{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:27:29Z","timestamp":1767338849006},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2017,3,31]],"date-time":"2017-03-31T00:00:00Z","timestamp":1490918400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"Jiangsu Province Science and Technology Support Program of  China","award":["No. BE2012740"],"award-info":[{"award-number":["No. BE2012740"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1007\/s00521-017-2950-7","type":"journal-article","created":{"date-parts":[[2017,3,31]],"date-time":"2017-03-31T05:59:36Z","timestamp":1490939976000},"page":"3677-3691","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Application of artificial bee colony algorithm in feature optimization for motor imagery EEG classification"],"prefix":"10.1007","volume":"30","author":[{"given":"Minmin","family":"Miao","sequence":"first","affiliation":[]},{"given":"Aimin","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Feixiang","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,3,31]]},"reference":[{"issue":"7\u20138","key":"2950_CR1","doi-asserted-by":"publisher","first-page":"1931","DOI":"10.1007\/s00521-012-1244-3","volume":"23","author":"SQ Hu","year":"2013","unstructured":"Hu SQ, Tian QQ, Cao Y, Zhang JH, Kong WZ (2013) Motor imagery classification based on joint regression model and spectral power. Neural Comput Appl 23(7\u20138):1931\u20131936. doi:\n                        10.1007\/s00521-012-1244-3","journal-title":"Neural Comput Appl"},{"issue":"4","key":"2950_CR2","doi-asserted-by":"publisher","first-page":"1303","DOI":"10.1016\/j.neuroimage.2010.03.022","volume":"51","author":"B Blankertz","year":"2010","unstructured":"Blankertz B, Sannelli C, Haider S, Hammer EM, Kubler A, Muller KR, Curio G, Dickhaus T (2010) Neurophysiological predictor of SMR-based BCI performance. Neuroimage 51(4):1303\u20131309. doi:\n                        10.1016\/j.neuroimage.2010.03.022","journal-title":"Neuroimage"},{"issue":"3","key":"2950_CR3","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1016\/j.bspc.2009.03.005","volume":"4","author":"NF Ince","year":"2009","unstructured":"Ince NF, Goksu F, Tewfik AH, Arica S (2009) Adapting subject specific motor imagery EEG patterns in space-time-frequency for a brain computer interface. Biomed Signal Process Control 4(3):236\u2013246. doi:\n                        10.1016\/j.bspc.2009.03.005","journal-title":"Biomed Signal Process Control"},{"issue":"5","key":"2950_CR4","doi-asserted-by":"publisher","first-page":"851","DOI":"10.1002\/ana.24390","volume":"77","author":"F Pichiorri","year":"2015","unstructured":"Pichiorri F, Morone G, Petti M, Toppi J, Pisotta I, Molinari M, Paolucci S, Inghilleri M, Astolfi L, Cincotti F, Mattia D (2015) Brain-computer interface boosts motor imagery practice during stroke recovery. Ann Neurol 77(5):851\u2013865. doi:\n                        10.1002\/ana.24390","journal-title":"Ann Neurol"},{"issue":"1","key":"2950_CR5","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1007\/s40846-016-0102-7","volume":"36","author":"M Tavakolan","year":"2016","unstructured":"Tavakolan M, Yong XY, Zhang X, Menon C (2016) Classification scheme for arm motor imagery. J Med Biol Eng 36(1):12\u201321. doi:\n                        10.1007\/s40846-016-0102-7","journal-title":"J Med Biol Eng"},{"issue":"6","key":"2950_CR6","doi-asserted-by":"publisher","first-page":"999","DOI":"10.1162\/NECO_a_00838","volume":"28","author":"M Hamedi","year":"2016","unstructured":"Hamedi M, Salleh SH, Noor AM (2016) Electroencephalographic motor imagery brain connectivity analysis for BCI: a review. Neural Comput 28(6):999\u20131041. doi:\n                        10.1162\/NECO_a_00838","journal-title":"Neural Comput"},{"issue":"4","key":"2950_CR7","doi-asserted-by":"publisher","first-page":"799","DOI":"10.1007\/s00521-014-1753-3","volume":"26","author":"S Siuly","year":"2015","unstructured":"Siuly S, Li Y (2015) Discriminating the brain activities for brain-computer interface applications through the optimal allocation-based approach. Neural Comput Appl 26(4):799\u2013811. doi:\n                        10.1007\/s00521-014-1753-3","journal-title":"Neural Comput Appl"},{"issue":"2","key":"2950_CR8","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1109\/tbme.2010.2082539","volume":"58","author":"F Lotte","year":"2011","unstructured":"Lotte F, Guan CT (2011) regularizing common spatial patterns to improve BCI designs: unified theory and new algorithms. IEEE Trans Biomed Eng 58(2):355\u2013362. doi:\n                        10.1109\/tbme.2010.2082539","journal-title":"IEEE Trans Biomed Eng"},{"issue":"4","key":"2950_CR9","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1109\/86.895946","volume":"8","author":"H Ramoser","year":"2000","unstructured":"Ramoser H, Muller-Gerking J, Pfurtscheller G (2000) Optimal spatial filtering of single trial EEG during imagined hand movement. Ieee Trans Rehabil Eng 8(4):441\u2013446. doi:\n                        10.1109\/86.895946","journal-title":"Ieee Trans Rehabil Eng"},{"issue":"11","key":"2950_CR10","doi-asserted-by":"publisher","first-page":"2274","DOI":"10.1109\/tbme.2006.883649","volume":"53","author":"G Dornhege","year":"2006","unstructured":"Dornhege G, Blankertz B, Krauledat M, Losch F, Curio G, Muller KR (2006) Combined optimization of spatial and temporal filters for improving brain-computer interfacing. IEEE Trans Biomed Eng 53(11):2274\u20132281. doi:\n                        10.1109\/tbme.2006.883649","journal-title":"IEEE Trans Biomed Eng"},{"issue":"11","key":"2950_CR11","doi-asserted-by":"publisher","first-page":"2730","DOI":"10.1109\/tbme.2009.2026181","volume":"56","author":"KP Thomas","year":"2009","unstructured":"Thomas KP, Guan CT, Lau CT, Vinod AP, Ang KK (2009) A new discriminative common spatial pattern method for motor imagery brain-computer interfaces. IEEE Trans Biomed Eng 56(11):2730\u20132733. doi:\n                        10.1109\/tbme.2009.2026181","journal-title":"IEEE Trans Biomed Eng"},{"key":"2950_CR12","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1016\/j.neucom.2015.02.057","volume":"161","author":"CY Kee","year":"2015","unstructured":"Kee CY, Ponnambalam SC, Loo CK (2015) Multi-objective genetic algorithm as channel selection method for P300 and motor imagery data set. Neurocomputing 161:120\u2013131. doi:\n                        10.1016\/j.neucom.2015.02.057","journal-title":"Neurocomputing"},{"key":"2950_CR13","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1016\/j.bspc.2013.08.012","volume":"10","author":"P Xu","year":"2014","unstructured":"Xu P, Liu TJ, Zhang R, Zhang YS, Yao DZ (2014) Using particle swarm to select frequency band and time interval for feature extraction of EEG based BCI. Biomed Signal Process Control 10:289\u2013295. doi:\n                        10.1016\/j.bspc.2013.08.012","journal-title":"Biomed Signal Process Control"},{"issue":"6","key":"2950_CR14","doi-asserted-by":"publisher","first-page":"2137","DOI":"10.1016\/j.patcog.2011.04.018","volume":"45","author":"KK Ang","year":"2012","unstructured":"Ang KK, Chin ZY, Zhang HH, Guan CT (2012) Mutual information-based selection of optimal spatial-temporal patterns for single-trial EEG-based BCIs. Pattern Recogn 45(6):2137\u20132144. doi:\n                        10.1016\/j.patcog.2011.04.018","journal-title":"Pattern Recogn"},{"issue":"8","key":"2950_CR15","doi-asserted-by":"publisher","first-page":"633","DOI":"10.1016\/j.compbiomed.2011.05.014","volume":"41","author":"WY Hsu","year":"2011","unstructured":"Hsu WY (2011) EEG-based motor imagery classification using enhanced active segment selection and adaptive classifier. Comput Biol Med 41(8):633\u2013639. doi:\n                        10.1016\/j.compbiomed.2011.05.014","journal-title":"Comput Biol Med"},{"issue":"12","key":"2950_CR16","doi-asserted-by":"publisher","first-page":"2744","DOI":"10.1016\/j.clinph.2004.06.022","volume":"115","author":"T Wang","year":"2004","unstructured":"Wang T, Deng H, He B (2004) Classifying EEG-based motor imagery tasks by means of time-frequency synthesized spatial patterns. Clin Neurophysiol 115(12):2744\u20132753. doi:\n                        10.1016\/j.clinph.2004.06.022","journal-title":"Clin Neurophysiol"},{"key":"2950_CR17","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/1\/1\/001","author":"T Wang","year":"2004","unstructured":"Wang T, He B (2004) An efficient rhythmic component expression and weighting synthesis strategy for classifying motor imagery EEG in a brain-computer interface. J Neural Eng. doi:\n                        10.1088\/1741-2560\/1\/1\/001","journal-title":"J Neural Eng"},{"issue":"4","key":"2950_CR18","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1016\/j.compbiomed.2011.11.014","volume":"42","author":"B Wu","year":"2012","unstructured":"Wu B, Yang F, Zhang JC, Wang YW, Zheng XX, Chen WD (2012) A frequency\u2013temporal-spatial method for motor-related electroencephalography pattern recognition by comprehensive feature optimization. Comput Biol Med 42(4):353\u2013363. doi:\n                        10.1016\/j.compbiomed.2011.11.014","journal-title":"Comput Biol Med"},{"key":"2950_CR19","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/537218","author":"H Higashi","year":"2013","unstructured":"Higashi H, Tanaka T (2013) Common spatio-time-frequency patterns for motor imagery-based brain machine interfaces. Comput Intell Neurosci. doi:\n                        10.1155\/2013\/537218","journal-title":"Comput Intell Neurosci"},{"issue":"1","key":"2950_CR20","doi-asserted-by":"publisher","first-page":"687","DOI":"10.1016\/j.asoc.2007.05.007","volume":"8","author":"D Karaboga","year":"2008","unstructured":"Karaboga D, Basturk B (2008) On the performance of artificial bee colony (ABC) algorithm. Appl Soft Comput 8(1):687\u2013697. doi:\n                        10.1016\/j.asoc.2007.05.007","journal-title":"Appl Soft Comput"},{"issue":"3","key":"2950_CR21","doi-asserted-by":"publisher","first-page":"687","DOI":"10.1016\/j.cor.2011.06.007","volume":"39","author":"WF Gao","year":"2012","unstructured":"Gao WF, Liu SY (2012) A modified artificial bee colony algorithm. Comput Op Res 39(3):687\u2013697. doi:\n                        10.1016\/j.cor.2011.06.007","journal-title":"Comput Op Res"},{"issue":"2","key":"2950_CR22","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1109\/tnsre.2006.875642","volume":"14","author":"B Blankertz","year":"2006","unstructured":"Blankertz B, Muller KR, Krusienski DJ, Schalk G, Wolpaw JR, Schlogl A, Pfurtscheller G, Millan JDR, Schroder M, Birbaumer N (2006) The BCI competition III: validating alternative approaches to actual BCI problems. IEEE Trans Neural Syst Rehabil Eng 14(2):153\u2013159. doi:\n                        10.1109\/tnsre.2006.875642","journal-title":"IEEE Trans Neural Syst Rehabil Eng"},{"key":"2950_CR23","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/9\/5\/056002","author":"Y Shin","year":"2012","unstructured":"Shin Y, Lee S, Lee J, Lee HN (2012) Sparse representation-based classification scheme for motor imagery-based brain-computer interface systems. J Neural Eng. doi:\n                        10.1088\/1741-2560\/9\/5\/056002","journal-title":"J Neural Eng"},{"issue":"1","key":"2950_CR24","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/j.amc.2009.03.090","volume":"214","author":"D Karaboga","year":"2009","unstructured":"Karaboga D, Akay B (2009) A comparative study of artificial bee colony algorithm. Appl Math Comput 214(1):108\u2013132. doi:\n                        10.1016\/j.amc.2009.03.090","journal-title":"Appl Math Comput"},{"issue":"9\u201312","key":"2950_CR25","doi-asserted-by":"publisher","first-page":"2079","DOI":"10.1007\/s00170-014-6774-7","volume":"78","author":"M Saravanan","year":"2015","unstructured":"Saravanan M, Arulkumar PV (2015) An artificial bee colony algorithm for design and optimize the fixed area layout problems. Int J Adv Manuf Technol 78(9\u201312):2079\u20132095. doi:\n                        10.1007\/s00170-014-6774-7","journal-title":"Int J Adv Manuf Technol"},{"issue":"9","key":"2950_CR26","doi-asserted-by":"publisher","first-page":"1541","DOI":"10.1109\/tbme.2005.851521","volume":"52","author":"S Lemm","year":"2005","unstructured":"Lemm S, Blankertz B, Curio G, Muller KR (2005) Spatio-spectral filters for improving the classification of single trial EEG. IEEE Trans Biomed Eng 52(9):1541\u20131548. doi:\n                        10.1109\/tbme.2005.851521","journal-title":"IEEE Trans Biomed Eng"},{"key":"2950_CR27","unstructured":"Ang KK, Chin ZY, Zhang HH, Guan CT, Ieee (2008) Filter bank common spatial pattern (FBCSP) in brain-computer interface. In: 2008 IEEE international joint conference on neural networks (IJCNN), vols 1\u20138, pp 2390\u20132397"},{"issue":"1","key":"2950_CR28","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1109\/tnn.2010.2084099","volume":"22","author":"HH Zhang","year":"2011","unstructured":"Zhang HH, Chin ZY, Ang KK, Guan CT, Wang CC (2011) Optimum spatio-spectral filtering network for brain-computer interface. IEEE Trans Neural Netw 22(1):52\u201363. doi:\n                        10.1109\/tnn.2010.2084099","journal-title":"IEEE Trans Neural Netw"},{"issue":"2","key":"2950_CR29","doi-asserted-by":"publisher","first-page":"286","DOI":"10.1109\/tpami.2012.69","volume":"35","author":"HI Suk","year":"2013","unstructured":"Suk HI, Lee SW (2013) A novel Bayesian framework for discriminative feature extraction in brain-computer interfaces. IEEE Trans Pattern Anal Mach Intell 35(2):286\u2013299. doi:\n                        10.1109\/tpami.2012.69","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"2950_CR30","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2012.00055","author":"M Tangermann","year":"2012","unstructured":"Tangermann M, Muller KR, Aertsen A, Birbaumer N, Braun C, Brunner C, Leeb R, Mehring C, Miller KJ, Muller-Putz GR, Nolte G, Pfurtscheller G, Preissl H, Schalk G, Schogl A, Vidaurre C, Waldert S, Blankertz B (2012) Review of the BCI competition IV. Front Neurosci. doi:\n                        10.3389\/fnins.2012.00055","journal-title":"Front Neurosci"},{"key":"2950_CR31","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/j.neucom.2012.11.004","volume":"104","author":"JJ Meng","year":"2013","unstructured":"Meng JJ, Huang G, Zhang DG, Zhu XY (2013) Optimizing spatial spectral patterns jointly with channel configuration for brain-computer interface. Neurocomputing 104:115\u2013126. doi:\n                        10.1016\/j.neucom.2012.11.004","journal-title":"Neurocomputing"},{"key":"2950_CR32","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1016\/j.eswa.2016.08.007","volume":"64","author":"AK Das","year":"2016","unstructured":"Das AK, Suresh S, Sundararajan N (2016) A discriminative subject-specific spatio-spectral filter selection approach for EEG based motor-imagery task classification. Expert Syst Appl 64:375\u2013384. doi:\n                        10.1016\/j.eswa.2016.08.007","journal-title":"Expert Syst Appl"},{"issue":"3\u20134","key":"2950_CR33","doi-asserted-by":"publisher","first-page":"625","DOI":"10.1007\/s00521-013-1523-7","volume":"25","author":"M Arvaneh","year":"2014","unstructured":"Arvaneh M, Guan CT, Ang KK, Quek C (2014) Mutual information-based optimization of sparse spatio-spectral filters in brain-computer interface. Neural Comput Appl 25(3\u20134):625\u2013634. doi:\n                        10.1007\/s00521-013-1523-7","journal-title":"Neural Comput Appl"},{"issue":"6","key":"2950_CR34","doi-asserted-by":"publisher","first-page":"1733","DOI":"10.1109\/tbme.2008.919125","volume":"55","author":"W Wu","year":"2008","unstructured":"Wu W, Gao XR, Hong B, Gao SK (2008) Classifying single-trial EEG during motor imagery by iterative spatio-spectral patterns learning (ISSPL). IEEE Trans Biomed Eng 55(6):1733\u20131743. doi:\n                        10.1109\/tbme.2008.919125","journal-title":"IEEE Trans Biomed Eng"},{"issue":"2","key":"2950_CR35","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1504\/IJBRA.2013.052447","volume":"9","author":"Li Y Siuly","year":"2013","unstructured":"Siuly Li Y, Wen P (2013) Identification of motor imagery tasks through CC\u2013LR algorithm in brain computer interface. Int J Bioinform Res Appl 9(2):156\u2013172","journal-title":"Int J Bioinform Res Appl"},{"key":"2950_CR36","doi-asserted-by":"crossref","unstructured":"Siuly, Li Y, Wu J, Yang J (2011) Developing a logistic regression model with cross-correlation for motor imagery signal recognition. In: 2011 IEEE\/ICME international conference on complex medical engineering (CME), pp 502\u2013507","DOI":"10.1109\/ICCME.2011.5876793"},{"key":"2950_CR37","doi-asserted-by":"publisher","unstructured":"Novi Q, Guan C, Dat TH, Xue P, Ieee (2007) Sub-band common spatial pattern (SBCSP) for brain-computer interface. In: 2007 3rd international IEEE\/EMBS conference on neural engineering, vols 1 and 2. doi:\n                        10.1109\/cne.2007.369647","DOI":"10.1109\/cne.2007.369647"},{"key":"2950_CR38","doi-asserted-by":"publisher","first-page":"677","DOI":"10.1016\/j.neucom.2014.08.006","volume":"149","author":"S Kang","year":"2015","unstructured":"Kang S, Cho S, Kang P (2015) Constructing a multi-class classifier using one-against-one approach with different binary classifiers. Neurocomputing 149:677\u2013682. doi:\n                        10.1016\/j.neucom.2014.08.006","journal-title":"Neurocomputing"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-017-2950-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-017-2950-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-017-2950-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,11,27]],"date-time":"2018-11-27T10:39:01Z","timestamp":1543315141000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-017-2950-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,3,31]]},"references-count":38,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2018,12]]}},"alternative-id":["2950"],"URL":"https:\/\/doi.org\/10.1007\/s00521-017-2950-7","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,3,31]]}}}