Review on psychological stress detection using biosignals
G Giannakakis, D Grigoriadis… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
This review investigates the effects of psychological stress on the human body measured
through biosignals. When a potentially threatening stimulus is perceived, a cascade of …
through biosignals. When a potentially threatening stimulus is perceived, a cascade of …
A review on mental stress assessment methods using EEG signals
Mental stress is one of the serious factors that lead to many health problems. Scientists and
physicians have developed various tools to assess the level of mental stress in its early …
physicians have developed various tools to assess the level of mental stress in its early …
Machine learning framework for the detection of mental stress at multiple levels
Mental stress has become a social issue and could become a cause of functional disability
during routine work. In addition, chronic stress could implicate several psychophysiological …
during routine work. In addition, chronic stress could implicate several psychophysiological …
Human stress classification using EEG signals in response to music tracks
Stress is inevitably experienced by almost every person at some stage of their life. A reliable
and accurate measurement of stress can give an estimate of an individual's stress burden. It …
and accurate measurement of stress can give an estimate of an individual's stress burden. It …
Mental stress detection in university students using machine learning algorithms
Mental stress is a major issue nowadays, especially among youngsters. The age that was
considered once most carefree is now under a large amount of stress. Stress increase …
considered once most carefree is now under a large amount of stress. Stress increase …
A stress sensor based on Galvanic Skin Response (GSR) controlled by ZigBee
Sometimes, one needs to control different emotional situations which can lead the person
suffering them to dangerous situations, in both the medium and short term. There are studies …
suffering them to dangerous situations, in both the medium and short term. There are studies …
A LSTM based deep learning network for recognizing emotions using wireless brainwave driven system
Positive and Negative emotions are experienced by the majority of individuals in their day-to-
day life. It is important to control access of negative emotions because it may lead to several …
day life. It is important to control access of negative emotions because it may lead to several …
EEG based stress monitoring
Everyone experiences stress in life. Moderate stress can be beneficial to human, however,
excessive stress is harmful to the health. To monitor stress, different methods can be used. In …
excessive stress is harmful to the health. To monitor stress, different methods can be used. In …
Towards multilevel mental stress assessment using SVM with ECOC: an EEG approach
Mental stress has been identified as one of the major contributing factors that leads to
various diseases such as heart attack, depression, and stroke. To avoid this, stress …
various diseases such as heart attack, depression, and stroke. To avoid this, stress …
EEG based classification of long-term stress using psychological labeling
Stress research is a rapidly emerging area in the field of electroencephalography (EEG)
signal processing. The use of EEG as an objective measure for cost effective and …
signal processing. The use of EEG as an objective measure for cost effective and …