{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,25]],"date-time":"2025-11-25T09:01:36Z","timestamp":1764061296488,"version":"build-2065373602"},"reference-count":27,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2025,3,18]],"date-time":"2025-03-18T00:00:00Z","timestamp":1742256000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Institute of Diabetes and Digestive and Kidney Diseases of the National Institutes of Health","award":["R01DK138248"],"award-info":[{"award-number":["R01DK138248"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JSAN"],"abstract":"<jats:p>Wearable devices for continuous health monitoring in humans are constantly evolving, yet the signal quality may be improved by optimizing electrode placement. While the commonly used locations to measure electrodermal activity (EDA) are at the fingers or the wrist, alternative locations, such as the torso, need to be considered when applying an integrated multimodal approach of concurrently recording multiple bio-signals, such as the monitoring of visceral pain symptoms like those related to irritable bowel syndrome (IBS). This study aims to quantitatively determine the EDA signal quality at four torso locations (mid-chest, upper abdomen, lower back, and mid-back) in comparison to EDA signals recorded from the fingers. Concurrent EDA signals from five body locations were collected from twenty healthy participants as they completed a Stroop Task and a Cold Pressor task that elicited salient autonomic responses. Mean skin conductance (meanSCL), non-specific skin conductance responses (NS.SCRs), and sympathetic response (TVSymp) were derived from the torso EDA signals and compared with signals from the fingers. Notably, TVSymp recorded from the mid-chest location showed significant changes between baseline and Stroop phase, consistent with the TVSymp recorded from the fingers. A high correlation (0.77\u20130.83) was also identified between TVSymp recorded from the fingers and three torso locations: mid-chest, upper abdomen, and lower back locations. While the fingertips remain the optimal site for EDA measurement, the mid-chest exhibited the strongest potential as an alternative recording site, with the upper abdomen and lower back also demonstrating promising results. These findings suggest that torso-based EDA measurements have the potential to provide reliable measurement of sympathetic neural activities and may be incorporated into a wearable belt system for multimodal monitoring.<\/jats:p>","DOI":"10.3390\/jsan14020031","type":"journal-article","created":{"date-parts":[[2025,3,18]],"date-time":"2025-03-18T04:34:43Z","timestamp":1742272483000},"page":"31","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Optimizing Sensor Locations for Electrodermal Activity Monitoring Using a Wearable Belt System"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2211-7475","authenticated-orcid":false,"given":"Riley Q.","family":"McNaboe","sequence":"first","affiliation":[{"name":"Department of Biomedical Engineering, College of Engineering, University of Connecticut, Storrs, CT 06269, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5409-3888","authenticated-orcid":false,"given":"Youngsun","family":"Kong","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, College of Engineering, University of Connecticut, Storrs, CT 06269, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3924-7118","authenticated-orcid":false,"given":"Wendy A.","family":"Henderson","sequence":"additional","affiliation":[{"name":"Department of Biobehavioral Health Sciences, School of Nursing, University of Pennsylvania, Philadelphia, PA 19104, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4992-199X","authenticated-orcid":false,"given":"Xiaomei","family":"Cong","sequence":"additional","affiliation":[{"name":"School of Nursing, Yale University, Orange, CT 06477, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-3525-395X","authenticated-orcid":false,"given":"Aolan","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Statistics, College of Liberal Arts and Sciences, University of Connecticut, Storrs, CT 06269, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Min-Hee","family":"Seo","sequence":"additional","affiliation":[{"name":"Department of Statistics, College of Liberal Arts and Sciences, University of Connecticut, Storrs, CT 06269, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ming-Hui","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Statistics, College of Liberal Arts and Sciences, University of Connecticut, Storrs, CT 06269, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9277-211X","authenticated-orcid":false,"given":"Bin","family":"Feng","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, College of Engineering, University of Connecticut, Storrs, CT 06269, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4514-4772","authenticated-orcid":false,"given":"Hugo F.","family":"Posada-Quintero","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, College of Engineering, University of Connecticut, Storrs, CT 06269, USA"},{"name":"Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,3,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1726","DOI":"10.1109\/TBME.2020.3034632","article-title":"Identification of Sympathetic Nervous System Activation from Skin Conductance: A Sparse Decomposition Approach with Physiological Priors","volume":"68","author":"Amin","year":"2021","journal-title":"IEEE Trans. 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