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From a first set of 284 articles searched for in six scientific databases, fifty-nine were finally selected according to various criteria established. The systematic review has made it possible to analyse all the steps to which the EDA signals are subjected: acquisition, pre-processing, processing and feature extraction. Finally, all ML techniques applied to the features of these signals for arousal classification have been studied. It has been found that support vector machines and artificial neural networks stand out within the supervised learning methods given their high-performance values. In contrast, it has been shown that unsupervised learning is not present in the detection of arousal through EDA. This systematic review concludes that the use of EDA for the detection of arousal is widely spread, with particularly good results in classification with the ML methods found.<\/jats:p>","DOI":"10.3390\/s22228886","type":"journal-article","created":{"date-parts":[[2022,11,18]],"date-time":"2022-11-18T06:11:34Z","timestamp":1668751894000},"page":"8886","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Machine Learning Techniques for Arousal Classification from Electrodermal Activity: A Systematic Review"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4455-370X","authenticated-orcid":false,"given":"Roberto","family":"S\u00e1nchez-Reolid","sequence":"first","affiliation":[{"name":"Departamento de Sistemas Inform\u00e1ticos, Universidad de Castilla-La Mancha, 02071 Albacete, Spain"},{"name":"Neurocognition and Emotion Unit, Instituto de Investigaci\u00f3n en Inform\u00e1tica, 02071 Albacete, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1407-9886","authenticated-orcid":false,"given":"Francisco","family":"L\u00f3pez de la Rosa","sequence":"additional","affiliation":[{"name":"Neurocognition and Emotion Unit, Instituto de Investigaci\u00f3n en Inform\u00e1tica, 02071 Albacete, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3612-1261","authenticated-orcid":false,"given":"Daniel","family":"S\u00e1nchez-Reolid","sequence":"additional","affiliation":[{"name":"Neurocognition and Emotion Unit, Instituto de Investigaci\u00f3n en Inform\u00e1tica, 02071 Albacete, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2846-3483","authenticated-orcid":false,"given":"Mar\u00eda T.","family":"L\u00f3pez","sequence":"additional","affiliation":[{"name":"Departamento de Sistemas Inform\u00e1ticos, Universidad de Castilla-La Mancha, 02071 Albacete, Spain"},{"name":"Neurocognition and Emotion Unit, Instituto de Investigaci\u00f3n en Inform\u00e1tica, 02071 Albacete, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8211-0398","authenticated-orcid":false,"given":"Antonio","family":"Fern\u00e1ndez-Caballero","sequence":"additional","affiliation":[{"name":"Departamento de Sistemas Inform\u00e1ticos, Universidad de Castilla-La Mancha, 02071 Albacete, Spain"},{"name":"Neurocognition and Emotion Unit, Instituto de Investigaci\u00f3n en Inform\u00e1tica, 02071 Albacete, Spain"},{"name":"CIBERSAM-ISCIII (Biomedical Research Networking Center in Mental Health, Instituto de Salud Carlos III), 28016 Madrid, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2022,11,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"726","DOI":"10.1108\/02683940310502412","article-title":"Eustress, distress and interpretation in occupational stress","volume":"18","author":"Matheny","year":"2003","journal-title":"J. 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