Review on Classification Techniques used in Biophysiological Stress Monitoring

T Iqbal, A Elahi, A Shahzad, W Wijns - arXiv preprint arXiv:2210.16040, 2022 - arxiv.org
Cardiovascular activities are directly related to the response of a body in a stressed
condition. Stress, based on its intensity, can be divided into two types ie Acute stress (short …

Classification of perceived human stress using physiological signals

A Arsalan, M Majid, SM Anwar… - 2019 41st Annual …, 2019 - ieeexplore.ieee.org
In this paper, we present an experimental study for the classification of perceived human
stress using non-invasive physiological signals. These include electroencephalography …

Comparison of machine learning techniques for psychophysiological stress detection

E Smets, P Casale, U Großekathöfer… - … Paradigms for Mental …, 2016 - Springer
Previous research has indicated that physiological signals can be used to detect mental
stress. There is however no consensus on the optimal algorithm for this detection. The aim of …

Determination of stress in humans using data fusion of off-the-shelf wearable sensors data for electrocardiogram and galvanic skin response

O Jeroh - 2018 - search.proquest.com
Stress detection helps individuals understand their stress levels and advises them when to
take a break from activities causing stress. Physical activities and environmental influences …

Ecg based stress detection using machine learning

P Manimeghalai, PK Jayalakshmi… - … on Advances in …, 2022 - ieeexplore.ieee.org
Today, the endeavour of accomplishment and performance has increased the efficiency
immensely, yet it comes with its own price. There has been a drastic increase in the …

Detection of stress level and phases by advanced physiological signal processing based on fuzzy logic

U Zalabarria, E Irigoyen, R Martínez… - … Joint Conference SOCO …, 2017 - Springer
Stress has a big impact in the current society, being the cause or the incentive of several
diseases. Therefore, its detection and monitorization has been the focus of a big number of …

Multiple physiological signal-based human stress identification using non-linear classifiers

K Palanisamy, M Murugappan… - Elektronika ir …, 2013 - eejournal.ktu.lt
This paper describes the human stress identification using multiple physiological signals.
The Electrocardiogram (ECG), Electromyogram (EMG), Heart Rate Variability (HRV) …

Continuous mental stress level assessment using electrocardiogram and electromyogram signals

S Pourmohammadi, A Maleki - Biomedical Signal Processing and Control, 2021 - Elsevier
Stress endangers the mental and physical health of individuals and also has a major impact
on society. Accurate, reliable and quantitative measurement of stress leads to detect the …

[PDF][PDF] Signal Processing and Machine Learning Algorithms for Stress Monitoring using Wearable Sensor Technologies

T Iqbal - 2023 - aran.library.nuigalway.ie
Stress is a known contributor to several life-threatening medical conditions and a risk factor
for triggering acute cardiovascular events, as well as a root cause of several social …

Into the wild: the challenges of physiological stress detection in laboratory and ambulatory settings

E Smets, W De Raedt… - IEEE journal of biomedical …, 2018 - ieeexplore.ieee.org
Stress and mental health have become major concerns worldwide. Research has already
extensively investigated physiological signals as quantitative and continuous markers of …