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 …
Potential applications of mobile and wearable devices for psychological support during the COVID-19 pandemic: A review
K Ueafuea, C Boonnag, T Sudhawiyangkul… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
The coronavirus disease 19 (COVID-19) pandemic that has been raging in 2020 does affect
not only the physical state but also the mental health of the general population, particularly …
not only the physical state but also the mental health of the general population, particularly …
Data quality evaluation in wearable monitoring
Wearable recordings of neurophysiological signals captured from the wrist offer enormous
potential for seizure monitoring. Yet, data quality remains one of the most challenging factors …
potential for seizure monitoring. Yet, data quality remains one of the most challenging factors …
[HTML][HTML] FLIRT: A feature generation toolkit for wearable data
Abstract Background and Objective: Researchers use wearable sensing data and machine
learning (ML) models to predict various health and behavioral outcomes. However, sensor …
learning (ML) models to predict various health and behavioral outcomes. However, sensor …
Current trends and opportunities in the methodology of electrodermal activity measurement
Electrodermal activity (EDA) has been measured in the laboratory since the late 1800s.
Although the influence of sudomotor nerve activity and the sympathetic nervous system on …
Although the influence of sudomotor nerve activity and the sympathetic nervous system on …
Fear-related psychophysiological patterns are situation and individual dependent: A Bayesian model comparison approach.
Is there a universal mapping of physiology to emotion, or do these mappings vary
substantially by person or situation? Psychologists, philosophers, and neuroscientists have …
substantially by person or situation? Psychologists, philosophers, and neuroscientists have …
An open-source feature extraction tool for the analysis of peripheral physiological data
Electrocardiogram, electrodermal activity, electromyogram, continuous blood pressure, and
impedance cardiography are among the most commonly used peripheral physiological …
impedance cardiography are among the most commonly used peripheral physiological …
Burnout symptoms in forensic mental health nurses: Results from a longitudinal study
P De Looff, R Didden, P Embregts… - International journal of …, 2019 - Wiley Online Library
Burnout in nursing staff is a major cause for turnover and absenteeism. Identifying risk and
protective factors may be helpful in decreasing burnout symptoms. Moreover, research …
protective factors may be helpful in decreasing burnout symptoms. Moreover, research …
Automated pain assessment in children using electrodermal activity and video data fusion via machine learning
Objective: Pain assessment in children continues to challenge clinicians and researchers,
as subjective experiences of pain require inference through observable behaviors, both …
as subjective experiences of pain require inference through observable behaviors, both …
Automatic motion artifact detection in electrodermal activity data using machine learning
Background and objective Electrodermal activity (EDA) has gained popularity in recent
years for diverse applications such as emotion and stress recognition; assessment of pain …
years for diverse applications such as emotion and stress recognition; assessment of pain …