{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:44:36Z","timestamp":1767339876937},"reference-count":51,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2016,10,20]],"date-time":"2016-10-20T00:00:00Z","timestamp":1476921600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"the Key Program of Natural Science Foundation of Shandong Province","award":["No. ZR2013FZ002"],"award-info":[{"award-number":["No. ZR2013FZ002"]}]},{"name":"the Program of Science and Technology of Suzhou","award":["No. ZXY2013030"],"award-info":[{"award-number":["No. ZXY2013030"]}]},{"name":"the Development Program of Science and Technology of Shandong","award":["No.2014GSF118171"],"award-info":[{"award-number":["No.2014GSF118171"]}]},{"name":"the Fundamental Research Funds of Shandong University","award":["No.2014QY008"],"award-info":[{"award-number":["No.2014QY008"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Med Biol Eng Comput"],"published-print":{"date-parts":[[2017,8]]},"DOI":"10.1007\/s11517-016-1587-5","type":"journal-article","created":{"date-parts":[[2016,10,20]],"date-time":"2016-10-20T11:46:38Z","timestamp":1476963998000},"page":"1227-1238","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Sparse representation-based EMD and BLDA for automatic seizure detection"],"prefix":"10.1007","volume":"55","author":[{"given":"Shasha","family":"Yuan","sequence":"first","affiliation":[]},{"given":"Weidong","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Junhui","family":"Li","sequence":"additional","affiliation":[]},{"given":"Qi","family":"Wu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,10,20]]},"reference":[{"issue":"11","key":"1587_CR1","doi-asserted-by":"crossref","first-page":"1137","DOI":"10.1007\/s11517-011-0832-1","volume":"50","author":"AM Abdulghani","year":"2012","unstructured":"Abdulghani AM, Casson AJ, Rodriguez-Villegas E (2012) Compressive sensing scalp EEG signals: implementations and practical performance. Med Biol Eng Comput 50(11):1137\u20131145","journal-title":"Med Biol Eng Comput"},{"issue":"03","key":"1587_CR2","doi-asserted-by":"crossref","first-page":"1350009","DOI":"10.1142\/S0129065713500093","volume":"23","author":"UR Acharya","year":"2013","unstructured":"Acharya UR, Yanti R, Zheng JW, Krishnan MMR, Tan JH, Martis RJ, Lim CM (2013) Automated diagnosis of epilepsy using CWT, HOS and texture parameters. Int J Neural Syst 23(03):1350009","journal-title":"Int J Neural Syst"},{"issue":"1","key":"1587_CR3","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/S0165-0270(02)00340-0","volume":"123","author":"H Adeli","year":"2003","unstructured":"Adeli H, Zhou Z, Dadmehr N (2003) Analysis of EEG records in an epileptic patient using wavelet transform. J Neurosci Methods 123(1):69\u201387","journal-title":"J Neurosci Methods"},{"issue":"3","key":"1587_CR4","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1016\/j.medengphy.2012.05.005","volume":"35","author":"L Ayoubian","year":"2013","unstructured":"Ayoubian L, Lacoma H, Gotman J (2013) Automatic seizure detection in SEEG using high frequency activities in wavelet domain. Med Eng Phys 35(3):319\u2013328","journal-title":"Med Eng Phys"},{"issue":"6","key":"1587_CR5","doi-asserted-by":"crossref","first-page":"1135","DOI":"10.1109\/TITB.2011.2181403","volume":"16","author":"V Bajaj","year":"2012","unstructured":"Bajaj V, Pachori RB (2012) Classification of seizure and nonseizure EEG signals using empirical mode decomposition. IEEE Trans Inf Technol Biomed 16(6):1135\u20131142","journal-title":"IEEE Trans Inf Technol Biomed"},{"issue":"11","key":"1587_CR6","doi-asserted-by":"crossref","first-page":"1308","DOI":"10.1136\/jnnp.57.11.1308","volume":"57","author":"CD Binnie","year":"1994","unstructured":"Binnie CD, Prior PF (1994) Electroencephalography. J Neurol Neurosurg Psychiatry 57(11):1308\u20131319","journal-title":"J Neurol Neurosurg Psychiatry"},{"key":"1587_CR7","volume-title":"Pattern recognition and machine learning","author":"CM Bishop","year":"2006","unstructured":"Bishop CM (2006) Pattern recognition and machine learning. Springer, New York"},{"issue":"s12","key":"1587_CR8","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1111\/j.0013-9580.2003.12005.x","volume":"44","author":"FL Silva Da","year":"2003","unstructured":"Da Silva FL, Blanes W, Kalitzin SN, Parra J, Suffczynski P, Velis DN (2003) Epilepsies as dynamical diseases of brain systems: basic models of the transition between normal and epileptic activity. Epilepsia 44(s12):72\u201383","journal-title":"Epilepsia"},{"issue":"4","key":"1587_CR9","doi-asserted-by":"crossref","first-page":"470","DOI":"10.1111\/j.0013-9580.2005.66104.x","volume":"46","author":"RS Fisher","year":"2005","unstructured":"Fisher RS, Boas WVE, Blume W, Elger C, Genton P, Lee P, Engel J (2005) Epileptic seizures and epilepsy: definitions proposed by the International League Against Epilepsy (ILAE) and the International Bureau for Epilepsy (IBE). Epilepsia 46(4):470\u2013472","journal-title":"Epilepsia"},{"issue":"9","key":"1587_CR10","doi-asserted-by":"crossref","first-page":"1545","DOI":"10.1109\/TBME.2007.891945","volume":"54","author":"S Ghosh-Dastidar","year":"2007","unstructured":"Ghosh-Dastidar S, Adeli H, Dadmehr N (2007) Mixed-band wavelet-chaos-neural network methodology for epilepsy and epileptic seizure detection. IEEE Trans Bio-Med Eng 54(9):1545\u20131551","journal-title":"IEEE Trans Bio-Med Eng"},{"issue":"5","key":"1587_CR11","doi-asserted-by":"crossref","first-page":"530","DOI":"10.1016\/0013-4694(82)90038-4","volume":"54","author":"J Gotman","year":"1982","unstructured":"Gotman J (1982) Automatic recognition of epileptic seizures in the EEG. Electroencephalogr Clin Neurophysiol 54(5):530\u2013540","journal-title":"Electroencephalogr Clin Neurophysiol"},{"issue":"4","key":"1587_CR12","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1016\/0013-4694(90)90032-F","volume":"76","author":"J Gotman","year":"1990","unstructured":"Gotman J (1990) Automatic seizure detection: improvements and evaluation. Electroencephalogr Clin Neurophysiol 76(4):317\u2013324","journal-title":"Electroencephalogr Clin Neurophysiol"},{"issue":"4","key":"1587_CR13","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1007\/s11517-010-0590-5","volume":"48","author":"C Guerrero-Mosquera","year":"2010","unstructured":"Guerrero-Mosquera C, Trigueros AM, Franco JI, Navia-V\u00e1zquez \u00c1 (2010) New feature extraction approach for epileptic EEG signal detection using time-frequency distributions. Med Biol Eng Comput 48(4):321\u2013330","journal-title":"Med Biol Eng Comput"},{"issue":"2","key":"1587_CR14","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1007\/s11517-010-0684-0","volume":"49","author":"CW Hall Jr","year":"2011","unstructured":"Hall CW Jr, Sarkar A (2011) Mutual information in natural position order of electroencephalogram is significantly increased at seizure onset. Med Biol Eng Comput 49(2):133\u2013141","journal-title":"Med Biol Eng Comput"},{"key":"1587_CR15","doi-asserted-by":"crossref","DOI":"10.1007\/978-0-387-84858-7","volume-title":"The elements of statistical learning","author":"T Hastie","year":"2009","unstructured":"Hastie T, Tibshirani R, Friedman J (2009) The elements of statistical learning. Springer, New York"},{"issue":"6","key":"1587_CR16","doi-asserted-by":"crossref","first-page":"576","DOI":"10.4065\/71.6.576","volume":"71","author":"WA Hauser","year":"1996","unstructured":"Hauser WA, Annegers JF, Rocca WA (1996) Descriptive epidemiology of epilepsy: contributions of population-based studies from Rochester, Minnesota. Mayo Clin Proc 71(6):576\u2013586","journal-title":"Mayo Clin Proc"},{"issue":"1","key":"1587_CR17","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.jneumeth.2007.03.005","volume":"167","author":"U Hoffmann","year":"2008","unstructured":"Hoffmann U, Vesin JM, Ebrahimi T, Diserens K (2008) An efficient P300-based brain\u2013computer interface for disabled subjects. J Neurosci Methods 167(1):115\u2013125","journal-title":"J Neurosci Methods"},{"issue":"5","key":"1587_CR18","doi-asserted-by":"crossref","first-page":"699","DOI":"10.1109\/TIP.2004.826125","volume":"13","author":"F Jing","year":"2004","unstructured":"Jing F, Li M, Zhang HJ, Zhang B (2004) An efficient and effective region-based image retrieval framework. IEEE Trans Image Process 13(5):699\u2013709","journal-title":"IEEE Trans Image Process"},{"issue":"2","key":"1587_CR19","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1109\/51.376754","volume":"14","author":"T Kalayci","year":"1995","unstructured":"Kalayci T, \u00d6zdamar \u00d6 (1995) Wavelet preprocessing for automated neural network detection of EEG spikes. IEEE Eng Med Biol 14(2):160\u2013166","journal-title":"IEEE Eng Med Biol"},{"issue":"3","key":"1587_CR20","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/j.cmpb.2005.06.012","volume":"80","author":"N Kannathal","year":"2005","unstructured":"Kannathal N, Choo ML, Acharya UR, Sadasivan PK (2005) Entropies for detection of epilepsy in EEG. Comput Methods Prog Bio 80(3):187\u2013194","journal-title":"Comput Methods Prog Bio"},{"issue":"5","key":"1587_CR21","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/j.imavis.2010.12.002","volume":"29","author":"V Karavasilis","year":"2011","unstructured":"Karavasilis V, Nikou C, Likas A (2011) Visual tracking using the earth mover\u2019s distance between gaussian mixtures and kalman filtering. Image Vis Comput 29(5):295\u2013305","journal-title":"Image Vis Comput"},{"issue":"5","key":"1587_CR22","doi-asserted-by":"crossref","first-page":"898","DOI":"10.1016\/S1388-2457(03)00035-X","volume":"114","author":"YU Khan","year":"2003","unstructured":"Khan YU, Gotman J (2003) Wavelet based automatic seizure detection in intracerebral electroencephalogram. Clin Neurophysiol 114(5):898\u2013908","journal-title":"Clin Neurophysiol"},{"issue":"5","key":"1587_CR23","doi-asserted-by":"crossref","first-page":"314","DOI":"10.1056\/NEJM200002033420503","volume":"342","author":"P Kwan","year":"2000","unstructured":"Kwan P, Brodie MJ (2000) Early identification of refractory epilepsy. New Engl J Med 342(5):314\u2013319","journal-title":"New Engl J Med"},{"issue":"6","key":"1587_CR24","doi-asserted-by":"crossref","first-page":"521","DOI":"10.1109\/TNSRE.2009.2027705","volume":"17","author":"X Lei","year":"2009","unstructured":"Lei X, Yang P, Yao D (2009) An empirical Bayesian framework for brain\u2013computer interfaces. IEEE Trans Neural Syst Rehabil 17(6):521\u2013529","journal-title":"IEEE Trans Neural Syst Rehabil"},{"key":"1587_CR25","doi-asserted-by":"crossref","unstructured":"Li P, Wang Q, Zhang L (2013) A novel earth mover\u2019s distance methodology for image matching with gaussian mixture models. In: IEEE International Conference on Computer Vision, pp. 1689\u20131696","DOI":"10.1109\/ICCV.2013.212"},{"issue":"5","key":"1587_CR26","doi-asserted-by":"crossref","first-page":"840","DOI":"10.1109\/TPAMI.2007.1058","volume":"29","author":"H Ling","year":"2007","unstructured":"Ling H, Okada K (2007) An efficient earth mover\u2019s distance algorithm for robust histogram comparison. IEEE Trans Pattern Anal 29(5):840\u2013853","journal-title":"IEEE Trans Pattern Anal"},{"issue":"6","key":"1587_CR27","doi-asserted-by":"crossref","first-page":"749","DOI":"10.1109\/TNSRE.2012.2206054","volume":"20","author":"Y Liu","year":"2012","unstructured":"Liu Y, Zhou W, Yuan Q, Chen S (2012) Automatic seizure detection using wavelet transform and SVM in long-term intracranial EEG. IEEE Trans Neural Syst Rehabil 20(6):749\u2013755","journal-title":"IEEE Trans Neural Syst Rehabil"},{"key":"1587_CR28","doi-asserted-by":"crossref","unstructured":"Logan B, Salomon A (2001) A music similarity function based on signal analysis. In: IEEE international conference on multimedia and expo, p. 190","DOI":"10.1109\/ICME.2001.1237829"},{"issue":"7","key":"1587_CR29","doi-asserted-by":"crossref","first-page":"659","DOI":"10.1007\/s11517-012-0904-x","volume":"50","author":"L Logesparan","year":"2012","unstructured":"Logesparan L, Casson AJ, Rodriguez-Villegas E (2012) Optimal features for online seizure detection. Med Biol Eng Comput 50(7):659\u2013669","journal-title":"Med Biol Eng Comput"},{"issue":"10","key":"1587_CR30","doi-asserted-by":"crossref","first-page":"929","DOI":"10.1007\/s11517-015-1303-x","volume":"53","author":"L Logesparan","year":"2015","unstructured":"Logesparan L, Rodriguez-Villegas E, Casson AJ (2015) The impact of signal normalization on seizure detection using line length features. Med Biol Eng Comput 53(10):929\u2013942","journal-title":"Med Biol Eng Comput"},{"key":"1587_CR31","doi-asserted-by":"crossref","DOI":"10.1007\/978-0-387-74503-9","volume-title":"Linear and nonlinear programming","author":"DG Luenberger","year":"2008","unstructured":"Luenberger DG, Ye Y (2008) Linear and nonlinear programming. Springer, New York"},{"issue":"4","key":"1587_CR32","doi-asserted-by":"crossref","first-page":"356","DOI":"10.1109\/TNSRE.2011.2157525","volume":"19","author":"KK Majumdar","year":"2011","unstructured":"Majumdar KK, Vardhan P (2011) Automatic seizure detection in ECoG by differential operator and windowed variance. IEEE Trans Neural Syst Rehabil 19(4):356\u2013365","journal-title":"IEEE Trans Neural Syst Rehabil"},{"issue":"05","key":"1587_CR33","doi-asserted-by":"crossref","first-page":"1350023","DOI":"10.1142\/S0129065713500238","volume":"23","author":"RJ Martis","year":"2013","unstructured":"Martis RJ, Acharya UR, Tan JH, Petznick A, Tong L, Chua CK, Ng EYK (2013) Application of intrinsic time-scale decomposition (ITD) to EEG signals for automated seizure prediction. Int J Neural Syst 23(05):1350023","journal-title":"Int J Neural Syst"},{"issue":"4","key":"1587_CR34","doi-asserted-by":"crossref","first-page":"330","DOI":"10.1016\/0013-4694(91)90128-Q","volume":"79","author":"AM Murro","year":"1991","unstructured":"Murro AM, King DW, Smith JR, Gallagher BB, Flanigin HF, Meador K (1991) Computerized seizure detection of complex partial seizures. Electroencephalogr Clin Neurophysiol 79(4):330\u2013333","journal-title":"Electroencephalogr Clin Neurophysiol"},{"key":"1587_CR35","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-015-1351-2","author":"ASM Murugavel","year":"2015","unstructured":"Murugavel ASM, Ramakrishnan S (2015) Hierarchical multi-class SVM with ELM kernel for epileptic EEG signal classification. Med Biol Eng Comput. doi: 10.1007\/s11517-015-1351-2","journal-title":"Med Biol Eng Comput"},{"issue":"11","key":"1587_CR36","doi-asserted-by":"crossref","first-page":"2724","DOI":"10.1109\/TBME.2014.2326921","volume":"61","author":"SB Nagaraj","year":"2014","unstructured":"Nagaraj SB, Stevenson NJ, Marnane WP, Boylan GB, Lightbody G (2014) Neonatal seizure detection using atomic decomposition with a novel dictionary. IEEE Trans Bio-Med Eng 61(11):2724\u20132732","journal-title":"IEEE Trans Bio-Med Eng"},{"issue":"3","key":"1587_CR37","doi-asserted-by":"crossref","first-page":"572","DOI":"10.1109\/JBHI.2013.2255132","volume":"17","author":"M Niknazar","year":"2013","unstructured":"Niknazar M, Mousavi SR, Vosoughi Vahdat B, Sayyah M (2013) A new framework based on recurrence quantification analysis for epileptic seizure detection. IEEE J Biomed Health Inform 17(3):572\u2013578","journal-title":"IEEE J Biomed Health Inform"},{"key":"1587_CR38","doi-asserted-by":"crossref","first-page":"190","DOI":"10.1016\/j.neucom.2014.05.044","volume":"145","author":"MZ Parvez","year":"2014","unstructured":"Parvez MZ, Paul M (2014) Epileptic seizure detection by analyzing EEG signals using different transformation techniques. Neurocomputing 145:190\u2013200","journal-title":"Neurocomputing"},{"issue":"2","key":"1587_CR39","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/0013-4694(93)90079-B","volume":"86","author":"H Qu","year":"1993","unstructured":"Qu H, Gotman J (1993) Improvement in seizure detection performance by automatic adaptation to the EEG of each patient. Electroencephalogr Clin Neurophysiol 86(2):79\u201387","journal-title":"Electroencephalogr Clin Neurophysiol"},{"key":"1587_CR40","doi-asserted-by":"crossref","first-page":"S61","DOI":"10.1016\/j.yebeh.2011.09.008","volume":"22","author":"S Raghunathan","year":"2011","unstructured":"Raghunathan S, Jaitli A, Irazoqui PP (2011) Multistage seizure detection techniques optimized for low-power hardware platforms. Epilepsy Behav 22:S61\u2013S68","journal-title":"Epilepsy Behav"},{"issue":"2","key":"1587_CR41","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1023\/A:1026543900054","volume":"40","author":"Y Rubner","year":"2000","unstructured":"Rubner Y, Tomasi C, Guibas LJ (2000) The earth mover\u2019s distance as a metric for image retrieval. Int J Comput Vis 40(2):99\u2013121","journal-title":"Int J Comput Vis"},{"issue":"4","key":"1587_CR42","doi-asserted-by":"crossref","first-page":"392","DOI":"10.1088\/1741-2560\/5\/4\/004","volume":"5","author":"DE Snyder","year":"2008","unstructured":"Snyder DE, Echauz J, Grimes DB, Litt B (2008) The statistics of a practical seizure warning system. J Neural Eng 5(4):392\u2013401","journal-title":"J Neural Eng"},{"key":"1587_CR43","unstructured":"Stadelmann T, Freisleben B (2006) Fast and robust speaker clustering using the earth mover\u2019s distance and Mixmax models. In: International Conference on Acoustics Speech, pp. I\u2013I"},{"issue":"4","key":"1587_CR44","doi-asserted-by":"crossref","first-page":"1084","DOI":"10.1016\/j.eswa.2006.02.005","volume":"32","author":"A Subasi","year":"2007","unstructured":"Subasi A (2007) EEG signal classification using wavelet feature extraction and a mixture of expert model. Expert Syst Appl 32(4):1084\u20131093","journal-title":"Expert Syst Appl"},{"issue":"3","key":"1587_CR45","doi-asserted-by":"crossref","first-page":"464","DOI":"10.1016\/j.clinph.2010.06.034","volume":"122","author":"A Temko","year":"2011","unstructured":"Temko A, Thomas E, Marnane W, Lightbody G, Boylan G (2011) EEG-based neonatal seizure detection with support vector machines. Clin Neurophysiol 122(3):464\u2013473","journal-title":"Clin Neurophysiol"},{"issue":"7","key":"1587_CR46","doi-asserted-by":"crossref","first-page":"1047","DOI":"10.1088\/0967-3334\/31\/7\/013","volume":"31","author":"EM Thomas","year":"2010","unstructured":"Thomas EM, Temko A, Lightbody G, Marnane WP, Boylan GB (2010) Gaussian mixture models for classification of neonatal seizures using EEG. Physiol Meas 31(7):1047\u20131064","journal-title":"Physiol Meas"},{"issue":"2","key":"1587_CR47","doi-asserted-by":"crossref","first-page":"985","DOI":"10.1016\/j.eswa.2009.05.078","volume":"37","author":"ED \u00dcbeyli","year":"2010","unstructured":"\u00dcbeyli ED (2010) Lyapunov exponents\/probabilistic neural networks for analysis of EEG signals. Expert Syst Appl 37(2):985\u2013992","journal-title":"Expert Syst Appl"},{"issue":"06","key":"1587_CR48","doi-asserted-by":"crossref","first-page":"1350028","DOI":"10.1142\/S0129065713500287","volume":"23","author":"Y Wang","year":"2013","unstructured":"Wang Y, Zhou W, Yuan Q, Li X, Meng Q, Zhao X, Wang J (2013) Comparison of ictal and interictal EEG signals using fractal features. Int J Neural Syst 23(06):1350028","journal-title":"Int J Neural Syst"},{"issue":"1\u20132","key":"1587_CR49","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1007\/s11517-012-0967-8","volume":"51","author":"S Xie","year":"2013","unstructured":"Xie S, Krishnan S (2013) Wavelet-based sparse functional linear model with applications to EEGs seizure detection and epilepsy diagnosis. Med Biol Eng Comput 51(1\u20132):49\u201360","journal-title":"Med Biol Eng Comput"},{"issue":"02","key":"1587_CR50","doi-asserted-by":"crossref","first-page":"1550003","DOI":"10.1142\/S0129065715500033","volume":"25","author":"S Yuan","year":"2015","unstructured":"Yuan S, Zhou W, Yuan Q, Li X, Wu Q, Zhao X, Wang J (2015) Kernel collaborative representation-based automatic seizure detection in intracranial EEG. Int J Neural Syst 25(02):1550003","journal-title":"Int J Neural Syst"},{"issue":"06","key":"1587_CR51","doi-asserted-by":"crossref","first-page":"1550020","DOI":"10.1142\/S0129065715500203","volume":"25","author":"Y Zhang","year":"2015","unstructured":"Zhang Y, Zhou W, Yuan S (2015) Multifractal analysis and relevance vector machine based automatic seizure detection in intracranial EEG. Int J Neural Syst 25(06):1550020","journal-title":"Int J Neural Syst"}],"container-title":["Medical & Biological Engineering & Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11517-016-1587-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-016-1587-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-016-1587-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,14]],"date-time":"2019-09-14T21:05:14Z","timestamp":1568495114000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11517-016-1587-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,10,20]]},"references-count":51,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2017,8]]}},"alternative-id":["1587"],"URL":"https:\/\/doi.org\/10.1007\/s11517-016-1587-5","relation":{},"ISSN":["0140-0118","1741-0444"],"issn-type":[{"value":"0140-0118","type":"print"},{"value":"1741-0444","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,10,20]]}}}