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Found 4 papers, 2 papers with code
Multimodal wearable EEG, EMG and accelerometry measurements improve the accuracy of tonic-clonic seizure detection in-hospital
The combination of wearable EEG and EMG achieved overall the most clinically useful performance in offline TCS detection with a sensitivity of 97. 7%, a FPR of 0. 4/24 h, a precision of 43. 0%, and a F1-score of 59. 7%.
Automated Movement Detection with Dirichlet Process Mixture Models and Electromyography
This study proposes a framework for automated limb-movement detection by fusing data from two EMG sensors (from the left and right limb) through a Dirichlet process mixture model.
Screening for REM Sleep Behaviour Disorder with Minimal Sensors
This study investigates a minimal set of sensors to achieve effective screening for RBD in the population, integrating automated sleep staging (three state) followed by RBD detection without the need for cumbersome electroencephalogram (EEG) sensors.
Detection of REM Sleep Behaviour Disorder by Automated Polysomnography Analysis
This study also achieved automated sleep staging with a level of accuracy comparable to manual annotation.
