CORDIS Project
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The project aims to develop neuromorphic systems that efficiently detect and classify electrophysiological signals like EEG and EMG. By utilizing advanced materials and computing techniques, it seeks to enhance the accuracy and energy efficiency of digital biomarkers for health monitoring and brain-computer interfaces.
The detection and classification of electrophysiological signals (EPSs), such as electroencephalography (EEG) and electromyography (EMG) recordings, are the gold standard in neuroscience, enabling the identification of digital biomarkers capable of health monitoring, personalised medicine and advanced brain-computer interfaces (BCIs).
The state-of-the-art technology in this field, however, still relies on bulky, inefficient microelectronic systems which relies on artificial intelligence (AI) in…
POLITECNICO DI MILANO
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