{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T17:25:15Z","timestamp":1783790715662,"version":"3.55.0"},"reference-count":108,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2023,6,27]],"date-time":"2023-06-27T00:00:00Z","timestamp":1687824000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Background: This review systematically examined the scientific literature about electroencephalogram-derived ratio indexes used to assess human mental involvement, in order to deduce what they are, how they are defined and used, and what their best fields of application are. (2) Methods: The review was carried out according to the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines. (3) Results: From the search query, 82 documents resulted. The majority (82%) were classified as related to mental strain, while 12% were classified as related to sensory and emotion aspects, and 6% to movement. The electroencephalographic electrode montage used was low-density in 13%, high-density in 6% and very-low-density in 81% of documents. The most used electrode positions for computation of involvement indexes were in the frontal and prefrontal cortex. Overall, 37 different formulations of involvement indexes were found. None of them could be directly related to a specific field of application. (4) Conclusions: Standardization in the definition of these indexes is missing, both in the considered frequency bands and in the exploited electrodes. Future research may focus on the development of indexes with a unique definition to monitor and characterize mental involvement.<\/jats:p>","DOI":"10.3390\/s23135968","type":"journal-article","created":{"date-parts":[[2023,6,28]],"date-time":"2023-06-28T00:45:11Z","timestamp":1687913111000},"page":"5968","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Ratio Indexes Based on Spectral Electroencephalographic Brainwaves for Assessment of Mental Involvement: A Systematic Review"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8053-3530","authenticated-orcid":false,"given":"Ilaria","family":"Marcantoni","sequence":"first","affiliation":[{"name":"Department of Information Engineering, Engineering Faculty, Universit\u00e0 Politecnica delle Marche, 60131 Ancona, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Raffaella","family":"Assogna","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, Engineering Faculty, Universit\u00e0 Politecnica delle Marche, 60131 Ancona, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giulia","family":"Del Borrello","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, Engineering Faculty, Universit\u00e0 Politecnica delle Marche, 60131 Ancona, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marina","family":"Di Stefano","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, Engineering Faculty, Universit\u00e0 Politecnica delle Marche, 60131 Ancona, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martina","family":"Morano","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, Engineering Faculty, Universit\u00e0 Politecnica delle Marche, 60131 Ancona, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sofia","family":"Romagnoli","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, Engineering Faculty, Universit\u00e0 Politecnica delle Marche, 60131 Ancona, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chiara","family":"Leoni","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, Engineering Faculty, Universit\u00e0 Politecnica delle Marche, 60131 Ancona, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giulia","family":"Bruschi","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, Engineering Faculty, Universit\u00e0 Politecnica delle Marche, 60131 Ancona, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9152-7216","authenticated-orcid":false,"given":"Agnese","family":"Sbrollini","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, Engineering Faculty, Universit\u00e0 Politecnica delle Marche, 60131 Ancona, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8327-8379","authenticated-orcid":false,"given":"Micaela","family":"Morettini","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, Engineering Faculty, Universit\u00e0 Politecnica delle Marche, 60131 Ancona, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9474-7046","authenticated-orcid":false,"given":"Laura","family":"Burattini","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, Engineering Faculty, Universit\u00e0 Politecnica delle Marche, 60131 Ancona, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,6,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"5857","DOI":"10.1038\/s41598-022-09578-y","article-title":"EEG-based measurement system for monitoring student engagement in learning 4.0","volume":"12","author":"Apicella","year":"2022","journal-title":"Sci. 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