1 citations · 2 across the 3 of their papers we have counts for
3 papers
KnowEEG: Explainable Knowledge Driven EEG Classification
Amarpal Sahota, Navid Mohammadi Foumani, Raul Santos-Rodriguez +1
Electroencephalography (EEG) classification has shown significant promise in applications ranging from neurodegenerative disease detection to brain-computer interfaces (BCIs). Whil…
Investigating Brain Connectivity and Regional Statistics from EEG for early stage Parkinson's Classification
Amarpal Sahota, Amber Roguski, Matthew W Jones +2
We evaluate the effectiveness of combining brain connectivity metrics with signal statistics for early stage Parkinson's Disease (PD) classification using electroencephalogram data…
Interpretable Classification of Early Stage Parkinson's Disease from EEG
Amarpal Sahota, Amber Roguski, Matthew W. Jones +4
Detecting Parkinson's Disease in its early stages using EEG data presents a significant challenge. This paper introduces a novel approach, representing EEG data as a 15-variate ser…