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Innovations in electrodermal activity data collection and signal processing: A systematic review
HF Posada-Quintero, KH Chon - Sensors, 2020 - mdpi.com
The electrodermal activity (EDA) signal is an electrical manifestation of the sympathetic
innervation of the sweat glands. EDA has a history in psychophysiological (including …
innervation of the sweat glands. EDA has a history in psychophysiological (including …
The validity of physiological measures to identify differences in intrinsic cognitive load
A sample of 33 experiments was extracted from the Web-of-Science database over a 5-year
period (2016–2020) that used physiological measures to measure intrinsic cognitive load …
period (2016–2020) that used physiological measures to measure intrinsic cognitive load …
Detecting emotions through electrodermal activity in learning contexts: A systematic review
There is a strong increase in the use of devices that measure physiological arousal through
electrodermal activity (EDA). Although there is a long tradition of studying emotions during …
electrodermal activity (EDA). Although there is a long tradition of studying emotions during …
Validity of commonly used heart rate variability markers of autonomic nervous system function
Background: Despite strong reservations regarding the validity of a number of heart rate
variability (HRV) measures, these are still being used in recent studies. Aims: We aimed to …
variability (HRV) measures, these are still being used in recent studies. Aims: We aimed to …
Assessing autonomic function from electrodermal activity and heart rate variability during cold-pressor test and emotional challenge
Standard functional assessment of autonomic nervous system (ANS) activity on
cardiovascular control relies on spectral analysis of heart rate variability (HRV) series …
cardiovascular control relies on spectral analysis of heart rate variability (HRV) series …
Promises and trust in human–robot interaction
Understanding human trust in machine partners has become imperative due to the
widespread use of intelligent machines in a variety of applications and contexts. The aim of …
widespread use of intelligent machines in a variety of applications and contexts. The aim of …
[HTML][HTML] ComEDA: A new tool for stress assessment based on electrodermal activity
Non-specific sympathetic arousal responses to different stressful elicitations can be easily
recognized from the analysis of physiological signals. However, neural patterns of …
recognized from the analysis of physiological signals. However, neural patterns of …
Predicting cognitive scores from wearable-based digital physiological features using machine learning: data from a clinical trial in mild cognitive impairment
Background Continuous assessment and remote monitoring of cognitive function in
individuals with mild cognitive impairment (MCI) enables tracking therapeutic effects and …
individuals with mild cognitive impairment (MCI) enables tracking therapeutic effects and …
Comparison of electrodermal activity from multiple body locations based on standard EDA indices' quality and robustness against motion artifact
The most traditional sites for electrodermal activity (EDA) data collection, palmar locations
such as fingers or palms, are not usually recommended for ambulatory monitoring given that …
such as fingers or palms, are not usually recommended for ambulatory monitoring given that …
Acute stress state classification based on electrodermal activity modeling
Acute stress is a physiological condition that may induce several neural dysfunctions with a
significant impact on life quality. Accordingly, it would be important to monitor stress in …
significant impact on life quality. Accordingly, it would be important to monitor stress in …