{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,29]],"date-time":"2025-05-29T04:01:59Z","timestamp":1748491319869,"version":"3.41.0"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319204659"},{"type":"electronic","value":"9783319204666"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-20466-6_44","type":"book-chapter","created":{"date-parts":[[2015,6,1]],"date-time":"2015-06-01T11:20:57Z","timestamp":1433157657000},"page":"415-424","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Motor Imagery Electroencephalograph Classification Based on Optimized Support Vector Machine by Magnetic Bacteria Optimization Algorithm"],"prefix":"10.1007","author":[{"given":"Hongwei","family":"Mo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanyan","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,6,2]]},"reference":[{"key":"44_CR1","first-page":"1211","volume":"12","author":"LF Nicolas-Alonso","year":"2012","unstructured":"Nicolas-Alonso, L.F., Gomez-Gil, J.: Brain Computer Interfaces: a Review. Sensors 12, 1211\u20131279 (2012)","journal-title":"Brain Computer Interfaces: a Review. Sensors"},{"key":"44_CR2","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1109\/86.847823","volume":"8","author":"JR Wolpaw","year":"2000","unstructured":"Wolpaw, J.R., McFarland, D.J., Vaughan, T.M.: Brain-computer Interface Research at the Wadsworth Center. IEEE Trans. Rehabil. Eng. 8, 222\u2013226 (2000)","journal-title":"IEEE Trans. Rehabil. Eng."},{"issue":"10","key":"44_CR3","doi-asserted-by":"publisher","first-page":"2452","DOI":"10.1109\/TBME.2008.923152","volume":"55","author":"B Blankertz","year":"2008","unstructured":"Blankertz, B., Losch, F., Krauledat, M., Dornhege, G., Curio, G., M\u00fcller, K.-R.: The Berlin Brain-Computer Interface: Accurate Performance from First-session in BCI-na\u00efve Subjects. IEEE Trans. Biomed. Eng. 55(10), 2452\u20132462 (2008)","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"44_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TNSRE.2003.814454","volume":"11","author":"G Pfurtscheller","year":"2003","unstructured":"Pfurtscheller, G., Neuper, C., Muller, G.R., Obermaier, B., Krausz, G., Schlogl, A., Scherer, R., Graimann, B., Keinrath, C., Skliris, D.: Graz-BCI: State of the Art and Clinical Applications. IEEE Trans. Neural Sys. Rehabil. Eng. 11, 1\u20134 (2003)","journal-title":"IEEE Trans. Neural Sys. Rehabil. Eng."},{"key":"44_CR5","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1016\/j.neucom.2014.09.078","volume":"151","author":"E Hortal","year":"2015","unstructured":"Hortal, E., Planelles, D., Costa, A., I\u00e1\u00f1ez, E., \u00dabeda, A., Azor\u00edn, J.M., Fern\u00e1ndez, E.: SVM\u2013based Brain-Machine Interface for Controlling a Robot Arm Through Four Mental Tasks. Neurocomputing 151, 116\u2013121 (2015)","journal-title":"Neurocomputing"},{"key":"44_CR6","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1016\/j.engappai.2014.05.011","volume":"34","author":"L Siuly","year":"2014","unstructured":"Siuly, L.: Y.: A Novel Statistical Algorithm for Multiclass EEG Signal Classification. Engineering Applications of Artificial Intelligence 34, 154\u2013167 (2014)","journal-title":"Engineering Applications of Artificial Intelligence"},{"key":"44_CR7","doi-asserted-by":"publisher","first-page":"056004","DOI":"10.1088\/1741-2560\/8\/5\/056004","volume":"8","author":"N Jrad","year":"2011","unstructured":"Jrad, N., Congedo, M., Phlypo, R., Rousseau, S., Flamary, R., Yger, F., Rakotomamonjy, A.: Sw-svm: Sensor Weighting Support Vector Machines for EEG-based Brain\u2013computer Interfaces. J. Neural Eng. 8, 056004 (2011)","journal-title":"J. Neural Eng."},{"key":"44_CR8","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/j.bspc.2014.03.007","volume":"13","author":"K Fu","year":"2014","unstructured":"Fu, K., Qu, J., Chai, Y., Dong, Y.: Classification of Seizure Based on the Time-frequency Image of EEG Signals Using HHT and SVM. Biomedical Signal Processing and Control 13, 15\u201322 (2014)","journal-title":"Biomedical Signal Processing and Control"},{"key":"44_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.bspc.2013.08.006","volume":"9","author":"V Joshi","year":"2014","unstructured":"Joshi, V., Pachori, R.B., Vijesh, A.: Classification of Ictal and Seizure-free EEG Signals Using Fractional Linear Prediction. Biomedical Signal Processing and Control 9, 1\u20135 (2014)","journal-title":"Biomedical Signal Processing and Control"},{"key":"44_CR10","doi-asserted-by":"crossref","unstructured":"Ianez, E., Ubeda, A., Hortal, E., Azorin, J.M.: Mental tasks selection method for a SVM-based BCI system. In: IEEE International Systems Conference (2013)","DOI":"10.1109\/SysCon.2013.6549970"},{"key":"44_CR11","doi-asserted-by":"publisher","first-page":"576","DOI":"10.1016\/j.compbiomed.2013.01.020","volume":"43","author":"A Subasi","year":"2013","unstructured":"Subasi, A.: Classification of EMG Signals Using PSO Optimized SVM for Diagnosis of Neuromuscular Disorders. Computers in Biology and Medicine 43, 576\u2013586 (2013)","journal-title":"Computers in Biology and Medicine"},{"key":"44_CR12","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1016\/j.asoc.2009.11.003","volume":"11","author":"I Aydin","year":"2011","unstructured":"Aydin, I., Karakose, M., Akin, E.: A Multi-objective Artificial Immune Algorithm for Parameter Optimization in Support Vector Machine. Applied Soft Computing 11, 120\u2013129 (2011)","journal-title":"Applied Soft Computing"},{"key":"44_CR13","doi-asserted-by":"publisher","first-page":"6748","DOI":"10.1016\/j.eswa.2010.02.126","volume":"37","author":"S Fei","year":"2010","unstructured":"Fei, S.: Diagnostic Study on Arrhythmia Cordis Based on Particle Swarm Optimization-based Support Vector Machine. Expert Systems with Applications 37, 6748\u20136752 (2010)","journal-title":"Expert Systems with Applications"},{"key":"44_CR14","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1007\/s11030-010-9234-9","volume":"15","author":"M Fernandez","year":"2011","unstructured":"Fernandez, M., Caballero, J., Fernandez, L., Sarai, A.: Genetic Algorithm Optimization in Drug Design QSAR: Bayesian-regularized Genetic Neural Networks (BRGNN) and Genetic Algorithm-optimized Support Vectors Machines. Comprehensive Review Mol Divers 15, 269\u2013289 (2011)","journal-title":"Comprehensive Review Mol Divers"},{"key":"44_CR15","doi-asserted-by":"crossref","unstructured":"Mo, H.W.: Research on magnetotactic bacteria optimization algorithm. In: The Fifth International Conference on Advanced Computational Intelligence (ICACI 2012), Nanjing (2012)","DOI":"10.1109\/ICACI.2012.6463198"},{"key":"44_CR16","doi-asserted-by":"crossref","unstructured":"Mo, H.W., Xu, L.F.: Magnetotactic bacteria optimization algorithm for multimodal optimization. In: IEEE Symposium on Swarm Intelligence (SIS), Singapore, pp. 240\u2013247 (2013)","DOI":"10.1109\/SIS.2013.6615185"},{"key":"44_CR17","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"318","DOI":"10.1007\/978-3-662-45049-9_52","volume-title":"Bio-Inspired Computing - Theories and Applications","author":"H Mo","year":"2014","unstructured":"Mo, H., Liu, L., Xu, L., Zhao, Y.: Research on magnetotactic bacteria optimization algorithm based on the best individual. In: Pan, L., P\u0103un, G., P\u00e9rez-Jim\u00e9nez, M.J., Song, T. (eds.) BIC-TA 2014. CCIS, vol. 472, pp. 318\u2013322. Springer, Heidelberg (2014)"},{"key":"44_CR18","doi-asserted-by":"crossref","unstructured":"Mo, H.W., Geng, M.J.: Magnetotactic bacteria optimization algorithm based on best-rand scheme. In: 6th Naturei and Biologically Inspired Computing, Porto Portugal, pp. 59\u201364 (2014)","DOI":"10.1109\/NaBIC.2014.6921854"},{"key":"44_CR19","doi-asserted-by":"crossref","unstructured":"Mo, H.W., Liu, L.L.: Magnetotactic bacteria optimization algorithm based on best-target scheme. In: International Conference on Nature Computing and Fuzzy Knowledge, Xiamen, China, pp. 103\u2013114 (2014)","DOI":"10.1109\/ICNC.2014.6975877"},{"issue":"7\u20138","key":"44_CR20","doi-asserted-by":"publisher","first-page":"1823","DOI":"10.1007\/s00521-014-1672-3","volume":"25","author":"HW Mo","year":"2014","unstructured":"Mo, H.W., Liu, L.L., Xu, L.F.: A Power Spectrum Optimization Algorithm Inspired by Magnetotactic Bacteria. Neural Computing and Applications 25(7\u20138), 1823\u20131844 (2014)","journal-title":"Neural Computing and Applications"},{"key":"44_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1007\/978-3-319-11857-4_12","volume-title":"Advances in Swarm Intelligence","author":"H Mo","year":"2014","unstructured":"Mo, H., Liu, L., Geng, M.: A new magnetotactic bacteria optimization algorithm based on moment migration. In: Tan, Y., Shi, Y., Coello, C.A. (eds.) ICSI 2014, Part I. LNCS, vol. 8794, pp. 103\u2013114. Springer, Heidelberg (2014)"},{"key":"44_CR22","doi-asserted-by":"publisher","first-page":"432","DOI":"10.1016\/j.neucom.2009.07.012","volume":"73","author":"B Nasihatkon","year":"2009","unstructured":"Nasihatkon, B., Boostani, R., Jahromi, M.Z.: An Efficient Hybrid Linear and Kernel CSP Approach for EEG Feature Extraction. Neurocomputing 73, 432\u2013437 (2009)","journal-title":"Neurocomputing"},{"key":"44_CR23","volume-title":"Genetic Algorithms in Search Optimization and Machine Learning","author":"D Goldberg","year":"1989","unstructured":"Goldberg, D.: Genetic Algorithms in Search Optimization and Machine Learning. Addison-Wesley, Reading (1989)"},{"key":"44_CR24","doi-asserted-by":"crossref","unstructured":"Kennedy, J., Eberhart, R.: Particle swarm optimization. In: IEEE Int. Conf. on Neural Networks, Piscataway, NJ, pp. 1942\u20131948 (1995)","DOI":"10.1109\/ICNN.1995.488968"},{"key":"44_CR25","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"807","DOI":"10.1007\/3-540-45356-3_79","volume-title":"Parallel Problem Solving from Nature-PPSN VI","author":"V Tereshko","year":"2000","unstructured":"Tereshko, V.: Reaction\u2013diffusion model of a honeybee colony\u2019s foraging behaviour. In: Deb, K., Rudolph, G., Lutton, E., Merelo, J.J., Schoenauer, M., Schwefel, H.-P., Yao, X. (eds.) PPSN 2000. LNCS, vol. 1917, pp. 807\u2013816. Springer, Heidelberg (2000)"},{"key":"44_CR26","doi-asserted-by":"publisher","first-page":"702","DOI":"10.1109\/TEVC.2008.919004","volume":"12","author":"D Simon","year":"2008","unstructured":"Simon, D.: Biogeography-based Optimization. IEEE Trans on Evolutionary Computation. 12, 702\u2013713 (2008)","journal-title":"IEEE Trans on Evolutionary Computation."},{"key":"44_CR27","unstructured":"BCI Competition IV. http:\/\/www.bbci.de\/competition\/iv\/"}],"container-title":["Lecture Notes in Computer Science","Advances in Swarm and Computational Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-20466-6_44","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,28]],"date-time":"2025-05-28T05:59:49Z","timestamp":1748411989000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-20466-6_44"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319204659","9783319204666"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-20466-6_44","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"2 June 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}