ArticleIEEE transactions on bio-medical engineering2021
Sensitive Physiological Indices of Pain Based on Differential Characteristics of Electrodermal Activity.
Article in IEEE transactions on bio-medical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.
- Effect of perioperative autonomic nervous system imbalance on surgical outcomes: a systematic review.British journal of anaesthesia · 2025Pooled it
- Multimodal Detection of Pain and Anticipation Anxiety from Ultra-Short Duration Wearable Sensors Measurements.Sensors (Basel, Switzerland) · 2026Article
- Pain assessment using physiological responses/markers in different types of pain: a scoping review.NPJ digital medicine · 2026Article
- A tonic electrocutaneous stimulation paradigm for graded sensory C-fiber engagement in healthy subjects.Frontiers in pain research (Lausanne, Switzerland) · 2026Article
- The use of an objective method (continuous exosomatic electrodermal activity without external stimuli) to evaluate patients with hyperhidrosis undergoing video-assisted sympathectomy.Einstein (Sao Paulo, Brazil) · 2026Article
- Article
- Zero-shot multimodal pain estimation via synthetic pain simulation and domain-invariant learning.Frontiers in artificial intelligence · 2026Article
- Wearable IoT-Enabled Galvanic Skin Response Device for Objective Pain and Stress Monitoring: Hardware Design and Prototype Development.Sensors (Basel, Switzerland) · 2025Article
- Detection of Cognitive Performance Deterioration Due to Cold-Air Exposure in Females Using Wearable Electrodermal Activity and Electrocardiogram.Biosensors · 2025Article
- Estimation of Pressure Pain in the Lower Limbs Using Electrodermal Activity, Tissue Oxygen Saturation, and Heart Rate Variability.Sensors (Basel, Switzerland) · 2025Article
- Investigating the Analgesic Mechanisms of Acupuncture for Cancer Pain: Insights From Multimodal Bioelectrical Signal Analysis.Journal of pain research · 2025Article
- Pseudo-labeling based adaptations of pain domain classifiers.Frontiers in pain research (Lausanne, Switzerland) · 2025Article
- An Experimental and Clinical Physiological Signal Dataset for Automated Pain Recognition.Scientific data · 2024Article
- Resting-state frontal electroencephalography (EEG) biomarkers for detecting the severity of chronic neuropathic pain.Scientific reports · 2024Article
- Measurements of Electrodermal Activity, Tissue Oxygen Saturation, and Visual Analog Scale for Different Cuff Pressures.Sensors (Basel, Switzerland) · 2024Article
- Sensors and Devices Guided by Artificial Intelligence for Personalized Pain Medicine.Cyborg and bionic systems (Washington, D.C.) · 2024Review
- Sex differences in autonomic functions and cognitive performance during cold-air exposure and cold-water partial immersion.Frontiers in physiology · 2024Article
- Objective Measurement of Subjective Pain Perception with Autonomic Body Reactions in Healthy Subjects and Chronic Back Pain Patients: An Experimental Heat Pain Study.Sensors (Basel, Switzerland) · 2023Article
- Brain-Computer Interface to Deliver Individualized Multisensory Intervention for Neuropathic Pain.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2023Article
- Automated Electrodermal Activity and Facial Expression Analysis for Continuous Pain Intensity Monitoring on the X-ITE Pain Database.Life (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
objectiveElectrodermal activity (EDA) has been widely used to assess human response to stressful stimuli, including pain. Recently, spectral analysis of EDA has been found to be more sensitive and reproducible for assessment of sympathetic arousal than traditional indices (e.g., tonic and phasic components). However, none of the aforementioned analyses incorporate the differential characteristics of EDA, which could be more sensitive to capturing fast-changing dynamics associated with pain responses.
methodsWe have tested the feasibility of using the derivative of phasic EDA and the modified time-varying spectral analysis of EDA. Sixteen subjects underwent four levels of pain stimulation using electric stimulation. Five-second segments of EDA were used for each level of stimulation, and pre-stimulation segments were considered stimulation level 0. We used support vector machines with the radial basis function kernel and multi-layer perceptron for three different scenarios of stimulation-level classification tasks: five stimulation levels (four levels of stimulation plus no stimulation); low, medium, and high pain stimulation (stimulation levels 0-1, 2, and 3-4, respectively); and high stimulation levels (stimulation levels 3-4) vs. no stimulation.
resultsThe maximum balanced accuracies were 44% (five stimulation levels), 63% (for low, medium, and high pain stimulation), and 87% (sensitivity 83% and specificity 89%, for high stimulation vs. no stimulation).
conclusionThe differential characteristics of EDA contributed highly to the accuracy of pain stimulation level detection of the classifiers. The external validity dataset was not considered in the study. SIGNIFICANCE: Our approach has the potential for accurate pain quantification using EDA.
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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.