Review on Classification Techniques used in Biophysiological Stress Monitoring
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 …
condition. Stress, based on its intensity, can be divided into two types ie Acute stress (short …
Classification of perceived human stress using physiological signals
In this paper, we present an experimental study for the classification of perceived human
stress using non-invasive physiological signals. These include electroencephalography …
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 …
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 …
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 …
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 …
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) …
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 …
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 …
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 …
extensively investigated physiological signals as quantitative and continuous markers of …