1 citations · 2 across the 5 of their papers we have counts for
5 papers
Circadian Phase Locking of Epilepsy Seizures in Wearable Data: A Single-Patient Case Study
Berenika Ewart-James, Matthew Wragg, Nawid Keshtmand +3
Epilepsy is a common, chronic neurological disorder characterized by recurrent seizures caused by sudden bursts of abnormal electrical activity in the brain. Seizures can often be…
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…
Transfer Learning and Class Decomposition for Detecting the Cognitive Decline of Alzheimer Disease
Maha M. Alwuthaynani, Zahraa S. Abdallah, Raul Santos-Rodriguez
Early diagnosis of Alzheimer's disease (AD) is essential in preventing the disease's progression. Therefore, detecting AD from neuroimaging data such as structural magnetic resonan…
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…