  • fYear
    2014
  • fDate
    26-28 May 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents an Ethernet sniffer programmed in ANSI C to export in an on-line way the electroencephalographic (EEG) data acquired with the device BrainNet36®, which is a Brazilian EEG device for clinical and polysomnography purposes. The sniffer proved to be useful for off-line analysis of the EEG and also for on-line applications, as Brain Computer-Interfaces (BCIs). Despite its limitations and packet losses at around 1.7% due to noise, the off-line analysis of the EEG successfully replicated results of the literature regarding the Event-Related (De)Synchronization (ERD/ERS) and Evoked Potentials (EPs) calculated for mental tasks. For on-line applications the sniffer was used to program a single-switch BCI for on-line classification of motor and no motor mental tasks with high success rate. Nowadays, the BrainNet36® device is being used for EEG research at many Brazilian universities, therefore, we hope that this article may encourage on-line applications. Finally, as the sniffer operation is explained here with examples, this text may serve as a reference guide for potential user´s.
  • Keywords
    ANSI standards; C language; Internet; bioelectric potentials; biomechanics; biomedical telemetry; brain-computer interfaces; cognition; data acquisition; data analysis; electroencephalography; electronic data interchange; local area networks; medical signal processing; signal classification; synchronisation; telemedicine; ANSI C; BrainNet36 device application; Brazilian EEG device; EEG research; EP calculation; ERD calculation; ERS calculation; Ethernet sniffer programming; brain-computer interfaces; clinical application; electroencephalographic data acquisition; event-related desynchronization calculation; event-related synchronization calculation; evoked potential calculation; mental task classification success rate; noise effect; offline EEG analysis; online EEG acquisition; online EEG data export; online applications; online motor mental task classification; online no motor mental task classification; packet loss; polysomnography application; single-switch BCI programming; sniffer operation; Educational institutions; Electrodes; Electroencephalography; MATLAB; Noise; Protocols; Scalp; Brain-computer interfaces; BrainNet36®; EEG acquisition; Ethernet sniffer; Event-related potentials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biosignals and Biorobotics Conference (2014): Biosignals and Robotics for Better and Safer Living (BRC), 5th ISSNIP-IEEE
  • Conference_Location
    Salvador
  • Print_ISBN
    978-1-4799-5688-3
  • Type

    conf

  • DOI
    10.1109/BRC.2014.6880964
  • Filename
    6880964