Research Methodology Overview
We utilize advanced signal processing and deep learning for innovative research in movement intention decoding.
Data Collection Process
Synchronized fMRI and EEG data are collected from paralyzed patients performing imagined movement tasks.
Preprocessing Techniques
We develop preprocessing pipelines to align different temporal and spatial scales of collected data effectively.
Our novel multi-scale neural architecture decodes intended movements, enhancing accuracy and response time in evaluations.
Evaluation Metrics
Innovative Research Design Methodology
We utilize a multi-stage approach combining signal processing and deep learning to decode intended movements from paralyzed patients using synchronized fMRI and EEG data.
