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The proposed method is able to select acquisition channels common to all subjects, while achieving a performance compatible with the use of all the channels. Results are reported with reference to a standard benchmark dataset, the BCI competition IV dataset 2a. They prove that a performance compatible with the best state-of-the-art approaches can be achieved, while adopting a significantly smaller number of channels, both in two and in four tasks classification. In particular, classification accuracy is about 77\u201383% in binary classification with down to 6 EEG channels, and above 60% for the four-classes case when 10 channels are employed. This gives a contribution in optimizing the EEG measurement while developing non-invasive and wearable MI-based brain-computer interfaces. <\/jats:p>","DOI":"10.1142\/s0129065721500039","type":"journal-article","created":{"date-parts":[[2020,11,20]],"date-time":"2020-11-20T14:42:06Z","timestamp":1605883326000},"page":"2150003","source":"Crossref","is-referenced-by-count":25,"title":["Channel Selection for Optimal EEG Measurement in Motor Imagery-Based Brain-Computer Interfaces"],"prefix":"10.1142","volume":"31","author":[{"given":"Pasquale","family":"Arpaia","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering and Information Technology (DIETI), Universita\u2019 degli Studi di Napoli Federico II, Naples, Italy"},{"name":"Augmented Reality for Health Monitoring Laboratory (ARHeMLab), Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francesco","family":"Donnarumma","sequence":"additional","affiliation":[{"name":"Institute of Cognitive Sciences and Technologies, National Research Council (ISTC-CNR), Rome, Italy"},{"name":"Augmented Reality for Health Monitoring Laboratory (ARHeMLab), Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Antonio","family":"Esposito","sequence":"additional","affiliation":[{"name":"Department of Electronics and Telecommunications (DET), Politecnico di Torino, Turin, Italy"},{"name":"Augmented Reality for Health Monitoring Laboratory (ARHeMLab), Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marco","family":"Parvis","sequence":"additional","affiliation":[{"name":"Department of Electronics and Telecommunications (DET), Politecnico di Torino, Turin, Italy"},{"name":"Augmented Reality for Health Monitoring Laboratory (ARHeMLab), Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"219","published-online":{"date-parts":[[2020,12,22]]},"reference":[{"key":"S0129065721500039BIB001","doi-asserted-by":"publisher","DOI":"10.1515\/revneuro-2013-0032"},{"key":"S0129065721500039BIB002","doi-asserted-by":"publisher","DOI":"10.1016\/j.neulet.2013.12.043"},{"issue":"6","key":"S0129065721500039BIB003","first-page":"639","volume":"20","author":"Burns A.","year":"2014","journal-title":"The Neurosci"},{"key":"S0129065721500039BIB004","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065718500181"},{"key":"S0129065721500039BIB005","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065716500222"},{"key":"S0129065721500039BIB006","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065716500520"},{"issue":"2","key":"S0129065721500039BIB007","first-page":"1","volume":"2","author":"Teplan M.","year":"2002","journal-title":"Measurement Sci. 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