The applied principles of EEG analysis methods in neuroscience and clinical neurology
H Zhang, QQ Zhou, H Chen, XQ Hu, WG Li, Y Bai… - Military Medical …, 2023 - Springer
Electroencephalography (EEG) is a non-invasive measurement method for brain activity.
Due to its safety, high resolution, and hypersensitivity to dynamic changes in brain neural …
Due to its safety, high resolution, and hypersensitivity to dynamic changes in brain neural …
[HTML][HTML] Validation and interpretation of a multimodal drowsiness detection system using explainable machine learning
Background and objective Drowsiness behind the wheel is a major road safety issue with
efforts focused on developing drowsy driving detection systems. However, most drowsy …
efforts focused on developing drowsy driving detection systems. However, most drowsy …
A Review of EEG-Based Computer-Aided Detection of Brain Disorders Using a Different Strategy
S Shanmugam, M Radhakrishnan - … Interventions for Business …, 2023 - igi-global.com
The human brain plays a significant role in controlling the behavior of the human body with
respect to sensory stimuli, external/internal motor stimuli, and so on. EEG signals are …
respect to sensory stimuli, external/internal motor stimuli, and so on. EEG signals are …
Analysis of a Backpropagation Neural Network Training Algorithm for EEG-Based Drowsiness Identification
A Rahmawati, MAS Yudono… - … on Radar, Antenna …, 2023 - ieeexplore.ieee.org
Drowsiness, a major cause of car accidents, is detectable through EEG signal feature
classification. This study emphasizes machine learning for EEG signal analysis, focusing on …
classification. This study emphasizes machine learning for EEG signal analysis, focusing on …