NeuroTechX Student Clubs Competition 2020



Here are the winners of the 2020 NeuroTechX Student Club Competition.


  • Open Challenge 1st place: McGill NeuroTech, McGill University
  • Open Challenge 2nd place: PolyCortex, Polytechnique Montreal
  • Fixed Challenge 1st place: MINT, The University of British Columbia (UBC)

Links to their amazing projects

>>> All projects:

Congratulations to all participating student clubs! We know that this year was quite unique and challenging for many. We're happy to see that many clubs were able to re-adjust and still work on exciting neurotech projects!

Results - Open Challenge

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Results - Fixed Challenge

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Participation rules

  • The team must be composed of at least three (3) undergraduate students from the same university (or campus). Make sure you can use your university name.
  • The team must have a web page with a team name & administrators (point of contact). 

The NeuroTechX SC Online Competition has two components: a fixed challenge and an open challenge.

All team must submit a 10-min video including a presentation and a demonstration of the project, for both challenges. All team must also provide a public GitHub repository, including the project components and a comprehensive description with all the steps to reproduce it. The deadline for submitting a project to any of the two challenges is TBD. All projects must be reproducible and open-source.

Open challenge

The open challenge aims at increasing the overall creativity of neurotech students. All projects related to neurotechnologies are allowed. Specific rules are listed hereafter:

  1. The project has to be related to neurotechnology, but there is no restriction on the type of project, it could be an art project, a game, a medical solution, etc.
    Here is a non-exhaustive list of neuro-tech-related fields:
    1. Your body is the input: EEG, ECG, EMG, EOG, GSR, temperature, blood pressure, etc.
    2. Cognitive neuroscience
    3. Computational neuroscience
    4. Neuroimaging
    5. etc.
  2. A prototype is mandatory.
  3. A proposal of the project should be submitted and approved at least 2 month prior.
  4. While re-doing existing projects is valuable, something ‘novel’ is expected. #NeuroInnovation

Replicating existing technologies is allowed and will not be undervalued.

A EEG dataset is suggested for software and EEG-oriented project but not mandatory.

Fixed challenge

The fixed challenge aims at increasing the general knowledge of neurotech students by challenging them to build a fully home-made acquisition pipeline for EEG signals, including the following five stages (stages 2 and 3 can be switched depending on stage 1), with variable constraints from year to year.

Each stage has specific objectives (italic items is required):

  1. Acquisition
    1. Develop an home-made acquisition board, with at least 1 channel
    2. Total cost of board must not exceed 1000 USD (excluding R&D)
  2. Signal processing
    1. Focus on signal of interest (EEG) and remove artifacts and noise
  3. Data transmission
    1. Data must be acquired with a speed of at least 200 Hz
    2. Transmitted to a distant computer wirelessly or not
  4. Real-time visualization
    1. Real-time visualization of signal in the time and frequency domains, for each acquisition channel
    2. An “alpha mode” must enable the easy characterization of the alpha band power, following a open/close paradigm
  5. Data recording
    1. Data must be stored on a computer with appropriate data format for latter use

2020 constraints

  • Acquisition of EEG signal is recommended (pipeline could be presented with EMG or ECG).
  • Acquisition chips such as ADS1299 are accepted.
  • PCB are highly recommended (not mandatory).
  • Open-source libraries for data transmission and visualization are allowed, full package such as OpenVibe are not allowed.
Link to 2020 competition rules
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