Classification of alcoholic EEG signals using wavelet scattering transform-based features
Following the research question and the relevant dataset, feature extraction is the most
important component of machine learning and data science pipelines. The wavelet …
important component of machine learning and data science pipelines. The wavelet …
A Review of EEG-based Prediction of Microsleep
Microsleep is a brief, complete, and unintentional sleep-related loss of consciousness. The
duration of microsleeps andthe probability of accidents are highly correlated. In extended …
duration of microsleeps andthe probability of accidents are highly correlated. In extended …
Reservoir computing approaches to microsleep detection
SJ Weddell, S Ayyagari, RD Jones - Journal of Neural …, 2021 - iopscience.iop.org
Objective. The detection of microsleeps in a wide range of professionals working in high-risk
occupations is very important to workplace safety. A microsleep classifier is presented that …
occupations is very important to workplace safety. A microsleep classifier is presented that …
[PDF][PDF] Reservoir Computing Approaches to Microsleep Detection
The detection of microsleeps in a wide range of professionals working in high-risk
occupations is very important to workplace safety. A microsleep classifier is presented that …
occupations is very important to workplace safety. A microsleep classifier is presented that …