{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,18]],"date-time":"2026-01-18T13:50:32Z","timestamp":1768744232741,"version":"3.49.0"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2019,1,28]],"date-time":"2019-01-28T00:00:00Z","timestamp":1548633600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61473223"],"award-info":[{"award-number":["61473223"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007128","name":"Natural Science Foundation of Shaanxi Province","doi-asserted-by":"publisher","award":["2017JM1043"],"award-info":[{"award-number":["2017JM1043"]}],"id":[{"id":"10.13039\/501100007128","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. &amp; Cyber."],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1007\/s13042-019-00921-w","type":"journal-article","created":{"date-parts":[[2019,1,28]],"date-time":"2019-01-28T21:08:43Z","timestamp":1548709723000},"page":"3339-3348","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["A novel EEG-complexity-based feature and its application on the epileptic seizure detection"],"prefix":"10.1007","volume":"10","author":[{"given":"Shu-Ling","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5610-0957","authenticated-orcid":false,"given":"Bo","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong-Li","family":"Su","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiang-Ling","family":"Song","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,1,28]]},"reference":[{"key":"921_CR1","unstructured":"Song J-L, Zhang R (2016) Automatic seizure detection using a novel eeg feature based on nonlinear complexity. In: 2016 international joint conference on neural networks (IJCNN), pp 1686\u20131693"},{"key":"921_CR2","first-page":"410422","volume":"68","author":"A Torre-Luque de la","year":"2016","unstructured":"de la Torre-Luque A, Bornas X, Balle M, Fiol-Veny A (2016) Complexity and nonlinear biomarkers in emotional disorders: a meta-analytic study. Neurosci Biobehav Rev 68:410422","journal-title":"Neurosci Biobehav Rev"},{"key":"921_CR3","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1159\/000076724","volume":"49","author":"M Yoshimura","year":"2004","unstructured":"Yoshimura M, Isotani T, Yagyu T, Irisawa S, Yoshida T, Sugiyama M (2004) Global approach to multichannel electroencephalogram analysis for diagnosis and clinical evaluation in mild alzheimer\u2019s disease. Neuropsychobiology 49:163\u2013166","journal-title":"Neuropsychobiology"},{"key":"921_CR4","doi-asserted-by":"publisher","first-page":"571","DOI":"10.1016\/j.biopsych.2008.10.046","volume":"65","author":"A Fernandez","year":"2009","unstructured":"Fernandez A, Quintero J, Hornero R, Zuluaga P, Navas M, Gomez C, Escudero J, Garca-Campos N, Ortiz JBT (2009) Complexity analysis of spontaneous brain activity in attention-deficit\/hyperactivity disorder: Diagnostic implications. Biol Psychiatry 65:571\u2013577","journal-title":"Biol Psychiatry"},{"key":"921_CR5","doi-asserted-by":"publisher","first-page":"115","DOI":"10.4306\/pi.2008.5.2.115","volume":"5","author":"SH Lee","year":"2008","unstructured":"Lee SH, Choo J, Im W, Chae J (2008) Nonlinear analysis of electroencephalogram in schizophrenia patients with persistent auditory hallucination. Psychiatry Invest 5:115\u2013120","journal-title":"Psychiatry Invest"},{"key":"921_CR6","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1016\/j.jneumeth.2012.07.003","volume":"210","author":"Y Song","year":"2012","unstructured":"Song Y, Crowcroft J, Zhang J (2012) Automated epileptic seizure detection in EEGs based on optimized sample entropy and extreme learning machine. J Neurosci Methods 210:132\u2013146","journal-title":"J Neurosci Methods"},{"key":"921_CR7","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1016\/j.eswa.2011.07.008","volume":"39","author":"N Nicolaou","year":"2012","unstructured":"Nicolaou N, Georgiou J (2012) Detection of epileptic electroencephalogram based on permutation entropy and support vector machines. Expert Syst Appl 39:202\u2013209","journal-title":"Expert Syst Appl"},{"key":"921_CR8","doi-asserted-by":"publisher","first-page":"401","DOI":"10.1016\/j.bspc.2011.07.007","volume":"7","author":"UR Acharya","year":"2012","unstructured":"Acharya UR, Molinari F, Subbhuraam VS, Chattopadhyay S (2012) Automated diagnosis of epileptic EEG using entropies. Biomed Signal Process Control 7:401\u2013408","journal-title":"Biomed Signal Process Control"},{"key":"921_CR9","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1016\/j.neucom.2013.11.009","volume":"133","author":"Y Kumar","year":"2014","unstructured":"Kumar Y, Dewal ML, Anand RS (2014) Epileptic seizure detection using DWT based fuzzy approximate entropy and support vector machine. Neurocomputing 133:271\u2013279","journal-title":"Neurocomputing"},{"key":"921_CR10","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1103\/PhysRevLett.50.346","volume":"50","author":"P Grassberger","year":"1983","unstructured":"Grassberger P, Procaccia I (1983) Characterization of strange attractors. Phys Rev Lett 50:346\u2013349","journal-title":"Phys Rev Lett"},{"key":"921_CR11","doi-asserted-by":"crossref","first-page":"197","DOI":"10.55782\/ane-1996-1121","volume":"56","author":"J Wackermann","year":"1996","unstructured":"Wackermann J (1996) Beyond mapping: estimating complexity of multichannel eeg recordings. Acta Neurobiol Exp 56:197\u2013208","journal-title":"Acta Neurobiol Exp"},{"key":"921_CR12","doi-asserted-by":"publisher","first-page":"5033","DOI":"10.1073\/pnas.91.11.5033","volume":"91","author":"G Tononi","year":"1994","unstructured":"Tononi G, Sporns O, Edelman G (1994) A measure for brain complexity: relating functional segregation and integration in the nervous system. Proc Natl Acad Sci USA 91:5033\u20135037","journal-title":"Proc Natl Acad Sci USA"},{"key":"921_CR13","doi-asserted-by":"publisher","first-page":"823","DOI":"10.1016\/j.compbiomed.2010.08.005","volume":"40","author":"K-C Hsu","year":"2010","unstructured":"Hsu K-C, Yu SN (2010) Detection of seizures in eeg using subband nonlinear parameters and genetic algorithm. Comput Biol Med 40:823\u2013830","journal-title":"Comput Biol Med"},{"key":"921_CR14","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1007\/BF01619355","volume":"7","author":"SM Pincus","year":"1991","unstructured":"Pincus SM, Gladstone IM, Ehrenkranz RA (1991) A regularity statistic for medical data analysis. J Clin Monit Comput 7:335\u2013345","journal-title":"J Clin Monit Comput"},{"key":"921_CR15","doi-asserted-by":"publisher","first-page":"383","DOI":"10.1016\/j.neucom.2015.10.070","volume":"175","author":"JL Song","year":"2016","unstructured":"Song JL, Hu WF, Zhang R (2016) Automated detection of epileptic EEGs using a novel fusion feature and extreme learning machine. Neurocomputing 175:383\u2013391","journal-title":"Neurocomputing"},{"key":"921_CR16","doi-asserted-by":"publisher","first-page":"807","DOI":"10.1016\/j.compbiomed.2013.04.002","volume":"43","author":"S Li","year":"2013","unstructured":"Li S, Zhou W, Yuan Q, Geng S, Cai D (2013) Feature extraction and recognition of ictal EEG using EMD and SVM. Comput Biol Med 43:807\u2013816","journal-title":"Comput Biol Med"},{"key":"921_CR17","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1016\/j.yebeh.2014.11.025","volume":"43","author":"Y Zhang","year":"2015","unstructured":"Zhang Y, Zhou W, Yuan S, Yuan Q (2015) Seizure detection method based on fractal dimension and gradient boosting. Eoilepsy Behav 43:30\u201338","journal-title":"Eoilepsy Behav"},{"key":"921_CR18","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1016\/j.compbiomed.2011.10.010","volume":"42","author":"K Majumdar","year":"2012","unstructured":"Majumdar K (2012), Differential operator in seizure detection. Comput Biol Med 42:70\u201374","journal-title":"Comput Biol Med"},{"key":"921_CR19","first-page":"965","volume":"3","author":"X Zhang","year":"2012","unstructured":"Zhang X, Wang T, Liang X, ao F, Li Y (2012) A class-based feature weighting method for text classification. J Comput Inf Syst 3:965\u2013972","journal-title":"J Comput Inf Syst"},{"key":"921_CR20","doi-asserted-by":"crossref","unstructured":"Wang Q, Ye Y, Huang J (2008) Fuzzy k-means with variable weighting in high dimensional data analysis. In: Proceedings of web-age information management, pp 365\u2013372","DOI":"10.1109\/WAIM.2008.50"},{"key":"921_CR21","first-page":"1769","volume":"26","author":"L Wang","year":"2012","unstructured":"Wang L, Wang J (2012) Feature weighting fuzzy clustering integrating rough sets and shadowed sets. Int J Pattern Recognit Artif Intell 26:1769\u20131776","journal-title":"Int J Pattern Recognit Artif Intell"},{"key":"921_CR22","doi-asserted-by":"publisher","first-page":"7922","DOI":"10.1016\/j.eswa.2010.04.043","volume":"37","author":"S Gunes","year":"2010","unstructured":"Gunes S, Polat K (2010) Efficient sleep stage recognition system based on eeg signal using k-means clustering based feature weighting. Expert Syst Appl 37:7922\u20137928","journal-title":"Expert Syst Appl"},{"key":"921_CR23","unstructured":"Shoeb AH. Application of machine learning to epileptic seizure onset detection and treatment. Phd thesis, Massachusetts Institute of Technology"},{"key":"921_CR24","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.bspc.2013.11.010","volume":"10","author":"L-L Chen","year":"2014","unstructured":"Chen L-L, Zhang J, Zou J-Z, Zhao C-J, Wang G-S (2014) A framework on wavelet-based nonlinear features and extreme learning machine for epileptic seizure detection. Biomed Signal Process Control 10:1\u201310","journal-title":"Biomed Signal Process Control"},{"issue":"11","key":"921_CR25","doi-asserted-by":"publisher","first-page":"3473","DOI":"10.1007\/s00500-018-3203-0","volume":"22","author":"Xizhao Wang","year":"2018","unstructured":"Wang X, Cao W, Non-iterative approaches in training feed-forward neural networks and their applications. Soft Computing. https:\/\/doi.org\/10.1007\/s00500-018-3203-0","journal-title":"Soft Computing"},{"key":"921_CR26","doi-asserted-by":"publisher","first-page":"278","DOI":"10.1016\/j.neucom.2017.08.040","volume":"275","author":"X Weipeng Cao","year":"2018","unstructured":"Weipeng Cao X, Wang Z, Ming J, Gao (2018) A review on neural networks with random weights. Neurocomputing 275:278\u2013287","journal-title":"Neurocomputing"},{"key":"921_CR27","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1016\/j.eplepsyres.2011.04.013","volume":"96","author":"Q Yuan","year":"2011","unstructured":"Yuan Q, Zhou W, Li S, Cai D (2011) Epileptic EEG classification based on extreme learning machine and nonlinear features. Epilepsy Res 96:29\u201338","journal-title":"Epilepsy Res"},{"key":"921_CR28","doi-asserted-by":"publisher","first-page":"945","DOI":"10.1007\/s11045-016-0419-y","volume":"28","author":"J-L Song","year":"2017","unstructured":"Song J-L, Zhang R (2017) Application of extreme learning machine to epileptic seizure detection based on lagged poincare plots. Multidimension Syst Signal Process 28:945\u2013959","journal-title":"Multidimension Syst Signal Process"},{"key":"921_CR29","doi-asserted-by":"publisher","first-page":"358","DOI":"10.1016\/j.cmpb.2010.11.014","volume":"104","author":"Y SiulyLi","year":"2011","unstructured":"Siuly, YLi, Wen (2011) Clustering technique-based least square support vector machine for EEG signal classification. Comput Meth Prog Biomed 104:358\u2013372","journal-title":"Comput Meth Prog Biomed"},{"key":"921_CR30","doi-asserted-by":"publisher","first-page":"703","DOI":"10.1109\/TCYB.2017.2653223","volume":"48","author":"R Xizhao Wang","year":"2018","unstructured":"Xizhao Wang R, Wang C, Xu (2018) Discovering the relationship between generalization and uncertainty by incorporating complexity of classification. IEEE Trans Cybern 48:703\u2013715","journal-title":"IEEE Trans Cybern"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13042-019-00921-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-019-00921-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-019-00921-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,14]],"date-time":"2024-07-14T11:16:37Z","timestamp":1720955797000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13042-019-00921-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1,28]]},"references-count":30,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2019,12]]}},"alternative-id":["921"],"URL":"https:\/\/doi.org\/10.1007\/s13042-019-00921-w","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,1,28]]},"assertion":[{"value":"5 June 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 January 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 January 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}