{"id":2554,"date":"2020-05-18T07:36:27","date_gmt":"2020-05-18T06:36:27","guid":{"rendered":"https:\/\/www.labwelfaretech.com\/?p=2554"},"modified":"2020-05-18T07:36:29","modified_gmt":"2020-05-18T06:36:29","slug":"eeg-headset-evaluation-for-detection-of-bci","status":"publish","type":"post","link":"https:\/\/www.labwelfaretech.com\/en\/eeg-headset-evaluation-for-detection-of-bci\/","title":{"rendered":"New publication: EEG Headset Evaluation for Detection of Brain-Computer Interfaces"},"content":{"rendered":"\n<p>Abstract: 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.<\/p>\n\n\n\n<p>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%-77%). 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.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.mdpi.com\/1424-8220\/20\/10\/2804\/pdf\" target=\"_blank\" rel=\"noreferrer noopener\">PDF Version is available here<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Abstract: 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 &#8230; <a title=\"New publication: EEG Headset Evaluation for Detection of Brain-Computer Interfaces\" class=\"read-more\" href=\"https:\/\/www.labwelfaretech.com\/en\/eeg-headset-evaluation-for-detection-of-bci\/\" aria-label=\"Read more about New publication: EEG Headset Evaluation for Detection of Brain-Computer Interfaces\">Read more<\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[15],"tags":[],"class_list":["post-2554","post","type-post","status-publish","format-standard","hentry","category-article-en"],"_links":{"self":[{"href":"https:\/\/www.labwelfaretech.com\/en\/wp-json\/wp\/v2\/posts\/2554","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.labwelfaretech.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.labwelfaretech.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.labwelfaretech.com\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.labwelfaretech.com\/en\/wp-json\/wp\/v2\/comments?post=2554"}],"version-history":[{"count":1,"href":"https:\/\/www.labwelfaretech.com\/en\/wp-json\/wp\/v2\/posts\/2554\/revisions"}],"predecessor-version":[{"id":2555,"href":"https:\/\/www.labwelfaretech.com\/en\/wp-json\/wp\/v2\/posts\/2554\/revisions\/2555"}],"wp:attachment":[{"href":"https:\/\/www.labwelfaretech.com\/en\/wp-json\/wp\/v2\/media?parent=2554"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.labwelfaretech.com\/en\/wp-json\/wp\/v2\/categories?post=2554"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.labwelfaretech.com\/en\/wp-json\/wp\/v2\/tags?post=2554"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}