Wireless EEG Acquisition and Processing
The neural activity of the human brain is typically recorded with non-invasive electroencephalography (EEG). This is often done with large and cumbersome to-wear systems that often stigmatize the user. Small and energy-efficient systems are therefore preferred, and one major aspect that these systems must incorporate is wireless functionality, i.e., be able to transmit acquired data to a processing unit that is not worn directly on the head. This must then be done in a way which the data is transmitted with short delay to the processing unit.
In this project, the student works with an EEG headband with dry and wet electrodes attached to it and the BioWolf wearable ExG device, which has the PULP Mr. Wolf multicore processor on board. The project’s goal is to design a system capable of acquiring reliable EEG signals during motion, transmitting them wirelessly with BioWolf in real time. An on-board accelerometer will empower the student to perform sensor fusion and compensate the EEG signals from motion artifacts. The student will: - optimize the design of the headband, for optimal electrode positioning and comfort - implement sensor fusion strategies, between EEG and accelerometer - implement the algorithms on the Mr. Wolf microcontroller
- Looking for Semester and Master Project Students
- Supervision: Thorir Mar Ingolfsson, Andrea Cossettini, Simone Benatti
- 20% literature review
- 80% Implementation
- V. Kartsch et. al., BioWolf: A Sub-10-mW 8-Channel Advanced Brain–Computer Interface Platform With a Nine-Core Processor and BLE Connectivity