Treballs Fi de GrauEnginyeria Electrònica, Elèctrica i Automàtica

Design and implementation of a functional SSVEP-based Brain Computer Interface

  • Identification data

    Identifier:  TFG:8908
    Authors:  Navarro González, Mario
    Abstract:
    In the present project, a new Electroencephalogram (EEG) Brain Computer Interface (BCI) has been implemented, the BCI is Steady State Visual Evoked Potential (SSVEP) based, namely, when the user stares to an objective that is blinking at a defined frequency, this same frequency should appear on the spectrum of the EEG when measuring on the occipital lobe. The circuit has been designed and made using Sallen-Key Filters, Amplifiers and the Arduino MKR1010 microcontroller. It has also been tested an implemented a self-new algorithm for the detection of the correct SSVEP frequency.
  • Others:

    Access rights: info:eu-repo/semantics/openAccess
    Education area(s): Enginyeria de Sistemes i Serveis de Telecomunicacions
    Department: Enginyeria Electrònica, Elèctrica i Automàtica
    Entity: Universitat Rovira i Virgili (URV)
    Confidenciality: No
    Subject: Oftalmologia
    Project director: Romero Nevado, Alfonso
    Work's public defense date: 2024-09-16
    Creation date in repository: 2025-10-09
    Language: en
    Academic year: 2023-2024
    Student: Navarro González, Mario
  • Keywords:

    Brain Computer Interface
    Telecommunications engineering
  • Documents:

  • Cerca a google

    Search to google scholar