ravikiranrao/PD-EEG
Automated Parkinson's Disease Detection and Affective Analysis from Emotional EEG Signals
This project helps neurologists and clinical researchers use emotional EEG signals to identify Parkinson's disease (PD) and analyze emotional responses in patients. By inputting raw EEG data, it provides automated classifications of whether a patient has PD versus being a healthy control, and insights into how PD affects the perception of different emotions. This tool is designed for medical professionals and researchers studying neurological disorders.
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Use this if you are a neurologist or researcher looking for an automated, non-invasive method to aid in Parkinson's disease diagnosis and to study emotion recognition impairments using EEG data.
Not ideal if you are looking for a general-purpose EEG analysis tool unrelated to Parkinson's disease or emotion perception.
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Last pushed
Jul 18, 2023
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