Overview

An approx. 20 pound (GBP) open-source electroencephalogram (EEG)-based brain-computer interface (BCI) design intended to offer a financially and operationally accessible device that can be deployed on a mass scale to facilitate education and public engagement in the domain of EEG sensing and neurotechnologies. It is easy to use, with no specialized equipment required.

SSVEP EEG BCI

Features

  • Single channel bipolar EEG recording
  • Adjustable headset with 3 dry electrodes
  • Cross platform and device User Interface for production of Steady State Visually Evoked Potential (SSVEP) signals, at 3 frequencies
  • On-device signal processing and decoding

Applications

  • Education and public engagement in EEG sensing and neurotechnology
  • Research

Resources

Publications

  • James Teversham, Steven Wong, Bryan Hsieh, Adrien Rapeaux, Francesca Troiani, Oscar Savolainen, Zheng Zhang, Michal Maslik, Timothy Constandinou, "Development of an Ultra Low-Cost SSVEP-based BCI Device for Real-Time On-Device Decoding", bioRxiv 2022.01.29.478203; doi: https://doi.org/10.1101/2022.01.29.4782

Photo of RIshil Patel wearing EEG BCI headset
Photo of Rishil Patel (rishil.patel18@imperial.ac.uk) wearing EEG Headset (SSVEP-based BCI Platform)