QuadTPat: Quadruple Transition Pattern-based explainable feature engineering model for stress detection using EEG signals
The most cost-effective data collection method is electroencephalography (EEG), which
obtains meaningful information about the brain. Therefore, EEG signal processing is crucial …
obtains meaningful information about the brain. Therefore, EEG signal processing is crucial …
Measuring Non-Typical Emotions for Mental Health: A Survey of Computational Approaches
P Kumar, A Vedernikov, X Li - arXiv preprint arXiv:2403.08824, 2024 - arxiv.org
Analysis of non-typical emotions, such as stress, depression and engagement is less
common and more complex compared to that of frequently discussed emotions like …
common and more complex compared to that of frequently discussed emotions like …
Strategies for Reliable Stress Recognition: A Machine Learning Approach Using Heart Rate Variability Features
Stress recognition, particularly using machine learning (ML) with physiological data such as
heart rate variability (HRV), holds promise for mental health interventions. However, limited …
heart rate variability (HRV), holds promise for mental health interventions. However, limited …
Evaluating the Potential of Wearable Technology in Early Stress Detection: A Multimodal Approach
BA Darwish, NM Salem, G Kareem, LN Mahmoud… - medRxiv, 2024 - medrxiv.org
Stress can adversely impact health, leading to issues like high blood pressure, heart
diseases, and a compromised immune system. Consequently, using wearable devices to …
diseases, and a compromised immune system. Consequently, using wearable devices to …
AB-BiL: A Deep Learning Model to Analyze Depression Detection in Imbalanced Data
RK Bondugula, M Gandhudi, KB Sivangi… - Smart Healthcare and …, 2024 - Springer
The usage of online resources (websites, social media, blogs, etc.) to express personal
opinions is increasing daily. Annually, there are 300+ million people depressed worldwide …
opinions is increasing daily. Annually, there are 300+ million people depressed worldwide …