AIMC Topic: Stress, Psychological
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Classification of mindfulness experiences from gamma-band effective connectivity: Application of machine-learning algorithms on resting, breathing, and body scan.
Computer methods and programs in biomedicine
Sep 28, 2024
BACKGROUND AND OBJECTIVE: Practicing mindfulness is a mental process toward interoceptive awareness, achieving stress reduction and emotion regulation through brain-function alteration. Literature has shown that electroencephalography (EEG)-derived c...
Machine learning-enabled mental health risk prediction for youths with stressful life events: A modelling study.
Journal of affective disorders
Sep 19, 2024
BACKGROUND: Youths face significant mental health challenges exacerbated by stressful life events, particularly in the context of the COVID-19 pandemic. Immature coping strategies can worsen mental health outcomes.
Assessing the nonlinear impact of green space exposure on psychological stress perception using machine learning and street view images.
Frontiers in public health
Sep 18, 2024
INTRODUCTION: Urban green space (GS) exposure is recognized as a nature-based strategy for addressing urban challenges. However, the stress relieving effects and mechanisms of GS exposure are yet to be fully explored. The development of machine learn...
Examining worry and secondary stressors on grief severity using machine learning.
Anxiety, stress, and coping
Aug 21, 2024
BACKGROUND & OBJECTIVES: Worry and loss-related secondary stressors appear to be important correlates of problematic grief responses. However, the relative importance of these variables in the context of established correlates of grief responding, ra...
Machine Learning, Deep Learning, and Data Preprocessing Techniques for Detecting, Predicting, and Monitoring Stress and Stress-Related Mental Disorders: Scoping Review.
JMIR mental health
Aug 21, 2024
BACKGROUND: Mental stress and its consequent mental health disorders (MDs) constitute a significant public health issue. With the advent of machine learning (ML), there is potential to harness computational techniques for better understanding and add...
Decoding IBS: a machine learning approach to psychological distress and gut-brain interaction.
BMC gastroenterology
Aug 15, 2024
PURPOSE: Irritable bowel syndrome (IBS) is a diagnosis defined by gastrointestinal (GI) symptoms like abdominal pain and changes associated with defecation. The condition is classified as a disorder of the gut-brain interaction (DGBI), and patients w...
An Explainable Deep Learning Approach for Stress Detection in Wearable Sensor Measurements.
Sensors (Basel, Switzerland)
Aug 6, 2024
Stress has various impacts on the health of human beings. Recent success in wearable sensor development, combined with advancements in deep learning to automatically detect features from raw data, opens several interesting applications related to det...
A machine-learning approach for stress detection using wearable sensors in free-living environments.
Computers in biology and medicine
Jul 18, 2024
Stress is a psychological condition resulting from the body's response to challenging situations, which can negatively impact physical and mental health if experienced over prolonged periods. Early detection of stress is crucial to prevent chronic he...
Deep learning-based stress detection for daily life use using single-channel EEG and GSR in a virtual reality interview paradigm.
PloS one
Jul 3, 2024
This research aims to establish a practical stress detection framework by integrating physiological indicators and deep learning techniques. Utilizing a virtual reality (VR) interview paradigm mirroring real-world scenarios, our focus is on classifyi...
A Deep Learning Approach to Estimate Multi-Level Mental Stress From EEG Using Serious Games.
IEEE journal of biomedical and health informatics
Jul 2, 2024
Stress is revealed by the inability of individuals to cope with their environment, which is frequently evidenced by a failure to achieve their full potential in tasks or goals. This study aims to assess the feasibility of estimating the level of stre...
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