{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T09:48:10Z","timestamp":1777974490289,"version":"3.51.4"},"reference-count":56,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2020,5,14]],"date-time":"2020-05-14T00:00:00Z","timestamp":1589414400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100008397","name":"Velux Fonden","doi-asserted-by":"publisher","award":["22357"],"award-info":[{"award-number":["22357"]}],"id":[{"id":"10.13039\/100008397","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Brain\u2013computer interfaces (BCIs) can be used in neurorehabilitation; however, the literature about transferring the technology to rehabilitation clinics is limited. A key component of a BCI is the headset, for which several options are available. The aim of this study was to test four commercially available headsets\u2019 ability to record and classify movement intentions (movement-related cortical potentials\u2014MRCPs). Twelve healthy participants performed 100 movements, while continuous EEG was recorded from the headsets on two different days to establish the reliability of the measures: classification accuracies of single-trials, number of rejected epochs, and signal-to-noise ratio. MRCPs could be recorded with the headsets covering the motor cortex, and they obtained the best classification accuracies (73%\u221277%). The reliability was moderate to good for the best headset (a gel-based headset covering the motor cortex). The results demonstrate that, among the evaluated headsets, reliable recordings of MRCPs require channels located close to the motor cortex and potentially a gel-based headset.<\/jats:p>","DOI":"10.3390\/s20102804","type":"journal-article","created":{"date-parts":[[2020,5,15]],"date-time":"2020-05-15T10:53:59Z","timestamp":1589540039000},"page":"2804","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["EEG Headset Evaluation for Detection of Single-Trial Movement Intention for Brain-Computer Interfaces"],"prefix":"10.3390","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7729-4359","authenticated-orcid":false,"given":"Mads","family":"Jochumsen","sequence":"first","affiliation":[{"name":"Department of Health Science and Technology, Aalborg University, 9220 Aalborg, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3950-8453","authenticated-orcid":false,"given":"Hendrik","family":"Knoche","sequence":"additional","affiliation":[{"name":"Department of Architecture, Design and Media Technology, Aalborg University, 9000 Aalborg, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Troels Wesenberg","family":"Kjaer","sequence":"additional","affiliation":[{"name":"Department of Neurology, Zealand University Hospital, Roskilde, Denmark. Department of Clinical Medicine, University of Copenhagen, 2200 Copenhagen, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Birthe","family":"Dinesen","sequence":"additional","affiliation":[{"name":"Department of Health Science and Technology, Aalborg University, 9220 Aalborg, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Preben","family":"Kidmose","sequence":"additional","affiliation":[{"name":"Department of Engineering\u2014Electrical and Computer Engineering, Aarhus University, 8200 Aarhus, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,5,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"767","DOI":"10.1016\/S1388-2457(02)00057-3","article-title":"Brain-Computer Interfaces for Communication and Control","volume":"113","author":"Wolpaw","year":"2002","journal-title":"Clin. 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