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 …
WAKE: a behind-the-ear wearable system for microsleep detection
Microsleep, caused by sleep deprivation, sleep apnea, and narcolepsy, costs the US's
economy more than $411 billion/year because of work performance reduction, injuries, and …
economy more than $411 billion/year because of work performance reduction, injuries, and …
Joint spatial and temporal features extraction for multi-classification of motor imagery EEG
X Jia, Y Song, L Yang, L Xie - Biomedical Signal Processing and Control, 2022 - Elsevier
The application of brain-computer interface (BCI) has always been limited by low decoding
accuracy due to excessive noise in electroencephalogram (EEG) signals. The traditional …
accuracy due to excessive noise in electroencephalogram (EEG) signals. The traditional …
Spectral analysis of EEG during microsleep events annotated via driver monitoring system to characterize drowsiness
C Wang, B Guragain, AK Verma… - … on Aerospace and …, 2019 - ieeexplore.ieee.org
Drowsiness detection has a significant importance in aviation industry.
Electroencephalogram (EEG) has been extensively studied to characterize drowsiness; …
Electroencephalogram (EEG) has been extensively studied to characterize drowsiness; …
[HTML][HTML] Working memory training and evaluation based on brain-computer interface and virtual reality: our opinion
D Duan, Z Wu, Y Zhou, X Wan, D Wen - Frontiers in Human …, 2023 - frontiersin.org
Working memory (WM) is the cognitive system necessary for the temporary storage and
manipulation of information during complex tasks like reasoning, comprehension, and …
manipulation of information during complex tasks like reasoning, comprehension, and …
Multimodal emotion classification method and analysis of brain functional connectivity networks
Since multimodal emotion classification in different human states has rarely been studied,
this paper explores the emotional mechanisms of the brain functional connectivity networks …
this paper explores the emotional mechanisms of the brain functional connectivity networks …
Detection of microsleep events with a behind-the-ear wearable system
Every year, the US economy loses more than 411 billion because of work performance
reduction, injuries, and traffic accidents caused by microsleep. To mitigate microsleep's …
reduction, injuries, and traffic accidents caused by microsleep. To mitigate microsleep's …
Detection of microsleep states from the EEG: a comparison of feature reduction methods
SSDP Ayyagari, RD Jones, SJ Weddell - Medical & Biological …, 2021 - Springer
Microsleeps are brief lapses in consciousness with complete suspension of performance.
They are the cause of fatal accidents in many transport sectors requiring sustained attention …
They are the cause of fatal accidents in many transport sectors requiring sustained attention …
EEG-based machine learning: Theory and applications
R Shoorangiz, SJ Weddell, RD Jones - Handbook of Neuroengineering, 2023 - Springer
Electroencephalography is a widely used clinical and research method to record and
monitor the brain's electrical activity–the electroencephalogram (EEG). Machine learning …
monitor the brain's electrical activity–the electroencephalogram (EEG). Machine learning …
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 …