ArticlePLoS computational biology2022
Physiological characterization of electrodermal activity enables scalable near real-time autonomic nervous system activation inference.
Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
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Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 51 citations in OpenAlex.
- Is cardiac autonomic control affected in major depressive disorder? A systematic review of heart rate variability studies.Translational psychiatry · 2025Pooled it
- Machine Learning Techniques for Arousal Classification from Electrodermal Activity: A Systematic Review.Sensors (Basel, Switzerland) · 2022Pooled it
- Augmented State-Space Modeling and Control of Latent Arousal States Under Inhibitory and Excitatory Conditions.IEEE open journal of engineering in medicine and biology · 2026Article
- Disrupted fear regulation in insomnia disorder revealed by arousal estimation from skin conductance.PLOS mental health · 2026Article
- Classical back massage is associated with lower heart rate and sustained mean skin conductance during recovery after cognitive load: an exploratory controlled pilot study.Frontiers in physiology · 2026Article
- Technologies to investigate the mechanisms of force-based manipulations: a narrative methods review.Frontiers in pain research (Lausanne, Switzerland) · 2026Review
- Associations of soundscape naturalness and natural-element complexity with short-term psychophysiological restoration in campus green spaces: a virtual reality study.Frontiers in psychology · 2026Article
- Electrodermal Activity Responses as Predictor of Physiological and Emotional Responses to Different Visual Stimuli.Advanced biomedical research · 2026Article
- Gravity-awareness: a deep learning and LLM framework for predicting human adaptation to altered gravitational environments.Frontiers in psychology · 2026Article
- Nonlinear acoustic phenomena tune the adults' facial thermal response to baby cries with the cry amplitude envelope.Journal of the Royal Society, Interface · 2025Article
- Cognitive arousal-based measures quantify insights from self-ratings in response to sensory stimuli.PLOS mental health · 2025Article
- A leptin-based Bayesian inference of a pro-satiety state reflects a basal circadian rhythm in women with obesity.Frontiers in endocrinology · 2025Article
- Evaluating low back pain through electrodermal activity: a systematic review protocol.BMJ open · 2024Article
- Association of Blood Glucose Data With Physiological and Nutritional Data From Dietary Surveys and Wearable Devices: Database Analysis.JMIR diabetes · 2024Article
- Eye tracking is more sensitive than skin conductance response in detecting mild environmental stimuli.PNAS nexus · 2024Article
- Design of a Remote Multiparametric Tool to Assess Mental Well-Being and Distress in Young People (mHealth Methods in Mental Health Research Project): Protocol for an Observational Study.JMIR research protocols · 2024Article
- Unveiling productivity: The interplay of cognitive arousal and expressive typing in remote work.PloS one · 2024Article
- Bayesian Inference of Hidden Cognitive Performance and Arousal States in Presence of Music.IEEE open journal of engineering in medicine and biology · 2024Article
- A multimodal dataset for investigating working memory in presence of music: a pilot study.Frontiers in neuroscience · 2024Article
- Regulation of brain cognitive states through auditory, gustatory, and olfactory stimulation with wearable monitoring.Scientific reports · 2023Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Electrodermal activities (EDA) are any electrical phxenomena observed on the skin. Skin conductance (SC), a measure of EDA, shows fluctuations due to autonomic nervous system (ANS) activation induced sweat secretion. Since it can capture psychophysiological information, there is a significant rise in the research work for tracking mental and physiological health with EDA. However, the current state-of-the-art lacks a physiologically motivated approach for real-time inference of ANS activation from EDA. Therefore, firstly, we propose a comprehensive model for the SC dynamics. The proposed model is a 3D state-space representation of the direct secretion of sweat via pore opening and diffusion followed by corresponding evaporation and reabsorption. As the input to the model, we consider a sparse signal representing the ANS activation that causes the sweat glands to produce sweat. Secondly, we derive a scalable fixed-interval smoother-based sparse recovery approach utilizing the proposed comprehensive model to infer the ANS activation enabling edge computation. We incorporate a generalized-cross-validation to tune the sparsity level. Finally, we propose an Expectation-Maximization based deconvolution approach for learning the model parameters during the ANS activation inference. For evaluation, we utilize a dataset with 26 participants, and the results show that our comprehensive state-space model can successfully describe the SC variations with high scalability, showing the feasibility of real-time applications. Results validate that our physiology-motivated state-space model can comprehensively explain the EDA and outperforms all previous approaches. Our findings introduce a whole new perspective and have a broader impact on the standard practices of EDA analysis.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.