A comprehensive review and analysis of supervised-learning and soft computing techniques for stress diagnosis in humans
Stress is the most prevailing and global psychological condition that inevitably disrupts the
mood and behavior of individuals. Chronic stress may gravely affect the physical, mental …
mood and behavior of individuals. Chronic stress may gravely affect the physical, mental …
[HTML][HTML] Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review
Introduction Wearable sensors have shown promise as a non-intrusive method for collecting
biomarkers that may correlate with levels of elevated stress. Stressors cause a variety of …
biomarkers that may correlate with levels of elevated stress. Stressors cause a variety of …
AI-enabled smart wristband providing real-time vital signs and stress monitoring
N Mitro, K Argyri, L Pavlopoulos, D Kosyvas… - Sensors, 2023 - mdpi.com
This work introduces the design, architecture, implementation, and testing of a low-cost and
machine-learning-enabled device to be worn on the wrist. The suggested wearable device …
machine-learning-enabled device to be worn on the wrist. The suggested wearable device …
Heart rate variability-based mental stress detection: an explainable machine learning approach
Stress may be identified by examining changes in everyone's physiological reactions. Due
to its usefulness and non-intrusive appearance, wearable devices have gained popularity in …
to its usefulness and non-intrusive appearance, wearable devices have gained popularity in …
[HTML][HTML] Ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices
Introduction: Advances in wearable sensor technology have enabled the collection of
biomarkers that may correlate with levels of elevated stress. While significant research has …
biomarkers that may correlate with levels of elevated stress. While significant research has …
[HTML][HTML] Cross dataset analysis for generalizability of HRV-based stress detection models
Stress is an increasingly prevalent mental health condition across the world. In Europe, for
example, stress is considered one of the most common health problems, and over USD 300 …
example, stress is considered one of the most common health problems, and over USD 300 …
[HTML][HTML] Machine learning, deep learning, and data preprocessing techniques for detecting, predicting, and monitoring stress and stress-related mental disorders …
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 …
significant public health issue. With the advent of machine learning (ML), there is potential to …
[HTML][HTML] Minimising redundancy, maximising relevance: HRV feature selection for stress classification
Heart rate variability serves as a valuable indicator and biomarker for stress detection and
monitoring. Feature selection, which aims to identify relevant features from a large set of …
monitoring. Feature selection, which aims to identify relevant features from a large set of …
BrainNet: an automated approach for brain stress prediction utilizing electrodermal activity signal with XLNet model
Brain stress monitoring has emerged as a critical research area for understanding and
managing stress and neurological health issues. This burgeoning field aims to provide …
managing stress and neurological health issues. This burgeoning field aims to provide …
[HTML][HTML] A comparison of personalized and generalized approaches to emotion recognition using consumer wearable devices: machine learning study
J Li, P Washington - JMIR AI, 2024 - ai.jmir.org
Background: There are a wide range of potential adverse health effects, ranging from
headaches to cardiovascular disease, associated with long-term negative emotions and …
headaches to cardiovascular disease, associated with long-term negative emotions and …