Classification of mental stress from wearable physiological sensors using image-encoding-based deep neural network

S Ghosh, SK Kim, MF Ijaz, PK Singh, M Mahmud - Biosensors, 2022 - mdpi.com
The human body is designed to experience stress and react to it, and experiencing
challenges causes our body to produce physical and mental responses and also helps our …

Context-Aware Approaches in IoT-based Healthcare Systems using Deep Learning Techniques: A Study

KL Prasanna, YN Rao - 2024 3rd International Conference on …, 2024 - ieeexplore.ieee.org
Health-related technologies are starting to make use of context awareness, a pervasive
computing field that has begun to impact healthcare infrastructure. People and healthcare …

Efficient feature-selection-based stacking model for stress detection based on chest electrodermal activity

A Almadhor, GA Sampedro, M Abisado, S Abbas - Sensors, 2023 - mdpi.com
Contemporary advancements in wearable equipment have generated interest in
continuously observing stress utilizing various physiological indicators. Early stress …

Stress detection using context-aware sensor fusion from wearable devices

N Rashid, T Mortlock… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Wearable medical technology has become increasingly popular in recent years. One
function of wearable health devices is stress detection, which relies on sensor inputs to …

[HTML][HTML] Improved method for stress detection using bio-sensor technology and machine learning algorithms

M Nazeer, S Salagrama, P Kumar, K Sharma… - MethodsX, 2024 - Elsevier
Maintaining an optimal stress level is vital in our lives, yet many individuals struggle to
identify the sources of their stress. As emotional stability and mental awareness become …

[图书][B] Efficient Digital Health Solutions Using Wearable Devices

N Rashid - 2023 - search.proquest.com
With the advancement of technology and the prevalence of Internet of Things (IoT), wearable
devices have been gaining huge momentum as consumer devices over the past few years …

[图书][B] Machine Learning Techniques for Low-Power Mobile Health Systems

L Chen - 2023 - search.proquest.com
With ever-growing interests in personalized physical and mental healthcare, especially with
the recent COVID-19 pandemic, along with the proliferation of applied machine learning …

[图书][B] Mobile Health Monitoring on Low-power Wearable Devices based on EEG and ECG Signals

BU Demirel - 2022 - search.proquest.com
The recent developments in signal processing, machine learning, and smart sensing
technology allow real-time monitoring and recording of bio-signals, especially the …