{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T05:23:18Z","timestamp":1767676998921,"version":"3.37.3"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2018,11,29]],"date-time":"2018-11-29T00:00:00Z","timestamp":1543449600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"National High Technology Research and Development Program of China","award":["2015AA042301"],"award-info":[{"award-number":["2015AA042301"]}]},{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61773369"],"award-info":[{"award-number":["61773369"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61573340","61503374"],"award-info":[{"award-number":["61573340","61503374"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Med Biol Eng Comput"],"published-print":{"date-parts":[[2019,4]]},"DOI":"10.1007\/s11517-018-1917-x","type":"journal-article","created":{"date-parts":[[2018,11,29]],"date-time":"2018-11-29T04:56:00Z","timestamp":1543467360000},"page":"939-952","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["An inter-subject model to reduce the calibration time for motion imagination-based brain-computer interface"],"prefix":"10.1007","volume":"57","author":[{"given":"Yijun","family":"Zou","sequence":"first","affiliation":[]},{"given":"Xingang","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Yaqi","family":"Chu","sequence":"additional","affiliation":[]},{"given":"Yiwen","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Weiliang","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Jianda","family":"Han","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,11,29]]},"reference":[{"issue":"5","key":"1917_CR1","first-page":"161","volume":"4","author":"JDR Mill\u00e1n","year":"2010","unstructured":"Mill\u00e1n JDR, Rupp R, M\u00fcllerputz GR, Murraysmith R, Giugliemma C, Tangermann M et al (2010) Combining brain\u2013computer interfaces and assistive technologies: state-of-the-art and challenges. Front Neurosci 4(5):161","journal-title":"Front Neurosci"},{"key":"1917_CR2","doi-asserted-by":"crossref","unstructured":"Wilson JA, Felton EA, Garell PC, Schalk G, Williams JC (2006) Ecog factors underlying multimodal control of a brain-computer interface. IEEE Trans Neural Syst Rehabil Eng 14(2):246\u2013250","DOI":"10.1109\/TNSRE.2006.875570"},{"key":"1917_CR3","doi-asserted-by":"publisher","first-page":"31","DOI":"10.3389\/fneng.2014.00031","volume":"7","author":"J Song","year":"2014","unstructured":"Song J, Young BM, Nigogosyan Z, Walton LM, Nair VA, Grogan SW et al (2014) Characterizing relationships of dti, fmri, and motor recovery in stroke rehabilitation utilizing brain-computer interface technology. Frontiers in Neuroengineering 7:31","journal-title":"Frontiers in Neuroengineering"},{"issue":"4","key":"1917_CR4","doi-asserted-by":"publisher","first-page":"815","DOI":"10.1088\/0967-3334\/25\/4\/003","volume":"25","author":"S Coyle","year":"2004","unstructured":"Coyle S, Ward T, Markham C, Mcdarby G (2004) On the suitability of near-infrared (nir) systems for next-generation brain-computer interfaces. Physiol Meas 25(4):815\u2013822","journal-title":"Physiol Meas"},{"issue":"1","key":"1917_CR5","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1109\/TNSRE.2015.2439298","volume":"24","author":"R Zhang","year":"2016","unstructured":"Zhang R, Li Y, Yan Y, Zhang H, Wu S, Yu T, Gu Z (2016) Control of a wheelchair in an indoor environment based on a brain\u2013computer interface and automated navigation. IEEE Transactions on Neural Systems & Rehabilitation Engineering A Publication of the IEEE Engineering in Medicine & Biology Society 24(1):128\u2013139","journal-title":"IEEE Transactions on Neural Systems & Rehabilitation Engineering A Publication of the IEEE Engineering in Medicine & Biology Society"},{"issue":"12","key":"1917_CR6","doi-asserted-by":"publisher","first-page":"1007","DOI":"10.1007\/s11517-014-1204-4","volume":"52","author":"S Bhattacharyya","year":"2014","unstructured":"Bhattacharyya S, Konar A, Tibarewala DN (2014) Motor imagery, p300 and error-related eeg-based robot arm movement control for rehabilitation purpose. Med Biol Eng Comput 52(12):1007\u20131017","journal-title":"Med Biol Eng Comput"},{"key":"1917_CR7","doi-asserted-by":"crossref","unstructured":"Savi\u0107 AM, Popovi\u0107 MB. (2016) Brain computer interface prototypes for upper limb rehabilitation: a review of principles and experimental results. Telecommunications forum Telfor (pp.452-459). IEEE","DOI":"10.1109\/TELFOR.2015.7377505"},{"issue":"10","key":"1917_CR8","doi-asserted-by":"publisher","first-page":"861","DOI":"10.1007\/s11517-014-1191-5","volume":"52","author":"R Corralejo","year":"2014","unstructured":"Corralejo R, Nicol\u00e1s-Alonso LF, Alvarez D, Hornero R (2014) A p300-based brain-computer interface aimed at operating electronic devices at home for severely disabled people. Med Biol Eng Comput 52(10):861\u2013872","journal-title":"Med Biol Eng Comput"},{"issue":"6","key":"1917_CR9","doi-asserted-by":"publisher","first-page":"1085","DOI":"10.1109\/TNSRE.2015.2415520","volume":"23","author":"YK Wang","year":"2015","unstructured":"Wang YK, Jung TP, Lin CT (2015) Eeg-based attention tracking during distracted driving. IEEE Trans Neural Syst Rehabil Eng 23(6):1085\u20131094","journal-title":"IEEE Trans Neural Syst Rehabil Eng"},{"issue":"5","key":"1917_CR10","doi-asserted-by":"publisher","first-page":"567","DOI":"10.1007\/s11517-011-0750-2","volume":"49","author":"P Horki","year":"2011","unstructured":"Horki P, Solis-Escalante T, Neuper C, M\u00fcller-Putz G (2011) Combined motor imagery and ssvep based bci control of a 2 dof artificial upper limb. Med Biol Eng Comput 49(5):567\u2013577","journal-title":"Med Biol Eng Comput"},{"issue":"6","key":"1917_CR11","doi-asserted-by":"publisher","first-page":"965","DOI":"10.1007\/s11517-016-1560-3","volume":"55","author":"Y Punsawad","year":"2017","unstructured":"Punsawad Y, Wongsawat Y (2017) A multi-command ssvep-based bci system based on single flickering frequency half-field steady-state visual stimulation. Med Biol Eng Comput 55(6):965\u2013977","journal-title":"Med Biol Eng Comput"},{"key":"1917_CR12","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/j.conb.2015.12.005","volume":"37","author":"MD Golub","year":"2016","unstructured":"Golub MD, Chase SM, Batista AP, Yu BM (2016) Brain-computer interfaces for dissecting cognitive processes underlying sensorimotor control. Curr Opin Neurobiol 37:53\u201358","journal-title":"Curr Opin Neurobiol"},{"issue":"6","key":"1917_CR13","doi-asserted-by":"publisher","first-page":"871","DOI":"10.1109\/JPROC.2015.2404941","volume":"103","author":"F Lotte","year":"2015","unstructured":"Lotte F (2015) Signal processing approaches to minimize or suppress calibration time in oscillatory activity-based brain\u2013computer interfaces. Proc IEEE 103(6):871\u2013890","journal-title":"Proc IEEE"},{"issue":"2","key":"1917_CR14","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1007\/s10044-012-0298-2","volume":"16","author":"W Tu","year":"2013","unstructured":"Tu W, Sun S (2013) Semi-supervised feature extraction for eeg classification. Pattern Anal Applic 16(2):213\u2013222","journal-title":"Pattern Anal Applic"},{"issue":"4","key":"1917_CR15","doi-asserted-by":"publisher","first-page":"1461","DOI":"10.1109\/JBHI.2013.2285232","volume":"18","author":"J Meng","year":"2014","unstructured":"Meng J, Sheng X, Zhang D, Zhu X (2014) Improved semisupervised adaptation for a small training dataset in the brain-computer interface. IEEE J Biomed Health Inform 18(4):1461\u20131472","journal-title":"IEEE J Biomed Health Inform"},{"issue":"1","key":"1917_CR16","doi-asserted-by":"publisher","first-page":"67","DOI":"10.3233\/IDA-150794","volume":"20","author":"M Chen","year":"2016","unstructured":"Chen M, Tan X, Zhang L (2016) An iterative self-training support vector machine algorithm in brain-computer interfaces. Intelligent Data Analysis 20(1):67\u201382","journal-title":"Intelligent Data Analysis"},{"key":"1917_CR17","unstructured":"Lotte F (2011) Generating artificial eeg signals to reduce bci calibration time. 5th international brain-computer Interface workshop, Graz, p 176\u2013179"},{"issue":"1","key":"1917_CR18","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1109\/MCI.2015.2501545","volume":"11","author":"V Jayaram","year":"2015","unstructured":"Jayaram V, Alamgir M, Altun Y, Scholkopf B (2015) Transfer learning in brain-computer interfaces. IEEE Comput Intell Mag 11(1):20\u201331","journal-title":"IEEE Comput Intell Mag"},{"key":"1917_CR19","doi-asserted-by":"crossref","unstructured":"Dalhoumi S, Dray G, Montmain J (2014) Knowledge transfer for reducing calibration time in brain-computer interfacing. IEEE, international conference on TOOLS with artificial intelligence. IEEE, Limassol, p 634\u2013639","DOI":"10.1109\/ICTAI.2014.100"},{"issue":"2","key":"1917_CR20","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1109\/TBME.2010.2082539","volume":"58","author":"F Lotte","year":"2011","unstructured":"Lotte F, Guan C (2011) Regularizing common spatial patterns to improve bci designs: unified theory and new algorithms. IEEE Trans Biomed Eng 58(2):355\u2013362","journal-title":"IEEE Trans Biomed Eng"},{"issue":"12","key":"1917_CR21","doi-asserted-by":"publisher","first-page":"2936","DOI":"10.1109\/TBME.2010.2082540","volume":"57","author":"H Lu","year":"2010","unstructured":"Lu H, Eng HL, Guan C, Plataniotis KN, Venetsanopoulos AN (2010) Regularized common spatial pattern with aggregation for eeg classification in small-sample setting. IEEE Trans Biomed Eng 57(12):2936\u20132946","journal-title":"IEEE Trans Biomed Eng"},{"key":"1917_CR22","doi-asserted-by":"crossref","unstructured":"Lotte F, Guan C (2010) Learning from other subjects helps reducing brain-computer Interface calibration time. IEEE International Conference on Acoustics Speech and Signal Processing, vol 23. IEEE, Arras, p 614\u2013617","DOI":"10.1109\/ICASSP.2010.5495183"},{"issue":"8","key":"1917_CR23","doi-asserted-by":"publisher","first-page":"683","DOI":"10.1109\/LSP.2009.2022557","volume":"16","author":"H Kang","year":"2009","unstructured":"Kang H, Nam Y, Choi S (2009) Composite common spatial pattern for subject-to-subject transfer. IEEE Signal Process Lett 16(8):683\u2013686","journal-title":"IEEE Signal Process Lett"},{"issue":"4","key":"1917_CR24","doi-asserted-by":"publisher","first-page":"920","DOI":"10.1109\/TBME.2011.2172210","volume":"59","author":"A Barachant","year":"2012","unstructured":"Barachant A, Bonnet S, Congedo M, Jutten C (2012) Multiclass brain-computer interface classification by riemannian geometry. IEEE Trans Biomed Eng 59(4):920\u2013928","journal-title":"IEEE Trans Biomed Eng"},{"key":"1917_CR25","doi-asserted-by":"crossref","unstructured":"Tu W, Sun S (2012) A subject transfer framework for EEG classification. Neurocomputing\u00a082:109\u2013116","DOI":"10.1016\/j.neucom.2011.10.024"},{"issue":"9","key":"1917_CR26","doi-asserted-by":"publisher","first-page":"1305","DOI":"10.1016\/j.neunet.2009.06.003","volume":"22","author":"S Fazli","year":"2009","unstructured":"Fazli S, Popescu F, Dan\u00f3czy M, Blankertz B, M\u00fcller KR, Grozea C (2009) Subject-independent mental state classification in single trials. Neural Netw 22(9):1305\u20131312","journal-title":"Neural Netw"},{"key":"1917_CR27","unstructured":"Tu W, Sun S (2012) Dynamical ensemble learning with model-friendly classifiers for domain adaptation. International Conference on Pattern Recognition (pp.1181-1184). IEEE"},{"issue":"11","key":"1917_CR28","doi-asserted-by":"publisher","first-page":"1842","DOI":"10.1016\/S1388-2457(99)00141-8","volume":"110","author":"G Pfurtscheller","year":"1999","unstructured":"Pfurtscheller G, Fh LDS (1999) Event-related eeg\/meg synchronization and desynchronization: basic principles. Clin Neurophysiol 110(11):1842\u20131857","journal-title":"Clin Neurophysiol"},{"key":"1917_CR29","first-page":"39","volume":"6","author":"KA Kai","year":"2012","unstructured":"Kai KA, Zheng YC, Wang C, Guan C, Zhang H (2012) Filter bank common spatial pattern algorithm on bci competition iv datasets 2a and 2b. Front Neurosci 6:39","journal-title":"Front Neurosci"},{"issue":"2","key":"1917_CR30","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1109\/TBME.2009.2032162","volume":"57","author":"C Gouypailler","year":"2010","unstructured":"Gouypailler C, Congedo M, Brunner C, Jutten C, Pfurtscheller G (2010) Nonstationary brain source separation for multiclass motor imagery. IEEE Trans Biomed Eng 57(2):469\u2013478","journal-title":"IEEE Trans Biomed Eng"},{"issue":"5","key":"1917_CR31","doi-asserted-by":"publisher","first-page":"1412","DOI":"10.1109\/TBME.2011.2105869","volume":"58","author":"H Wang","year":"2011","unstructured":"Wang H (2011) Multiclass filters by a weighted pairwise criterion for eeg single-trial classification. IEEE Trans Biomed Eng 58(5):1412\u20131420","journal-title":"IEEE Trans Biomed Eng"},{"issue":"4","key":"1917_CR32","doi-asserted-by":"publisher","first-page":"046014","DOI":"10.1088\/1741-2560\/10\/4\/046014","volume":"10","author":"J Asensiocubero","year":"2013","unstructured":"Asensiocubero J, Gan JQ, Palaniappan R (2013) Multiresolution analysis over simple graphs for brain computer interfaces. J Neural Eng 10(4):046014","journal-title":"J Neural Eng"}],"container-title":["Medical & Biological Engineering & Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-018-1917-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11517-018-1917-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-018-1917-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,11,28]],"date-time":"2019-11-28T19:18:36Z","timestamp":1574968716000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11517-018-1917-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11,29]]},"references-count":32,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2019,4]]}},"alternative-id":["1917"],"URL":"https:\/\/doi.org\/10.1007\/s11517-018-1917-x","relation":{},"ISSN":["0140-0118","1741-0444"],"issn-type":[{"type":"print","value":"0140-0118"},{"type":"electronic","value":"1741-0444"}],"subject":[],"published":{"date-parts":[[2018,11,29]]},"assertion":[{"value":"15 November 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 October 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 November 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}