Machine learning for anxiety detection using biosignals: a review
Anxiety disorder (AD) is a major mental health illness. However, due to the many symptoms
and confounding factors associated with AD, it is difficult to diagnose, and patients remain …
and confounding factors associated with AD, it is difficult to diagnose, and patients remain …
[HTML][HTML] Wearable artificial intelligence for detecting anxiety: systematic review and meta-analysis
Background Anxiety disorders rank among the most prevalent mental disorders worldwide.
Anxiety symptoms are typically evaluated using self-assessment surveys or interview-based …
Anxiety symptoms are typically evaluated using self-assessment surveys or interview-based …
EEG channel selection-based binary particle swarm optimization with recurrent convolutional autoencoder for emotion recognition
Electroencephalography (EEG) signals can demonstrate the activities of the human brain
and recognize different emotional states. Emotion recognition based on full EEG channels …
and recognize different emotional states. Emotion recognition based on full EEG channels …
Automated anxiety detection using probabilistic binary pattern with ECG signals
Background and aim Anxiety disorder is common; early diagnosis is crucial for
management. Anxiety can induce physiological changes in the brain and heart. We aimed to …
management. Anxiety can induce physiological changes in the brain and heart. We aimed to …
A comprehensive exploration of machine learning techniques for EEG-based anxiety detection
M Aldayel, A Al-Nafjan - PeerJ Computer Science, 2024 - peerj.com
The performance of electroencephalogram (EEG)-based systems depends on the proper
choice of feature extraction and machine learning algorithms. This study highlights the …
choice of feature extraction and machine learning algorithms. This study highlights the …
Enhancing generalized anxiety disorder diagnosis precision: MSTCNN model utilizing high-frequency EEG signals
W Liu, G Li, Z Huang, W Jiang, X Luo, X Xu - Frontiers in Psychiatry, 2023 - frontiersin.org
Generalized Anxiety Disorder (GAD) is a prevalent mental disorder on the rise in modern
society. It is crucial to achieve precise diagnosis of GAD for improving the treatments and …
society. It is crucial to achieve precise diagnosis of GAD for improving the treatments and …
Analysis of Altered Brain Dynamics During Episodic Recall and Detection of Generalized Anxiety Disorder
Numerous blood oxygenation level-dependent (BOLD) imaging studies have shown that
generalized anxiety disorder (GAD) can lead to abnormal activation of specific brain regions …
generalized anxiety disorder (GAD) can lead to abnormal activation of specific brain regions …
Integrating EEG and Ensemble Learning for Accurate Grading and Quantification of Generalized Anxiety Disorder: A Novel Diagnostic Approach
X Luo, B Zhou, J Fang, Y Cherif-Riahi, G Li, X Shen - Diagnostics, 2024 - mdpi.com
Current assessments for generalized anxiety disorder (GAD) are often subjective and do not
rely on a standardized measure to evaluate the GAD across its severity levels. The lack of …
rely on a standardized measure to evaluate the GAD across its severity levels. The lack of …
TAGformer: A Multimodal Physiological Signals Fusion Network for Pilot Stress Recognition
S Wang, Y Li, T Zhang, K Li - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Pilot stress recognition is crucial for safe and smooth flight, while heightened stress can
significantly impede pilots' capacity to respond to potential dangers. Recent research has …
significantly impede pilots' capacity to respond to potential dangers. Recent research has …
Brain-Metaverse Interaction for Anxiety Regulation
Metaverse has become a powerful tool for conducting research in many domains, including
education, social science, and healthcare. It mixes the virtual and physical environments …
education, social science, and healthcare. It mixes the virtual and physical environments …