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 …

The validity of physiological measures to identify differences in intrinsic cognitive load

P Ayres, JY Lee, F Paas… - Frontiers in …, 2021 - frontiersin.org
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 …

Detecting emotions through electrodermal activity in learning contexts: A systematic review

A Horvers, N Tombeng, T Bosse, AW Lazonder… - Sensors, 2021 - mdpi.com
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 …

Validity of commonly used heart rate variability markers of autonomic nervous system function

BL Thomas, N Claassen, P Becker, M Viljoen - Neuropsychobiology, 2019 - karger.com
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 …

Assessing autonomic function from electrodermal activity and heart rate variability during cold-pressor test and emotional challenge

S Ghiasi, A Greco, R Barbieri, EP Scilingo… - Scientific reports, 2020 - nature.com
Standard functional assessment of autonomic nervous system (ANS) activity on
cardiovascular control relies on spectral analysis of heart rate variability (HRV) series …

Promises and trust in human–robot interaction

L Cominelli, F Feri, R Garofalo, C Giannetti… - Scientific reports, 2021 - nature.com
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 …

[HTML][HTML] ComEDA: A new tool for stress assessment based on electrodermal activity

M Nardelli, A Greco, L Sebastiani… - Computers in Biology and …, 2022 - Elsevier
Non-specific sympathetic arousal responses to different stressful elicitations can be easily
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

YG Rykov, MD Patterson, BA Gangwar, SB Jabar… - BMC medicine, 2024 - Springer
Background Continuous assessment and remote monitoring of cognitive function in
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

MB Hossain, Y Kong, HF Posada-Quintero, KH Chon - Sensors, 2022 - mdpi.com
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 …

Acute stress state classification based on electrodermal activity modeling

A Greco, G Valenza, J Lazaro… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
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 …