Streamlining Data Collection: A Platform Supporting the Design of Acquisition Protocols of Brain Signals

Neurorehabilitation is essential for improving the quality of life for individuals with neurological disorders or conditions. Brain-computer interfaces (BCIs) have emerged as a promising tool for enhancing neurorehabilitation efforts. BCIs can be used for diagnosis, monitoring, cognitive rehabilitation, and as assistive devices, improving the quality of life for patients with neurological conditions. BCIs provide real-time feedback, enabling patients to better understand their brain activity and improve their performance during rehabilitation. The goal of our work is the definition of a platform that will simplify the collection of brain signals within the healthcare domain. The platform aims to enable the creation of customisable data collection protocols to study brain activity in response to specific stimuli or track changes in brain activity over time. Improved diagnosis, personalized treatment plans, and ultimately, enhanced quality of life for individuals undergoing neurorehabilitation are among the potential benefits of this platform. Moreover, this platform is being developed as an open-source initiative, with the aim of encouraging collaboration, knowledge sharing, and future developments.