{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T00:15:42Z","timestamp":1782951342378,"version":"3.54.5"},"reference-count":89,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2020,1,15]],"date-time":"2020-01-15T00:00:00Z","timestamp":1579046400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000006","name":"Office of Naval Research","doi-asserted-by":"publisher","award":["N00014-19-1-2209"],"award-info":[{"award-number":["N00014-19-1-2209"]}],"id":[{"id":"10.13039\/100000006","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The electrodermal activity (EDA) signal is an electrical manifestation of the sympathetic innervation of the sweat glands. EDA has a history in psychophysiological (including emotional or cognitive stress) research since 1879, but it was not until recent years that researchers began using EDA for pathophysiological applications like the assessment of fatigue, pain, sleepiness, exercise recovery, diagnosis of epilepsy, neuropathies, depression, and so forth. The advent of new devices and applications for EDA has increased the development of novel signal processing techniques, creating a growing pool of measures derived mathematically from the EDA. For many years, simply computing the mean of EDA values over a period was used to assess arousal. Much later, researchers found that EDA contains information not only in the slow changes (tonic component) that the mean value represents, but also in the rapid or phasic changes of the signal. The techniques that have ensued have intended to provide a more sophisticated analysis of EDA, beyond the traditional tonic\/phasic decomposition of the signal. With many researchers from the social sciences, engineering, medicine, and other areas recently working with EDA, it is timely to summarize and review the recent developments and provide an updated and synthesized framework for all researchers interested in incorporating EDA into their research.<\/jats:p>","DOI":"10.3390\/s20020479","type":"journal-article","created":{"date-parts":[[2020,1,15]],"date-time":"2020-01-15T11:50:28Z","timestamp":1579089028000},"page":"479","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":437,"title":["Innovations in Electrodermal Activity Data Collection and Signal Processing: A Systematic Review"],"prefix":"10.3390","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4514-4772","authenticated-orcid":false,"given":"Hugo F.","family":"Posada-Quintero","sequence":"first","affiliation":[{"name":"Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ki H.","family":"Chon","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,1,15]]},"reference":[{"key":"ref_1","unstructured":"Cacioppo, J.T., Tassinary, L.G., and Berntson, G. (2007). Handbook of Psychophysiology, Cambridge University Press. [3rd ed.]."},{"key":"ref_2","unstructured":"Martin, I., and Venables, P.H. (1980). Techniques in Psychophysiology, John Wiley & Sons. Psychological Medicine."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1017","DOI":"10.1111\/j.1469-8986.2012.01384.x","article-title":"Publication recommendations for electrodermal measurements","volume":"49","author":"Boucsein","year":"2012","journal-title":"Psychophysiology"},{"key":"ref_4","unstructured":"Greenfield, N.S., and Sternbach, R.A. (1972). Handbook of Psychophysiology, Holt, Rinehart & Winston."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"312","DOI":"10.1111\/j.1469-8986.1987.tb00301.x","article-title":"Is mediation of sweating cholinergic, adrenergic, or both? A comment on the literature","volume":"24","author":"Shields","year":"1987","journal-title":"Psychophysiology"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.autneu.2010.01.008","article-title":"Sweat production and the sympathetic skin response: Improving the clinical assessment of autonomic function","volume":"155","author":"Ellaway","year":"2010","journal-title":"Auton. Neurosci."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1016\/j.jneumeth.2010.04.028","article-title":"A continuous measure of phasic electrodermal activity","volume":"190","author":"Benedek","year":"2010","journal-title":"J. Neurosci. Methods"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1007\/s10286-008-0506-8","article-title":"Sweat testing to evaluate autonomic function","volume":"19","author":"Illigens","year":"2009","journal-title":"Clin. Auton. Res."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"410","DOI":"10.1109\/TITB.2009.2036164","article-title":"Discriminating stress from cognitive load using a wearable EDA device","volume":"14","author":"Setz","year":"2010","journal-title":"IEEE Trans. Inf. Technol. Biomed."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1109\/TITS.2005.848368","article-title":"Detecting stress during real-world driving tasks using physiological sensors","volume":"6","author":"Healey","year":"2005","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Roy, J.-C., Boucsein, W., Fowles, D.C., and Gruzelier, J.H. (1993). Electrodermal Mechanisms: A Critique of the Two-Effector Hypothesis and a Proposed Replacement. Progress in Electrodermal Research, Springer.","DOI":"10.1007\/978-1-4615-2864-7"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"616","DOI":"10.1177\/014107688107400812","article-title":"Electrodermal activity in the 1980s: A review","volume":"74","author":"Christie","year":"1981","journal-title":"J. R. Soc. Med."},{"key":"ref_13","unstructured":"Posada-Quintero, H. (2016). Electrodermal Activity: What It Can Contribute to the Assessment of the Autonomic Nervous System. [Ph.D. Thesis, University of Connecticut]."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"470","DOI":"10.1111\/j.1469-8986.1981.tb02483.x","article-title":"Sympathetic nerve activity underlying electrodermal and cardiovascular reactions in man","volume":"18","author":"Wallin","year":"1981","journal-title":"Psychophysiology"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Roy, J.-C., Boucsein, W., Fowles, D.C., and Gruzelier, J.H. (1993). Cortical and Hypothalamo-Limbic Control of Electrodermal Responses. Progress in Electrodermal Research, Springer.","DOI":"10.1007\/978-1-4615-2864-7"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Roy, J.-C., Boucsein, W., Fowles, D.C., and Gruzelier, J.H. (1993). Neural Control of Electrodermal Activity: Spinal and Reticular Mechanisms. Progress in Electrodermal Research, Springer.","DOI":"10.1007\/978-1-4615-2864-7"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Boucsein, W. (2012). Electrodermal Activity, Springer.","DOI":"10.1007\/978-1-4614-1126-0"},{"key":"ref_18","unstructured":"Hugdahl, K. (1995). Psychophysiology: The Mind\u2013Body Perspective, Harvard University Press."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Dawson, M.E., Schell, A.M., and Filion, D.L. (2007). Chapter 7: The Electrodermal System. Handbook of Psychophysiology, Cambridge University Press.","DOI":"10.1017\/CBO9780511546396.007"},{"key":"ref_20","first-page":"273","article-title":"Recording of electrodermal phenomena","volume":"1","author":"Grings","year":"1974","journal-title":"Methods Physiol. Psychol."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"3124","DOI":"10.1007\/s10439-016-1606-6","article-title":"Power Spectral Density Analysis of Electrodermal Activity for Sympathetic Function Assessment","volume":"44","author":"Florian","year":"2016","journal-title":"Ann. Biomed. Eng."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Posada-Quintero, H.F., Reljin, N., Mills, C., Mills, I., Florian, J.P., VanHeest, J.L., and Chon, K.H. (2018). Time-varying analysis of electrodermal activity during exercise. PLoS ONE, 13.","DOI":"10.1371\/journal.pone.0198328"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1111\/j.1469-8986.1981.tb03024.x","article-title":"Committee report. Publication recommendations for electrodermal measurements","volume":"18","author":"Fowles","year":"1981","journal-title":"Psychophysiology"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1111\/j.1469-8986.1977.tb01187.x","article-title":"Active circuits for direct lenear measurement of skin resistance and conductance","volume":"14","author":"Lowry","year":"1977","journal-title":"Psychophysiology"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1111\/j.1600-0846.2010.00459.x","article-title":"Electrodermal activity by DC potential and AC conductance measured simultaneously at the same skin site","volume":"17","author":"Grimnes","year":"2011","journal-title":"Skin Res. Technol."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1011","DOI":"10.1088\/0967-3334\/35\/6\/1011","article-title":"Estimation of skin conductance at low frequencies using measurements at higher frequencies for EDA applications","volume":"35","author":"Nordbotten","year":"2014","journal-title":"Physiol. Meas."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"374","DOI":"10.1111\/psyp.12803","article-title":"Comparison between the AC and DC measurement of electrodermal activity","volume":"54","author":"Pabst","year":"2017","journal-title":"Psychophysiology"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1337","DOI":"10.1080\/00207450902938503","article-title":"Development of a magnetic resonance-compatible galvanic skin response measurement system using optic signal","volume":"119","author":"Lim","year":"2009","journal-title":"Int. J. Neurosci."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1016\/j.jneumeth.2012.09.026","article-title":"An MEG compatible system for measuring skin conductance responses","volume":"212","author":"Styliadis","year":"2013","journal-title":"J. Neurosci. Methods"},{"key":"ref_30","unstructured":"Kim, J., Kwon, S., Seo, S., and Park, K. (2014, January 26\u201330). Highly wearable galvanic skin response sensor using flexible and conductive polymer foam. Proceedings of the 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, IL, USA."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1016\/j.sna.2017.02.023","article-title":"Dry carbon\/salt adhesive electrodes for recording electrodermal activity","volume":"257","author":"Rood","year":"2017","journal-title":"Sens. Actuators A Phys."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"2374","DOI":"10.1007\/s10439-015-1282-y","article-title":"Low Impedance Carbon Adhesive Electrodes with Long Shelf Life","volume":"43","author":"Reyes","year":"2015","journal-title":"Ann. Biomed. Eng."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Haddad, P.A., Servati, A., Soltanian, S., Ko, F., and Servati, P. (2018). Breathable Dry Silver\/Silver Chloride Electronic Textile Electrodes for Electrodermal Activity Monitoring. Biosensors, 8.","DOI":"10.3390\/bios8030079"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"2979","DOI":"10.1109\/TBME.2017.2754220","article-title":"Effects of Flexible Dry Electrode Design on Electrodermal Activity Stimulus Response Detection","volume":"64","author":"Haddad","year":"2017","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1089\/tmj.2009.0039","article-title":"Wearable sensor glove based on conducting fabric using electrodermal activity and pulse-wave sensors for e-health application","volume":"16","author":"Lee","year":"2010","journal-title":"Telemed. J. E Health"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1243","DOI":"10.1109\/TBME.2009.2038487","article-title":"A wearable sensor for unobtrusive, long-term assessment of electrodermal activity","volume":"57","author":"Poh","year":"2010","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1088\/0967-3334\/35\/2\/95","article-title":"Miniature ambulatory skin conductance monitor and algorithm for investigating hot flash events","volume":"35","author":"Bahr","year":"2014","journal-title":"Physiol. Meas."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Torniainen, J., Cowley, B., Henelius, A., Lukander, K., and Pakarinen, S. (2015, January 25\u201329). Feasibility of an electrodermal activity ring prototype as a research tool. Proceedings of the 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, Italy.","DOI":"10.1109\/EMBC.2015.7319865"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Pope, G.C., and Halter, R.J. (2019). Design and Implementation of an Ultra-Low Resource Electrodermal Activity Sensor for Wearable Applications. Sensors, 19.","DOI":"10.3390\/s19112450"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1155","DOI":"10.1007\/s11517-012-0926-4","article-title":"Measuring skin conductance over clothes","volume":"50","author":"Hong","year":"2012","journal-title":"Med. Biol. Eng. Comput."},{"key":"ref_41","first-page":"787","article-title":"An automated system for processing electrodermal activity","volume":"150","author":"Frantzidis","year":"2009","journal-title":"Stud. Health Technol. Inform."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1016\/j.ijpsycho.2013.10.015","article-title":"Development and validation of an unsupervised scoring system (Autonomate) for skin conductance response analysis","volume":"91","author":"Green","year":"2014","journal-title":"Int. J. Psychophysiol."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"266","DOI":"10.1109\/JBHI.2013.2278213","article-title":"FEEL: A system for frequent event and electrodermal activity labeling","volume":"18","author":"Ayzenberg","year":"2014","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1016\/j.jneumeth.2009.08.005","article-title":"Time-series analysis for rapid event-related skin conductance responses","volume":"184","author":"Bach","year":"2009","journal-title":"J. Neurosci. Methods"},{"key":"ref_45","unstructured":"(2020, January 13). PsPM | A Matlab Suite for Psycho-Physiological Modelling. Available online: http:\/\/pspm.sourceforge.net\/."},{"key":"ref_46","unstructured":"(2020, January 13). SCRalyze | A Matlab Environment for Model-Based Psychophysiology. Available online: http:\/\/scralyze.sourceforge.net\/."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1016\/j.ijpsycho.2010.01.005","article-title":"Modelling event-related skin conductance responses","volume":"75","author":"Bach","year":"2010","journal-title":"Int. J. Psychophysiol."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.ijpsycho.2010.01.011","article-title":"Analytic measures for quantification of arousal from spontaneous skin conductance fluctuations","volume":"76","author":"Bach","year":"2010","journal-title":"Int. J. Psychophysiol."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1111\/j.1469-8986.2010.01052.x","article-title":"Dynamic causal modeling of spontaneous fluctuations in skin conductance","volume":"48","author":"Bach","year":"2011","journal-title":"Psychophysiology"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.biopsycho.2010.06.007","article-title":"Dynamic causal modelling of anticipatory skin conductance responses","volume":"85","author":"Bach","year":"2010","journal-title":"Biol. Psychol."},{"key":"ref_51","first-page":"647","article-title":"Decomposition of skin conductance data by means of nonnegative deconvolution","volume":"47","author":"Benedek","year":"2010","journal-title":"Psychophysiology"},{"key":"ref_52","unstructured":"(2020, January 13). Ledalab. Available online: http:\/\/www.ledalab.de\/."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.biopsycho.2014.08.006","article-title":"A head-to-head comparison of SCRalyze and Ledalab, two model-based methods for skin conductance analysis","volume":"103","author":"Bach","year":"2014","journal-title":"Biol. Psychol."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"490","DOI":"10.1016\/j.biopsycho.2013.09.010","article-title":"An improved algorithm for model-based analysis of evoked skin conductance responses","volume":"94","author":"Bach","year":"2013","journal-title":"Biol. Psychol."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"960","DOI":"10.1109\/TBME.2014.2376960","article-title":"Sparse representation of electrodermal activity with knowledge-driven dictionaries","volume":"62","author":"Chaspari","year":"2015","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"1106","DOI":"10.1111\/psyp.12434","article-title":"A matching pursuit algorithm for inferring tonic sympathetic arousal from spontaneous skin conductance fluctuations","volume":"52","author":"Bach","year":"2015","journal-title":"Psychophysiology"},{"key":"ref_57","first-page":"797","article-title":"cvxEDA: A convex optimization approach to electrodermal activity processing","volume":"63","author":"Greco","year":"2016","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_58","unstructured":"lciti (2020, January 13). Available online: https:\/\/github.com\/lciti\/cvxEDA."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"2142","DOI":"10.1109\/TBME.2016.2632523","article-title":"A Compressed Sensing Based Decomposition of Electrodermal Activity Signals","volume":"64","author":"Jain","year":"2017","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"2585","DOI":"10.1109\/TBME.2019.2892352","article-title":"Sparse Deconvolution of Electrodermal Activity via Continuous-Time System Identification","volume":"66","author":"Amin","year":"2019","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_61","first-page":"1385","article-title":"Feature Extraction of Galvanic Skin Responses by Non-Negative Sparse Deconvolution","volume":"22","author":"Luengo","year":"2017","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref_62","unstructured":"Gallego, F.H. (2020, January 13). Available online: https:\/\/github.com\/fhernandogallego\/sparsEDA."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"R582","DOI":"10.1152\/ajpregu.00180.2016","article-title":"Highly sensitive index of sympathetic activity based on time-frequency spectral analysis of electrodermal activity","volume":"311","author":"Florian","year":"2016","journal-title":"Am. J. Physiol. Regul. Integr. Comp. Physiol."},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Ghiasi, S., Grecol, A., Nardelli, M., Catrambonel, V., Barbieri, R., Scilingo, E., and Valenza, G. (2018, January 17\u201321). A New Sympathovagal Balance Index from Electrodermal Activity and Instantaneous Vagal Dynamics: A Preliminary Cold Pressor Study. Proceedings of the 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, USA.","DOI":"10.1109\/EMBC.2018.8512932"},{"key":"ref_65","doi-asserted-by":"crossref","unstructured":"Chaspari, T., Tsiartas, A., Stein Duker, L.I., Cermak, S.A., and Narayanan, S.S. (2016, January 16\u201320). EDA-gram: Designing electrodermal activity fingerprints for visualization and feature extraction. Proceedings of the 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, USA.","DOI":"10.1109\/EMBC.2016.7590725"},{"key":"ref_66","doi-asserted-by":"crossref","unstructured":"Subramanian, S., Barbieri, R., and Brown, E.N. (2018, January 18\u201321). A Point Process Characterization of Electrodermal Activity. Proceedings of the 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, USA.","DOI":"10.1109\/EMBC.2018.8512211"},{"key":"ref_67","doi-asserted-by":"crossref","unstructured":"Wickramasuriya, D.S., Qi, C., and Faghih, R.T. (2018, January 18\u201321). A State-Space Approach for Detecting Stress from Electrodermal Activity. Proceedings of the 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, USA.","DOI":"10.1109\/EMBC.2018.8512928"},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"216","DOI":"10.12688\/f1000research.13849.2","article-title":"Breathe Easy EDA: A MATLAB toolbox for psychophysiology data management, cleaning, and analysis","volume":"7","author":"Ksander","year":"2018","journal-title":"F1000Res"},{"key":"ref_69","first-page":"145","article-title":"Electrodermal lability as a personality dimension","volume":"5","author":"Crider","year":"1971","journal-title":"J. Exp. Res. Personal."},{"key":"ref_70","unstructured":"Braithwaite, J.J., Watson, D.G., Jones, R., and Rowe, M. (2013). A Guide for Analysing Electrodermal Activity (EDA) & Skin Conductance Responses (SCRs) for Psychological Experiments, University of Birmingham."},{"key":"ref_71","unstructured":"D\u2019Mello, S., Graesser, A., Schuller, B., and Martin, J.-C. (2011). Call Center Stress Recognition with Person-Specific Models. Affective Computing and Intelligent Interaction, Springer."},{"key":"ref_72","doi-asserted-by":"crossref","unstructured":"Kocielnik, R., Sidorova, N., Maggi, F.M., Ouwerkerk, M., and Westerink, J.H. (2013, January 20\u201322). Smart technologies for long-term stress monitoring at work. Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, Porto, Portugal.","DOI":"10.1109\/CBMS.2013.6627764"},{"key":"ref_73","doi-asserted-by":"crossref","unstructured":"Taylor, S., Jaques, N., Chen, W., Fedor, S., Sano, A., and Picard, R. (2015, January 25\u201329). Automatic identification of artifacts in electrodermal activity data. Proceedings of the 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milano, Italy.","DOI":"10.1109\/EMBC.2015.7318762"},{"key":"ref_74","unstructured":"MIT Media Lab Affective Computing (2019). Eda-Explorer, MIT Media Lab Affective Computing Group."},{"key":"ref_75","doi-asserted-by":"crossref","unstructured":"Tronstad, C., Staal, O.M., Saelid, S., and Martinsen, O.G. (2015, January 25\u201329). Model-based filtering for artifact and noise suppression with state estimation for electrodermal activity measurements in real time. Proceedings of the 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milano, Italy.","DOI":"10.1109\/EMBC.2015.7318961"},{"key":"ref_76","unstructured":"Chen, W., Jaques, N., Taylor, S., Sano, A., Fedor, S., and Picard, R.W. (2015, January 25\u201329). Wavelet-based motion artifact removal for electrodermal activity. Proceedings of the 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milano, Italy."},{"key":"ref_77","first-page":"102110D","article-title":"Artifact detection in electrodermal activity using sparse recovery","volume":"Volume 10211","author":"Kelsey","year":"2017","journal-title":"Compressive Sensing VI: From Diverse Modalities to Big Data Analytics"},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"1460","DOI":"10.1109\/TBME.2017.2758643","article-title":"Simple, Transparent, and Flexible Automated Quality Assessment Procedures for Ambulatory Electrodermal Activity Data","volume":"65","author":"Kleckner","year":"2018","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_79","unstructured":"iankleckner (2020, January 13). Available online: http:\/\/www.cbslab.org\/EDAQA."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"e13307","DOI":"10.1111\/psyp.13307","article-title":"Latency of skin conductance responses across stimulus modalities","volume":"56","author":"Sjouwerman","year":"2019","journal-title":"Psychophysiology"},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"22523","DOI":"10.1109\/ACCESS.2019.2899485","article-title":"Analysis of Reproducibility of Noninvasive Measures of Sympathetic Autonomic Control Based on Electrodermal Activity and Heart Rate Variability","volume":"7","author":"Dimitrov","year":"2019","journal-title":"IEEE Access"},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1111\/srt.12397","article-title":"Electrodermal responses to discrete stimuli measured by skin conductance, skin potential, and skin susceptance","volume":"24","author":"Bari","year":"2018","journal-title":"Skin Res. Technol."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"1070","DOI":"10.1111\/psyp.12092","article-title":"Waveform difference between skin conductance and skin potential responses in relation to electrical and evaporative properties of skin","volume":"50","author":"Tronstad","year":"2013","journal-title":"Psychophysiology"},{"key":"ref_84","doi-asserted-by":"crossref","unstructured":"Boucsein, W. (2012). Electrodermal Activity, Springer Science & Business Media.","DOI":"10.1007\/978-1-4614-1126-0"},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"1157","DOI":"10.1177\/1932296814545669","article-title":"A novel quantitative method for diabetic cardiac autonomic neuropathy assessment in type 1 diabetic mice","volume":"8","author":"Chon","year":"2014","journal-title":"J. Diabetes Sci. Technol."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"719","DOI":"10.1097\/00004872-199917060-00001","article-title":"How to assess sympathetic activity in humans","volume":"17","author":"Grassi","year":"1999","journal-title":"J. Hypertens."},{"key":"ref_87","first-page":"873","article-title":"Assessment: Clinical autonomic testing report of the Therapeutics and Technology Assessment Subcommittee of the American Academy of Neurology","volume":"46","author":"Schwartz","year":"1996","journal-title":"Neurology"},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1007\/s10286-009-0517-0","article-title":"Reappraisal of the diagnostic role of orthostatic hypotension in diabetes","volume":"19","author":"Spallone","year":"2009","journal-title":"Clin. Auton. Res."},{"key":"ref_89","unstructured":"(2016, March 17). Design News\u2014Blog\u2014Wearables Get Moody with the GSR Sensor. Available online: http:\/\/www.designnews.com\/author.asp?section_id=1386&doc_id=277976."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/20\/2\/479\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T14:26:28Z","timestamp":1760365588000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/20\/2\/479"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1,15]]},"references-count":89,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2020,1]]}},"alternative-id":["s20020479"],"URL":"https:\/\/doi.org\/10.3390\/s20020479","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,1,15]]}}}