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Restoring Emotional Stability through Neurofeedback and AI for Transformative Empowerment

CORDIS · observation · Publication date unknown

bo), and control groups. A collaboration with the National Kaohsiung Medical University (Taiwan) will add a second NF dataset of 60 subjects. The second goal entails advancing the validation of novel deep learning algorithms for EEG time-series data analysis and testing generalization to different cultural datasets, deploying them to predict the success of NF—a key challenge within the field. By incorporating a startup into the project, we will explore the industrial potential of this research. As such, through RESoNATE and its objectives psychiatrists, psychologists, AI experts, and industrial innovators will come together to advance mental health interventions and explore the boundaries of state-of-the-art AI methods, unlocking new research avenues and market opportunities. emotion regulation, neurofeedback, non-invasive neuromodulation, electrophysiology, self-regulation technique, machine-learning, deep learning

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recordType

award

status

SIGNED

region

EU

value

244893.6

unit

EUR