Bio Lab in ear to predict fatigue

Ildar Rakhmatulin (Heriot-Watt University)

Hardware technology has reached a stage where once-laboratory-bound concepts are now feasible for real-world applications. Brain-computer interfaces (BCIs) are transitioning from research settings to public accessibility, albeit with limitations due to the non-stationary nature of EEG signals and the presence of artifacts. This seminar explores a project focusing on fatigue detection in athletes using EEG signals from an engineering perspective. Key areas of discussion include hardware implications, data readout mechanisms, signal processing techniques, and data retrieval methods. Challenges related to fatigue detection, including signal variability and artifact interference, will be addressed, alongside prospects for advancements in this domain. By delving into the technical intricacies and potential solutions, this seminar aims to shed light on the evolving landscape of BCI applications in fatigue monitoring, with implications for various fields beyond athletics.

In-person: DB 1.14, Heriot-Watt University, Edinburgh;
Online: click ‘Join via MS Teams’.