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A critical review of ultra-short-term heart rate variability norms research
Heart rate variability (HRV) is the fluctuation in time between successive heartbeats and is
defined by interbeat intervals. Researchers have shown that short-term (∼ 5-min) and long …
defined by interbeat intervals. Researchers have shown that short-term (∼ 5-min) and long …
Stress detection using ECG and EMG signals: A comprehensive study
Abstract Background and Objective In recent years, stress and mental health have been
considered as important worldwide concerns. Stress detection using physiological signals …
considered as important worldwide concerns. Stress detection using physiological signals …
Ultra-short term HRV features as surrogates of short term HRV: A case study on mental stress detection in real life
Background This paper suggests a method to assess the extent to which ultra-short Heart
Rate Variability (HRV) features (less than 5 min) can be considered as valid surrogates of …
Rate Variability (HRV) features (less than 5 min) can be considered as valid surrogates of …
Wearable, environmental, and smartphone-based passive sensing for mental health monitoring
Collecting and analyzing data from sensors embedded in the context of daily life has been
widely employed for the monitoring of mental health. Variations in parameters such as …
widely employed for the monitoring of mental health. Variations in parameters such as …
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 …
Classification of perceived mental stress using a commercially available EEG headband
Human stress is a serious health concern, which must be addressed with appropriate
actions for a healthy society. This paper presents an experimental study to ascertain the …
actions for a healthy society. This paper presents an experimental study to ascertain the …
Evaluation of an integrated system of wearable physiological sensors for stress monitoring in working environments by using biological markers
Objective: The objectives of this paper are to develop and test the ability of a wearable
physiological sensors system, based on ECG, EDA, and EEG, to capture human stress and …
physiological sensors system, based on ECG, EDA, and EEG, to capture human stress and …
Automatic stress detection in working environments from smartphones' accelerometer data: a first step
Increase in workload across many organizations and consequent increase in occupational
stress are negatively affecting the health of the workforce. Measuring stress and other …
stress are negatively affecting the health of the workforce. Measuring stress and other …
[HTML][HTML] Machine learning for anxiety detection using biosignals: a review
Anxiety disorder (AD) is a major mental health illness. However, due to the many symptoms
and confounding factors associated with AD, it is difficult to diagnose, and patients remain …
and confounding factors associated with AD, it is difficult to diagnose, and patients remain …
[HTML][HTML] Anxiety level recognition for virtual reality therapy system using physiological signals
Virtual reality exposure therapy (VRET) can have a significant impact towards assessing and
potentially treating various anxiety disorders. One of the main strengths of VRET systems is …
potentially treating various anxiety disorders. One of the main strengths of VRET systems is …