[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 …
A machine-learning approach for stress detection using wearable sensors in free-living environments
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 …
situations, which can negatively impact physical and mental health if experienced over …
Classification of mental workload in Human-robot collaboration using machine learning based on physiological feedback
CJ Lin, RP Lukodono - Journal of Manufacturing Systems, 2022 - Elsevier
The development of the industry phase from 4.0 into 5.0 is shifting the focus from technology-
driven to value-driven to empower and engage humans in the work environment with …
driven to value-driven to empower and engage humans in the work environment with …
Application of a mobile health data platform for public health surveillance: A case study in stress monitoring and prediction
Background Public health surveillance involves the collection, analysis and dissemination of
data to improve population health. The main sources of data for public health decision …
data to improve population health. The main sources of data for public health decision …
A machine-learning Approach for Stress Detection Using Wearable Sensors in Free-living Environments
Stress is a psychological condition due to the body's response to a challenging situation. If a
person is exposed to prolonged periods and various forms of stress, their physical and …
person is exposed to prolonged periods and various forms of stress, their physical and …
Physiological Signal Data-Driven Workplace Stress Detection Among Healthcare Professionals Using BiLSTM-AM and Ensemble Stacking Models
The multifaceted nature of workplace stress in the healthcare sector is compounded by the
physiological variances inherent to each individual. The challenge is further augmented by …
physiological variances inherent to each individual. The challenge is further augmented by …
Toward Detecting and Explaining Stress of Nurses Using Wearable Devices and LLMs
In this paper, we improve nurse stress detection using wearable device data by balancing
the dataset through Large Language Models (LLMs). The rise in wearable technologies has …
the dataset through Large Language Models (LLMs). The rise in wearable technologies has …
Use of Smart Technology Tools for Supporting Public Health Surveillance: From Development of a Mobile Health Platform to Application in Stress Prediction
PE Velmovitsky - 2023 - uwspace.uwaterloo.ca
BACKGROUND Traditional public health data collection methods are typically based on self-
reported data and may be subject to limitations such as biases, delays between collection …
reported data and may be subject to limitations such as biases, delays between collection …
[PDF][PDF] USO DE SENSORES BIOMÉTRICOS EN LA INVESTIGACIÓN DEL ESTRÉS Y LA FUNCIÓN AUTONÓMICA DE PERSONAS CON CONDICIONES DEL …
MLB SEDANO - repositorio.upch.edu.pe
Se han descrito diferencias en la función autonómica en personas con condiciones del
espectro autista en estado de reposo y estrés. Estas diferencias pueden estar asociadas a …
espectro autista en estado de reposo y estrés. Estas diferencias pueden estar asociadas a …
PROTOTIPO PARA LA GESTIÓN Y TRATAMIENTO DE DATOS DE DISPOSITIVOS PONIBLES (WEARABLES)
J Fernández-Espantaleón - 2023 - crea.ujaen.es
El avance en la tecnología ha permitido el desarrollo de pequeños dispositivos ponibles,
que pueden ser llevados en el cuerpo y al mismo tiempo son capaces de obtener diversos …
que pueden ser llevados en el cuerpo y al mismo tiempo son capaces de obtener diversos …