Resources
Resources
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Recent Talks and Ongoing Projects
Talks
Talks
Reliable sleep staging of unseen subjects with fusion of multiple EEG features and rusboost
Reliable sleep staging of unseen subjects with fusion of multiple EEG features and rusboost
An efficient sleep scoring method using visibility graph and temporal features of single channel EEG
An efficient sleep scoring method using visibility graph and temporal features of single channel EEG
Binary state prediction of sleep or wakefulness using EEG and EOG features
Binary state prediction of sleep or wakefulness using EEG and EOG features
Ongoing Research projects
Ongoing Research projects
ECG emotion recognition
ECG emotion recognition
Description:
Epileptic seizure detection using EEG
Epileptic seizure detection using EEG
Description: This project utilizes the multi-channel EEG data to detect the onset of epileptic seziure.
Sleep disorders diagnosis and sleep staging utilizing EEG & EOG data
Sleep disorders diagnosis and sleep staging utilizing EEG & EOG data
Description: This project aims to develop an automated system for sleep disorder diagnosis and sleep stage classification using Electroencephalography (EEG) and Electrooculography (EOG) signals. By analyzing physiological data collected during sleep, the system seeks to accurately identify different sleep stages (Wake, N1, N2, N3, and REM) and detect potential sleep disorders such as insomnia, sleep apnea, and narcolepsy. The project leverages signal processing and machine learning/deep learning techniques to improve diagnostic accuracy, reduce manual scoring efforts, and support healthcare professionals in sleep assessment and treatment planning.
Prognosis of Parkinson's disease using smart wearables
Prognosis of Parkinson's disease using smart wearables
Description:
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