{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T17:00:25Z","timestamp":1781715625988,"version":"3.54.5"},"reference-count":42,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2023,2,16]],"date-time":"2023-02-16T00:00:00Z","timestamp":1676505600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,2,16]],"date-time":"2023-02-16T00:00:00Z","timestamp":1676505600000},"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":["Neural Process Lett"],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1007\/s11063-023-11185-5","type":"journal-article","created":{"date-parts":[[2023,2,16]],"date-time":"2023-02-16T18:02:46Z","timestamp":1676570566000},"page":"8927-8945","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Multi-class Motor Imagery Recognition of Single Joint in Upper Limb Based on Multi-domain Feature Fusion"],"prefix":"10.1007","volume":"55","author":[{"given":"Shan","family":"Guan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhen","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fuwang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jixian","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaogang","family":"Kang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bin","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,2,16]]},"reference":[{"issue":"3","key":"11185_CR1","doi-asserted-by":"publisher","first-page":"e0174161","DOI":"10.1371\/journal.pone.0174161","volume":"12","author":"M Tavakolan","year":"2017","unstructured":"Tavakolan M, Frehlick Z, Yong X et al (2017) Classifying three imaginary states of the same upper extremity using time-domain features. PLoS ONE 12(3):e0174161. https:\/\/doi.org\/10.1371\/journal.pone.0174161","journal-title":"PLoS ONE"},{"key":"11185_CR2","doi-asserted-by":"publisher","unstructured":"Hamedi M, Salleh S H, Noor AM, et al (2014) Neural network-based three-class motor imagery classification using time-domain features for BCI applications. In: 2014 IEEE Region 10 Symposium. IEEE. pp: 204\u2013207. https:\/\/doi.org\/10.1109\/tenconspring.2014.6863026","DOI":"10.1109\/tenconspring.2014.6863026"},{"issue":"10","key":"11185_CR3","doi-asserted-by":"publisher","first-page":"2153","DOI":"10.1109\/TNSRE.2020.3020975","volume":"28","author":"J Jin","year":"2020","unstructured":"Jin J, Liu C, Daly I et al (2020) Bispectrum-based channel selection for motor imagery based brain-computer interfacing. IEEE Trans Neural Syst Rehabil Eng 28(10):2153\u20132163. https:\/\/doi.org\/10.1109\/TNSRE.2020.3020975","journal-title":"IEEE Trans Neural Syst Rehabil Eng"},{"issue":"5","key":"11185_CR4","doi-asserted-by":"publisher","first-page":"425","DOI":"10.1109\/TNSRE.2008.2003384","volume":"16","author":"H Yuan","year":"2008","unstructured":"Yuan H, Doud A, Gururajan A, He B (2008) Cortical imaging of event-related (de) synchronization during online control of brain-computer interface using minimum-norm estimates in frequency domain. IEEE Trans Neural Syst Rehabil Eng 16(5):425\u2013431. https:\/\/doi.org\/10.1109\/TNSRE.2008.2003384","journal-title":"IEEE Trans Neural Syst Rehabil Eng"},{"key":"11185_CR5","doi-asserted-by":"publisher","first-page":"174465","DOI":"10.1109\/ACCESS.2019.2953972","volume":"7","author":"L Cheng","year":"2019","unstructured":"Cheng L, Li D, Li X, Yu S (2019) The optimal wavelet basis function selection in feature extraction of motor imagery electroencephalogram based on wavelet packet transformation. IEEE Access 7:174465\u2013174481. https:\/\/doi.org\/10.1109\/ACCESS.2019.2953972","journal-title":"IEEE Access"},{"issue":"10","key":"11185_CR6","doi-asserted-by":"publisher","first-page":"2282","DOI":"10.3390\/s17102282","volume":"17","author":"D Lee","year":"2017","unstructured":"Lee D, Park SH, Lee SG (2017) Improving the accuracy and training speed of motor imagery brain\u2013computer interfaces using wavelet-based combined feature vectors and Gaussian mixture model-supervectors. Sensors 17(10):2282. https:\/\/doi.org\/10.3390\/s17102282","journal-title":"Sensors"},{"issue":"12","key":"11185_CR7","doi-asserted-by":"publisher","first-page":"2589","DOI":"10.1109\/TNSRE.2020.3040984","volume":"28","author":"Y Jiao","year":"2020","unstructured":"Jiao Y, Zhou T, Yao L et al (2020) Multi-view multi-scale optimization of feature representation for EEG classification improvement. IEEE Trans Neural Syst Rehabil Eng 28(12):2589\u20132597. https:\/\/doi.org\/10.1109\/TNSRE.2020.3040984","journal-title":"IEEE Trans Neural Syst Rehabil Eng"},{"key":"11185_CR8","doi-asserted-by":"publisher","first-page":"101991","DOI":"10.1016\/j.bspc.2020.101991","volume":"60","author":"E Dong","year":"2020","unstructured":"Dong E, Zhou K, Tong J et al (2020) A novel hybrid kernel function relevance vector machine for multi-task motor imagery EEG classification. Biomed Signal Process Control 60:101991. https:\/\/doi.org\/10.1016\/j.bspc.2020.101991","journal-title":"Biomed Signal Process Control"},{"key":"11185_CR9","doi-asserted-by":"publisher","first-page":"102160","DOI":"10.1016\/j.bspc.2020.102160","volume":"62","author":"C Xu","year":"2020","unstructured":"Xu C, Sun C, Jiang G et al (2020) Two-level multi-domain feature extraction on sparse representation for motor imagery classification. Biomed Signal Process Control 62:102160. https:\/\/doi.org\/10.1016\/j.bspc.2020.102160","journal-title":"Biomed Signal Process Control"},{"key":"11185_CR10","doi-asserted-by":"publisher","first-page":"190","DOI":"10.1016\/j.ins.2019.06.008","volume":"502","author":"SB Lee","year":"2019","unstructured":"Lee SB, Kim HJ, Kim H et al (2019) Comparative analysis of features extracted from EEG spatial, spectral and temporal domains for binary and multiclass motor imagery classification. Inform Sci 502:190\u2013200. https:\/\/doi.org\/10.1016\/j.ins.2019.06.008","journal-title":"Inform Sci"},{"key":"11185_CR11","doi-asserted-by":"publisher","unstructured":"Tan C, Sun F, Zhang W, et al (2017) Spatial and spectral features fusion for EEG classification during motor imagery in BCI. In: 2017 IEEE EMBS international conference on biomedical and health informatics (BHI). IEEE pp: 309\u2013312. https:\/\/doi.org\/10.1109\/bhi.2017.7897267","DOI":"10.1109\/bhi.2017.7897267"},{"key":"11185_CR12","doi-asserted-by":"publisher","first-page":"100597","DOI":"10.1016\/j.swevo.2019.100597","volume":"52","author":"P Tan","year":"2020","unstructured":"Tan P, Wang X, Wang Y (2020) Dimensionality reduction in evolutionary algorithms-based feature selection for motor imagery brain-computer interface given. Swarm Evol Comput 52:100597. https:\/\/doi.org\/10.1016\/j.swevo.2019.100597","journal-title":"Swarm Evol Comput"},{"key":"11185_CR13","doi-asserted-by":"publisher","first-page":"12134","DOI":"10.1109\/ACCESS.2021.3051281","volume":"9","author":"M Khateeb","year":"2021","unstructured":"Khateeb M, Anwar SM, Alnowami M (2021) Multi-domain feature fusion for emotion classification using DEAP dataset. IEEE Access 9:12134\u201312142. https:\/\/doi.org\/10.1109\/ACCESS.2021.3051281","journal-title":"IEEE Access"},{"key":"11185_CR14","doi-asserted-by":"publisher","first-page":"134727","DOI":"10.1016\/j.neulet.2019.134727","volume":"718","author":"R-R Lu","year":"2020","unstructured":"Lu R-R, Zheng M-X et al (2020) Motor imagery based brain-computer interface control of continuous passive motion for wrist extension recovery in chronic stroke patients. Neurosci Lett 718:134727. https:\/\/doi.org\/10.1016\/j.neulet.2019.134727","journal-title":"Neurosci Lett"},{"key":"11185_CR15","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1016\/j.neulet.2018.12.045","volume":"698","author":"A Ra","year":"2019","unstructured":"Ra A, Ha B, Mid A (2019) EEG-based BCI system for decoding finger movements within the same hand. Neurosci Lett 698:113\u2013120. https:\/\/doi.org\/10.1016\/j.neulet.2018.12.045","journal-title":"Neurosci Lett"},{"issue":"1","key":"11185_CR16","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/TBME.2015.2467312","volume":"63","author":"BJ Edelman","year":"2015","unstructured":"Edelman BJ, Baxter B, He B (2015) EEG source imaging enhances the decoding of complex right hand motor imagery tasks. IEEE Trans Biomed Eng 63(1):4\u201314. https:\/\/doi.org\/10.1109\/TBME.2015.2467312","journal-title":"IEEE Trans Biomed Eng"},{"key":"11185_CR17","doi-asserted-by":"publisher","first-page":"102069","DOI":"10.1016\/j.bspc.2020.102069","volume":"62","author":"Y You","year":"2020","unstructured":"You Y, Chen W, Zhang T (2020) Motor imagery EEG classification based on flexible analytic wavelet transform. Biomed Signal Process Control 62:102069. https:\/\/doi.org\/10.1016\/j.bspc.2020.102069","journal-title":"Biomed Signal Process Control"},{"key":"11185_CR18","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1016\/j.bspc.2019.01.008","volume":"50","author":"MM Togha","year":"2019","unstructured":"Togha MM, Salehi MR, Abiri E (2019) Improving the performance of the motor imagery-based brain-computer interfaces using local activities estimation. Biomed Signal Process Control 50:52\u201361. https:\/\/doi.org\/10.1016\/j.bspc.2019.01.008","journal-title":"Biomed Signal Process Control"},{"key":"11185_CR19","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1016\/j.eswa.2016.08.044","volume":"65","author":"A Atyabi","year":"2016","unstructured":"Atyabi A, Shic F, Naples A (2016) Mixture of autoregressive modeling orders and its implication on single trial EEG classification. Exp Syst Appl 65:164\u2013180. https:\/\/doi.org\/10.1016\/j.eswa.2016.08.044","journal-title":"Exp Syst Appl"},{"key":"11185_CR20","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1016\/j.neucom.2015.04.128","volume":"195","author":"Y Li","year":"2016","unstructured":"Li Y, Liu Q, Tan SR et al (2016) High-resolution time-frequency analysis of EEG signals using multiscale radial basis functions. Neurocomputing 195:96\u2013103. https:\/\/doi.org\/10.1016\/j.neucom.2015.04.128","journal-title":"Neurocomputing"},{"key":"11185_CR21","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1016\/j.patrec.2015.07.034","volume":"82","author":"M Abo-Zahhad","year":"2016","unstructured":"Abo-Zahhad M, Ahmed SM, Abbas SN (2016) A new multi-level approach to EEG based human authentication using eye blinking. Pattern Recogn Lett 82:216\u2013225. https:\/\/doi.org\/10.1016\/j.patrec.2015.07.034","journal-title":"Pattern Recogn Lett"},{"issue":"7","key":"11185_CR22","doi-asserted-by":"publisher","first-page":"869","DOI":"10.1109\/PROC.1987.13824","volume":"75","author":"CL Nikias","year":"1987","unstructured":"Nikias CL, Raghuveer MR (1987) Bispectrum estimation: a digital signal processing framework. Proc IEEE 75(7):869\u2013891. https:\/\/doi.org\/10.1109\/PROC.1987.13824","journal-title":"Proc IEEE"},{"issue":"3","key":"11185_CR23","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1109\/TSP.2013.2288675","volume":"62","author":"K Dragomiretskiy","year":"2014","unstructured":"Dragomiretskiy K, Zosso D (2014) Variational Mode Decomposition. IEEE Trans Signal Process 62(3):531\u2013544","journal-title":"IEEE Trans Signal Process"},{"key":"11185_CR24","doi-asserted-by":"publisher","first-page":"101787","DOI":"10.1016\/j.bspc.2019.101787","volume":"57","author":"SK Rout","year":"2020","unstructured":"Rout SK, Biswal PK (2020) An efficient error-minimized random vector functional link network for epileptic seizure classification using VMD. Biomed Signal Process Control 57:101787. https:\/\/doi.org\/10.1016\/j.bspc.2019.101787","journal-title":"Biomed Signal Process Control"},{"issue":"4","key":"11185_CR25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/lsens.2018.2872415","volume":"2","author":"S Taran","year":"2018","unstructured":"Taran S, Bajaj V (2018) Clustering variational mode decomposition for identification of focal EEG signals. IEEE Sensors Lett 2(4):1\u20134. https:\/\/doi.org\/10.1109\/lsens.2018.2872415","journal-title":"IEEE Sensors Lett"},{"issue":"2","key":"11185_CR26","doi-asserted-by":"publisher","first-page":"2035","DOI":"10.1109\/JSEN.2020.3020915","volume":"21","author":"SK Khare","year":"2021","unstructured":"Khare SK, Bajaj V (2021) An evolutionary optimized variational mode decomposition for emotion recognition. IEEE Sens J 21(2):2035\u20132042. https:\/\/doi.org\/10.1109\/JSEN.2020.3020915","journal-title":"IEEE Sens J"},{"issue":"2","key":"11185_CR27","doi-asserted-by":"publisher","first-page":"025014","DOI":"10.1088\/1741-2560\/8\/2\/025014","volume":"8","author":"S Shahid","year":"2011","unstructured":"Shahid S, Prasad G (2011) Bispectrum-based feature extraction technique for devising a practical brain-computer interface. J Neural Eng 8(2):025014. https:\/\/doi.org\/10.1088\/1741-2560\/8\/2\/025014","journal-title":"J Neural Eng"},{"issue":"6","key":"11185_CR28","doi-asserted-by":"publisher","first-page":"772","DOI":"10.1016\/j.bspc.2013.07.004","volume":"8","author":"J Asensio-Cubero","year":"2013","unstructured":"Asensio-Cubero J, Gan JQ, Palaniappan R (2013) Extracting optimal tempo-spatial features using local discriminant bases and common spatial patterns for brain computer interfacing. Biomed Signal Process Control 8(6):772\u2013778. https:\/\/doi.org\/10.1016\/j.bspc.2013.07.004","journal-title":"Biomed Signal Process Control"},{"issue":"1\u20133","key":"11185_CR29","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/0169-7439(87)80084-9","volume":"2","author":"S Wold","year":"1987","unstructured":"Wold S, Esbensen K, Geladi P (1987) Principal component analysis. Chemom Intell Lab Syst 2(1\u20133):37\u201352","journal-title":"Chemom Intell Lab Syst"},{"issue":"1\u20132","key":"11185_CR30","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1016\/s0925-2312(03)00433-8","volume":"55","author":"LJ Cao","year":"2003","unstructured":"Cao LJ, Chua KS, Chong WK et al (2003) A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine. Neurocomputing 55(1\u20132):321\u2013336. https:\/\/doi.org\/10.1016\/s0925-2312(03)00433-8","journal-title":"Neurocomputing"},{"key":"11185_CR31","doi-asserted-by":"publisher","first-page":"106536","DOI":"10.1016\/j.knosys.2020.106536","volume":"211","author":"A Jm","year":"2021","unstructured":"Jm A, Ly B, Qs C (2021) Adaptive robust learning framework for twin support vector machine classification: ScienceDirect. Knowledge-Based Syst 211:106536. https:\/\/doi.org\/10.1016\/j.knosys.2020.106536","journal-title":"Knowledge-Based Syst"},{"key":"11185_CR32","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1016\/j.knosys.2015.02.009","volume":"81","author":"D Tomar","year":"2015","unstructured":"Tomar D (2015) Agarwal S (2015) A comparison on multi-class classification methods based on least squares twin support vector machine. Knowledge-Based Syst 81:131\u2013147. https:\/\/doi.org\/10.1016\/j.knosys.2015.02.009","journal-title":"Knowledge-Based Syst"},{"issue":"2","key":"11185_CR33","doi-asserted-by":"publisher","first-page":"674","DOI":"10.1007\/s00034-019-01197-9","volume":"39","author":"NS Kumar","year":"2020","unstructured":"Kumar NS, Mahil J, Shiji AS et al (2020) Detection of autism in children by the EEG behavior using hybrid bat algorithm-based ANFIS classifier. Circuits Syst Signal Process 39(2):674\u2013697. https:\/\/doi.org\/10.1007\/s00034-019-01197-9","journal-title":"Circuits Syst Signal Process"},{"key":"11185_CR34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-48308-5_53","author":"S Selim","year":"2016","unstructured":"Selim S, Tantawi M, Shedeed H, Badr A (2016) Reducing execution time for real-time motor imagery based BCI systems. Int Conf Adv Intell Syst Inform. https:\/\/doi.org\/10.1007\/978-3-319-48308-5_53","journal-title":"Int Conf Adv Intell Syst Inform"},{"key":"11185_CR35","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/9812019","author":"Q Xiong","year":"2020","unstructured":"Xiong Q, Zhang X, Wang WF, Gu Y (2020) A parallel algorithm framework for feature extraction of EEG Signals on MPI. Comput Math Methods Med. https:\/\/doi.org\/10.1155\/2020\/9812019","journal-title":"Comput Math Methods Med"},{"key":"11185_CR36","doi-asserted-by":"publisher","first-page":"550","DOI":"10.1016\/j.bspc.2016.10.001","volume":"31","author":"Z Tao","year":"2017","unstructured":"Tao Z, Chen W, Li M (2017) AR based quadratic feature extraction in the VMD domain for the automated seizure detection of EEG using random forest classifier. Biomed Signal Process Control 31:550\u2013559. https:\/\/doi.org\/10.1016\/j.bspc.2016.10.001","journal-title":"Biomed Signal Process Control"},{"issue":"9","key":"11185_CR37","doi-asserted-by":"publisher","first-page":"1959030","DOI":"10.1142\/S0218001419590304","volume":"33","author":"L Wu","year":"2019","unstructured":"Wu L, Wang T, Wang Q et al (2019) EEG signal processing based on multivariate empirical mode decomposition and common spatial pattern hybrid algorithm. Int J Pattern Recognit Artif Intell 33(9):1959030. https:\/\/doi.org\/10.1142\/S0218001419590304","journal-title":"Int J Pattern Recognit Artif Intell"},{"key":"11185_CR38","doi-asserted-by":"crossref","unstructured":"Kotoky N, Hazarika SM (2014) Bispectrum analysis of EEG for motor imagery classification. In: International conference on signal processing and integrated networks. IEEE. pp: 581\u2013586","DOI":"10.1109\/SPIN.2014.6777021"},{"issue":"2","key":"11185_CR39","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 et al (2006) Te BCIcompetition III: validating alternative approaches to actual BCI problems. IEEE Trans Neural Syst Rehabil Eng 14(2):153\u2013159. https:\/\/doi.org\/10.1109\/TNSRE.2006.875642","journal-title":"IEEE Trans Neural Syst Rehabil Eng"},{"issue":"8","key":"11185_CR40","doi-asserted-by":"publisher","first-page":"1991","DOI":"10.1109\/TBME.2008.921154","volume":"55","author":"M Grosse Wentrup","year":"2008","unstructured":"Grosse Wentrup M, Buss M (2008) Multiclass common spatial patterns and information theoreticfeature extraction. IEEE Trans Biomed Eng 55(8):1991\u20132000. https:\/\/doi.org\/10.1109\/TBME.2008.921154","journal-title":"IEEE Trans Biomed Eng"},{"issue":"4","key":"11185_CR41","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1088\/1741-2560\/2\/4\/L02","volume":"2","author":"A Schl\u00f6gl","year":"2005","unstructured":"Schl\u00f6gl A, Lee F, Bischof H et al (2005) Characterization of four-class motor imagery EEG data for the BCI-competition 2005. J Neural Eng 2(4):1\u20139. https:\/\/doi.org\/10.1088\/1741-2560\/2\/4\/L02","journal-title":"J Neural Eng"},{"key":"11185_CR42","doi-asserted-by":"publisher","unstructured":"Koprinska I (2009) Feature selection for brain-computer interfaces[C]. In: Pacific-Asia conferenceon knowledge discovery and data mining. Springer, Berlin, Heidelberg. 106\u2013117. https:\/\/doi.org\/10.1007\/978-3-642-14640-4_8","DOI":"10.1007\/978-3-642-14640-4_8"}],"container-title":["Neural Processing Letters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-023-11185-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11063-023-11185-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-023-11185-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,11]],"date-time":"2023-11-11T17:05:23Z","timestamp":1699722323000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11063-023-11185-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2,16]]},"references-count":42,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2023,12]]}},"alternative-id":["11185"],"URL":"https:\/\/doi.org\/10.1007\/s11063-023-11185-5","relation":{},"ISSN":["1370-4621","1573-773X"],"issn-type":[{"value":"1370-4621","type":"print"},{"value":"1573-773X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,2,16]]},"assertion":[{"value":"6 February 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 February 2023","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}