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
Results - Fixed Challenge
- 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.
The open challenge aims at increasing the overall creativity of neurotech students. All projects related to neurotechnologies are allowed. Specific rules are listed hereafter:
- 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:
- Your body is the input: EEG, ECG, EMG, EOG, GSR, temperature, blood pressure, etc.
- Cognitive neuroscience
- Computational neuroscience
- A prototype is mandatory.
- A proposal of the project should be submitted and approved at least 2 month prior.
- 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.
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):
- Develop an home-made acquisition board, with at least 1 channel
- Total cost of board must not exceed 1000 USD (excluding R&D)
- Signal processing
- Focus on signal of interest (EEG) and remove artifacts and noise
- Data transmission
- Data must be acquired with a speed of at least 200 Hz
- Transmitted to a distant computer wirelessly or not
- Real-time visualization
- Real-time visualization of signal in the time and frequency domains, for each acquisition channel
- An “alpha mode” must enable the easy characterization of the alpha band power, following a open/close paradigm
- Data recording
- Data must be stored on a computer with appropriate data format for latter use
Link to 2020 competition rules
- 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.