{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T23:08:02Z","timestamp":1729638482080,"version":"3.28.0"},"reference-count":16,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,3]]},"DOI":"10.1109\/cogsima.2017.7929601","type":"proceedings-article","created":{"date-parts":[[2017,5,18]],"date-time":"2017-05-18T18:37:47Z","timestamp":1495132667000},"page":"1-7","source":"Crossref","is-referenced-by-count":4,"title":["A systematic approach to developing near real-time performance predictions based on physiological measures"],"prefix":"10.1109","author":[{"given":"Amanda E.","family":"Kraft","sequence":"first","affiliation":[]},{"given":"Jon","family":"Russo","sequence":"additional","affiliation":[]},{"given":"Michael","family":"Krein","sequence":"additional","affiliation":[]},{"given":"Bartlett","family":"Russell","sequence":"additional","affiliation":[]},{"given":"William","family":"Casebeer","sequence":"additional","affiliation":[]},{"given":"Matthias","family":"Ziegler","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s00464-012-2268-6"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2014.00703"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2016.00034"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.06.023"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1080\/14639220210159735"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1016\/0013-4694(58)90053-1","article-title":"Report of the committee on methods of clinical examination in electroencephalography: 1957","volume":"10","author":"jasper","year":"1958","journal-title":"Electroencephalography and Clinical Neurophysiology"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2014.271"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2014.00703"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2597917.2597928"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1177\/0018720814526617"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-20816-9_26"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/9\/4\/045008"},{"journal-title":"EEG workload prediction in a closed-loop learning environment","year":"2015","author":"walter","key":"ref7"},{"key":"ref2","first-page":"22","article-title":"The use of Computational Human Performance Modeling as Task Analysis Tool","author":"hugo","year":"2012","journal-title":"Proceedings of the Eighth American Nuclear Society International Topical Meeting on Nuclear Plant Instrumentation Control and Human-Machine Interface Technologies NPIC&HMIT"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.21236\/ADA443136"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2015.7320247"}],"event":{"name":"2017 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)","start":{"date-parts":[[2017,3,27]]},"location":"Savannah, GA, USA","end":{"date-parts":[[2017,3,31]]}},"container-title":["2017 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7925257\/7929573\/07929601.pdf?arnumber=7929601","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,24]],"date-time":"2019-09-24T16:44:50Z","timestamp":1569343490000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7929601\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,3]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/cogsima.2017.7929601","relation":{},"subject":[],"published":{"date-parts":[[2017,3]]}}}