{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,8]],"date-time":"2024-10-08T04:17:35Z","timestamp":1728361055709},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"33","license":[{"start":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T00:00:00Z","timestamp":1709164800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T00:00:00Z","timestamp":1709164800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62106049"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003392","name":"Natural Science Foundation of Fujian Province","doi-asserted-by":"publisher","award":["2022J01655"],"id":[{"id":"10.13039\/501100003392","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"DOI":"10.1007\/s11042-024-18648-4","type":"journal-article","created":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T07:02:15Z","timestamp":1709190135000},"page":"79627-79646","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Cross-subject EEG feature matrix classification method and its application in brain-computer interface"],"prefix":"10.1007","volume":"83","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-5985-6001","authenticated-orcid":false,"given":"Tian-jian","family":"Luo","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,2,29]]},"reference":[{"issue":"1","key":"18648_CR1","doi-asserted-by":"publisher","first-page":"011001","DOI":"10.1088\/1741-2552\/aaf12e","volume":"16","author":"R Abiri","year":"2019","unstructured":"Abiri R, Borhani S, Sellers EW, Jiang Y, Zhao X (2019) A comprehensive review of EEG-based brain\u2013computer interface paradigms. J Neural Eng 16(1):011001","journal-title":"J Neural Eng"},{"issue":"4","key":"18648_CR2","doi-asserted-by":"publisher","first-page":"57","DOI":"10.3390\/brainsci8040057","volume":"8","author":"A Rezeika","year":"2018","unstructured":"Rezeika A, Benda M, Stawicki P, Gembler F, Saboor A, Volosyak I (2018) Brain\u2013computer interface spellers: a review. Brain Sci 8(4):57","journal-title":"Brain Sci"},{"issue":"2","key":"18648_CR3","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1080\/10447318.2019.1612213","volume":"36","author":"GAM Vasiljevic","year":"2020","unstructured":"Vasiljevic GAM, de Miranda LC (2020) Brain\u2013computer interface games based on consumer-grade EEG devices: a systematic literature review. Int J Hum-Comput Interact 36(2):105\u2013142","journal-title":"Int J Hum-Comput Interact"},{"key":"18648_CR4","doi-asserted-by":"publisher","first-page":"102172","DOI":"10.1016\/j.bspc.2020.102172","volume":"63","author":"A Al-Saegh","year":"2021","unstructured":"Al-Saegh A, Dawwd SA, Abdul-Jabbar JM (2021) Deep learning for motor imagery EEG-based classification: a review. Biomed Signal Process Control 63:102172","journal-title":"Biomed Signal Process Control"},{"issue":"4","key":"18648_CR5","doi-asserted-by":"publisher","first-page":"569","DOI":"10.1007\/s11571-021-09676-z","volume":"15","author":"L Xu","year":"2021","unstructured":"Xu L, Xu M, Jung TP, Ming D (2021) Review of brain encoding and decoding mechanisms for EEG-based brain\u2013computer interface. Cogn Neurodyn 15(4):569\u2013584","journal-title":"Cogn Neurodyn"},{"key":"18648_CR6","doi-asserted-by":"publisher","first-page":"103843","DOI":"10.1016\/j.compbiomed.2020.103843","volume":"123","author":"MA Khan","year":"2020","unstructured":"Khan MA, Das R, Iversen HK, Puthusserypady S (2020) Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation: from designing to application. Comput Biol Med 123:103843","journal-title":"Comput Biol Med"},{"key":"18648_CR7","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1146\/annurev-clinpsy-050718-095457","volume":"15","author":"G Hajcak","year":"2019","unstructured":"Hajcak G, Klawohn J, Meyer A (2019) The utility of event-related potentials in clinical psychology. Annu Rev Clin Psychol 15:71\u201395","journal-title":"Annu Rev Clin Psychol"},{"issue":"8","key":"18648_CR8","doi-asserted-by":"publisher","first-page":"2266","DOI":"10.1109\/TBME.2019.2958641","volume":"67","author":"X Xiao","year":"2019","unstructured":"Xiao X, Xu M, Jin J, Wang Y, Jung TP, Ming D (2019) Discriminative canonical pattern matching for single-trial classification of ERP components. IEEE Trans Biomed Eng 67(8):2266\u20132275","journal-title":"IEEE Trans Biomed Eng"},{"issue":"7","key":"18648_CR9","doi-asserted-by":"publisher","first-page":"1378","DOI":"10.1109\/TNSRE.2019.2922713","volume":"27","author":"Y Park","year":"2019","unstructured":"Park Y, Chung W (2019) Frequency-optimized local region common spatial pattern approach for motor imagery classification. IEEE Trans Neural Syst Rehabil Eng 27(7):1378\u20131388","journal-title":"IEEE Trans Neural Syst Rehabil Eng"},{"key":"18648_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.neunet.2020.12.013","volume":"136","author":"K Zhang","year":"2021","unstructured":"Zhang K, Robinson N, Lee SW, Guan C (2021) Adaptive transfer learning for EEG motor imagery classification with deep convolutional neural network. Neural Netw 136:1\u201310","journal-title":"Neural Netw"},{"key":"18648_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2020.102101","volume":"62","author":"Y Liang","year":"2020","unstructured":"Liang Y, Ma Y (2020) Calibrating EEG features in motor imagery classification tasks with a small amount of current data using multisource fusion transfer learning. Biomed Signal Process Control 62:102101","journal-title":"Biomed Signal Process Control"},{"key":"18648_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2020.102144","volume":"63","author":"R Zhang","year":"2021","unstructured":"Zhang R, Zong Q, Dou L, Zhao X, Tang Y, Li Z (2021) Hybrid deep neural network using transfer learning for EEG motor imagery decoding. Biomed Signal Process Control 63:102144","journal-title":"Biomed Signal Process Control"},{"issue":"10","key":"18648_CR13","doi-asserted-by":"publisher","first-page":"1950025","DOI":"10.1142\/S0129065719500254","volume":"29","author":"P Gaur","year":"2019","unstructured":"Gaur P, McCreadie K, Pachori RB, Wang H, Prasad G (2019) Tangent space features-based transfer learning classification model for two-class motor imagery brain\u2013computer interface. Int J Neural Syst 29(10):1950025","journal-title":"Int J Neural Syst"},{"issue":"3","key":"18648_CR14","doi-asserted-by":"publisher","first-page":"551","DOI":"10.1109\/TNSRE.2018.2794534","volume":"26","author":"Q Zheng","year":"2018","unstructured":"Zheng Q, Zhu F, Heng PA (2018) Robust support matrix machine for single trial EEG classification. IEEE Trans Neural Syst Rehabil Eng 26(3):551\u2013562","journal-title":"IEEE Trans Neural Syst Rehabil Eng"},{"issue":"5","key":"18648_CR15","doi-asserted-by":"publisher","first-page":"1107","DOI":"10.1109\/TBME.2017.2742541","volume":"65","author":"P Zanini","year":"2017","unstructured":"Zanini P, Congedo M, Jutten C, Said S, Berthoumieu Y (2017) Transfer learning: a Riemannian geometry framework with applications to brain\u2013computer interfaces. IEEE Trans Biomed Eng 65(5):1107\u20131116","journal-title":"IEEE Trans Biomed Eng"},{"issue":"4","key":"18648_CR16","doi-asserted-by":"publisher","first-page":"920","DOI":"10.1109\/TBME.2011.2172210","volume":"59","author":"A Barachant","year":"2011","unstructured":"Barachant A, Bonnet S, Congedo M, Jutten C (2011) Multiclass brain\u2013computer interface classification by Riemannian geometry. IEEE Trans Biomed Eng 59(4):920\u2013928","journal-title":"IEEE Trans Biomed Eng"},{"issue":"2","key":"18648_CR17","doi-asserted-by":"publisher","first-page":"399","DOI":"10.1109\/TBME.2019.2913914","volume":"67","author":"H He","year":"2019","unstructured":"He H, Wu D (2019) Transfer learning for brain\u2013computer interfaces: a Euclidean space data alignment approach. IEEE Trans Biomed Eng 67(2):399\u2013410","journal-title":"IEEE Trans Biomed Eng"},{"issue":"8","key":"18648_CR18","doi-asserted-by":"publisher","first-page":"2390","DOI":"10.1109\/TBME.2018.2889705","volume":"66","author":"PLC Rodrigues","year":"2018","unstructured":"Rodrigues PLC, Jutten C, Congedo M (2018) Riemannian procrustes analysis: transfer learning for brain\u2013computer interfaces. IEEE Trans Biomed Eng 66(8):2390\u20132401","journal-title":"IEEE Trans Biomed Eng"},{"key":"18648_CR19","doi-asserted-by":"publisher","first-page":"39","DOI":"10.3389\/fnins.2012.00039","volume":"6","author":"KK Ang","year":"2012","unstructured":"Ang KK, Chin ZY, 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":"18648_CR20","doi-asserted-by":"publisher","first-page":"814","DOI":"10.1016\/j.neuroimage.2010.06.048","volume":"56","author":"B Blankertz","year":"2011","unstructured":"Blankertz B, Lemm S, Treder M, Haufe S, M\u00fcller KR (2011) Single-trial analysis and classification of ERP components\u2014a tutorial. Neuroimage 56(2):814\u2013825","journal-title":"Neuroimage"},{"key":"18648_CR21","doi-asserted-by":"publisher","first-page":"715","DOI":"10.1016\/j.patcog.2017.10.003","volume":"76","author":"Q Zheng","year":"2018","unstructured":"Zheng Q, Zhu F, Qin J, Chen B, Heng PA (2018) Sparse support matrix machine. Pattern Recogn 76:715\u2013726","journal-title":"Pattern Recogn"},{"key":"18648_CR22","doi-asserted-by":"publisher","first-page":"869","DOI":"10.1016\/j.neucom.2017.09.030","volume":"275","author":"Q Zheng","year":"2018","unstructured":"Zheng Q, Zhu F, Qin J, Heng PA (2018) Multiclass support matrix machine for single trial EEG classification. Neurocomputing 275:869\u2013880","journal-title":"Neurocomputing"},{"key":"18648_CR23","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1016\/j.neucom.2019.08.074","volume":"380","author":"DA Altantawy","year":"2020","unstructured":"Altantawy DA, Saleh AI, Kishk SS (2020) Bi-perspective fisher discrimination for single depth map upsampling: a self-learning classification-based approach. Neurocomputing 380:321\u2013340","journal-title":"Neurocomputing"},{"key":"18648_CR24","doi-asserted-by":"crossref","unstructured":"Tangermann M, M\u00fcller KR, Aertsen A, Birbaumer N, Braun C, Brunner C, ..., Blankertz B (2012) Review of the BCI competition IV. Front Neurosci 6:55","DOI":"10.3389\/fnins.2012.00055"},{"key":"18648_CR25","doi-asserted-by":"crossref","unstructured":"Margaux P, Emmanuel M, S\u00e9bastien D, Olivier B, J\u00e9r\u00e9mie M (2012) Objective and subjective evaluation of online error correction during P300-based spelling.\u00a0Adv Hum-Comput Interact 2012:578295","DOI":"10.1155\/2012\/578295"},{"key":"18648_CR26","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1016\/j.neuroimage.2019.05.026","volume":"198","author":"L Pion-Tonachini","year":"2019","unstructured":"Pion-Tonachini L, Kreutz-Delgado K, Makeig S (2019) ICLabel: an automated electroencephalographic independent component classifier, dataset, and website. Neuroimage 198:181\u2013197","journal-title":"Neuroimage"},{"key":"18648_CR27","doi-asserted-by":"publisher","first-page":"104347","DOI":"10.1016\/j.compbiomed.2021.104347","volume":"132","author":"G Placidi","year":"2021","unstructured":"Placidi G, Cinque L, Polsinelli M (2021) A fast and scalable framework for automated artifact recognition from EEG signals represented in scalp topographies of independent components. Comput Biol Med 132:104347","journal-title":"Comput Biol Med"},{"issue":"5","key":"18648_CR28","doi-asserted-by":"publisher","first-page":"1117","DOI":"10.1109\/TNSRE.2020.2985996","volume":"28","author":"W Zhang","year":"2020","unstructured":"Zhang W, Wu D (2020) Manifold embedded knowledge transfer for brain-computer interfaces. IEEE Trans Neural Syst Rehabil Eng 28(5):1117\u20131127","journal-title":"IEEE Trans Neural Syst Rehabil Eng"},{"issue":"2","key":"18648_CR29","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1109\/TNN.2010.2091281","volume":"22","author":"SJ Pan","year":"2010","unstructured":"Pan SJ, Tsang IW, Kwok JT, Yang Q (2010) Domain adaptation via transfer component analysis. IEEE Trans Neural Networks 22(2):199\u2013210","journal-title":"IEEE Trans Neural Networks"},{"key":"18648_CR30","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1016\/j.neucom.2012.12.039","volume":"112","author":"A Barachant","year":"2013","unstructured":"Barachant A, Bonnet S, Congedo M, Jutten C (2013) Classification of covariance matrices using a Riemannian-based kernel for BCI applications. Neurocomputing 112:172\u2013178","journal-title":"Neurocomputing"},{"key":"18648_CR31","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1007\/978-3-319-58347-1_8","volume-title":"Domain adaptation in computer vision applications","author":"B Sun","year":"2017","unstructured":"Sun B, Feng J, Saenko K (2017) Correlation alignment for unsupervised domain adaptation. Domain adaptation in computer vision applications. Springer, Cham, pp 153\u2013171"},{"key":"18648_CR32","doi-asserted-by":"crossref","unstructured":"Gong B, Shi Y, Sha F, Grauman K (2012) Geodesic flow kernel for unsupervised domain adaptation. In: 2012 IEEE conference on computer vision and pattern recognition. IEEE, pp 2066\u20132073","DOI":"10.1109\/CVPR.2012.6247911"},{"key":"18648_CR33","doi-asserted-by":"crossref","unstructured":"Long M, Wang J, Ding G, Sun J, Yu PS (2013) Transfer feature learning with joint distribution adaptation. In: Proceedings of the IEEE international conference on computer vision. pp 2200\u20132207","DOI":"10.1109\/ICCV.2013.274"},{"key":"18648_CR34","doi-asserted-by":"crossref","unstructured":"Zhang J, Li W, Ogunbona P (2017) Joint geometrical and statistical alignment for visual domain adaptation. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp 1859\u20131867","DOI":"10.1109\/CVPR.2017.547"},{"key":"18648_CR35","doi-asserted-by":"publisher","first-page":"109489","DOI":"10.1016\/j.jneumeth.2022.109489","volume":"370","author":"Y Cai","year":"2022","unstructured":"Cai Y, She Q, Ji J, Ma Y, Zhang J, Zhang Y (2022) Motor imagery EEG decoding using manifold embedded transfer learning. J Neurosci Methods 370:109489","journal-title":"J Neurosci Methods"},{"issue":"6","key":"18648_CR36","doi-asserted-by":"publisher","first-page":"1519","DOI":"10.1109\/TKDE.2014.2373376","volume":"27","author":"M Long","year":"2014","unstructured":"Long M, Wang J, Sun J, Philip SY (2014) Domain invariant transfer kernel learning. IEEE Trans Knowl Data Eng 27(6):1519\u20131532","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"18648_CR37","doi-asserted-by":"publisher","first-page":"106150","DOI":"10.1016\/j.cmpb.2021.106150","volume":"207","author":"X Zhang","year":"2021","unstructured":"Zhang X, She Q, Chen Y, Kong W, Mei C (2021) Sub-band target alignment common spatial pattern in brain-computer interface. Comput Methods Programs Biomed 207:106150","journal-title":"Comput Methods Programs Biomed"},{"key":"18648_CR38","doi-asserted-by":"publisher","first-page":"104397","DOI":"10.1016\/j.bspc.2022.104397","volume":"80","author":"TJ Luo","year":"2023","unstructured":"Luo TJ (2023) Parallel genetic algorithm based common spatial patterns selection on time\u2013frequency decomposed EEG signals for motor imagery brain-computer interface. Biomed Signal Process Control 80:104397","journal-title":"Biomed Signal Process Control"},{"key":"18648_CR39","doi-asserted-by":"publisher","first-page":"107918","DOI":"10.1016\/j.patcog.2021.107918","volume":"115","author":"V Mishuhina","year":"2021","unstructured":"Mishuhina V, Jiang X (2021) Complex common spatial patterns on time-frequency decomposed EEG for brain-computer interface. Pattern Recogn 115:107918","journal-title":"Pattern Recogn"},{"key":"18648_CR40","doi-asserted-by":"publisher","first-page":"110586","DOI":"10.1016\/j.knosys.2023.110586","volume":"273","author":"Y Du","year":"2023","unstructured":"Du Y, Zhou Y, Xie Y, Zhou D, Shi J, Lei Y (2023) Unsupervised domain adaptation via progressive positioning of target-class prototypes. Knowl-Based Syst 273:110586","journal-title":"Knowl-Based Syst"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-024-18648-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-024-18648-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-024-18648-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,7]],"date-time":"2024-10-07T13:23:46Z","timestamp":1728307426000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-024-18648-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2,29]]},"references-count":40,"journal-issue":{"issue":"33","published-online":{"date-parts":[[2024,10]]}},"alternative-id":["18648"],"URL":"https:\/\/doi.org\/10.1007\/s11042-024-18648-4","relation":{},"ISSN":["1573-7721"],"issn-type":[{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2024,2,29]]},"assertion":[{"value":"31 May 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 October 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 February 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 February 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"All authors disclosed no relevant relationships.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interests"}}]}}