{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T21:34:48Z","timestamp":1742938488139,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030370770"},{"type":"electronic","value":"9783030370787"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-37078-7_3","type":"book-chapter","created":{"date-parts":[[2019,12,5]],"date-time":"2019-12-05T00:15:28Z","timestamp":1575504928000},"page":"21-28","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Subject-Oriented Dynamic Characterization of Motor Imagery Tasks\u00a0Using Complexity Analysis"],"prefix":"10.1007","author":[{"given":"L. F.","family":"Velasquez-Martinez","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"F.","family":"Arteaga","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"G.","family":"Castellanos-Dominguez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,12,5]]},"reference":[{"key":"3_CR1","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1016\/j.neucom.2014.07.077","volume":"151","author":"A Alvarez-Meza","year":"2015","unstructured":"Alvarez-Meza, A., Velasquez-Martinez, L., et al.: Time-series discrimination using feature relevance analysis in motor imagery classification. Neurocomputing 151, 122\u2013129 (2015)","journal-title":"Neurocomputing"},{"key":"3_CR2","doi-asserted-by":"publisher","first-page":"39","DOI":"10.3389\/fnins.2012.00039","volume":"6","author":"K Ang","year":"2012","unstructured":"Ang, K., Chin, Z., et al.: Filter bank common spatial pattern algorithm on BCI competition IV datasets 2a and 2b. Front. Neurosci. 6, 39 (2012)","journal-title":"Front. Neurosci."},{"issue":"1","key":"3_CR3","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1109\/MSP.2008.4408441","volume":"25","author":"B Blankertz","year":"2007","unstructured":"Blankertz, B., Tomioka, R., et al.: Optimizing spatial filters for robust eeg single-trial analysis. IEEE Signal Process. Mag. 25(1), 41\u201356 (2007)","journal-title":"IEEE Signal Process. Mag."},{"key":"3_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"244","DOI":"10.1007\/978-3-030-19591-5_25","volume-title":"Understanding the Brain Function and Emotions","author":"J Caicedo-Acosta","year":"2019","unstructured":"Caicedo-Acosta, J., C\u00e1rdenas-Pe\u00f1a, D., Collazos-Huertas, D., Padilla-Buritica, J.I., Casta\u00f1o-Duque, G., Castellanos-Dominguez, G.: Multiple-instance lasso regularization via embedded instance selection for emotion recognition. In: Ferr\u00e1ndez Vicente, J.M., \u00c1lvarez-S\u00e1nchez, J.R., de la Paz L\u00f3pez, F., Toledo Moreo, J., Adeli, H. (eds.) IWINAC 2019. LNCS, vol. 11486, pp. 244\u2013251. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-19591-5_25"},{"issue":"12","key":"3_CR5","doi-asserted-by":"publisher","first-page":"1931","DOI":"10.1109\/TPAMI.2006.248","volume":"28","author":"Y Chen","year":"2006","unstructured":"Chen, Y., Bi, J., et al.: MILES: multiple-instance learning via embedded instance selection. IEEE Trans. Pattern Anal. Mach. Intell. 28(12), 1931\u20131947 (2006)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"doi-asserted-by":"crossref","unstructured":"Chu, C., Wang, J., et al.: Complexity analysis of EEG in AD patients with fractional permutation entropy. In: 2018 37th Chinese Control Conference, pp. 4346\u20134350 (2018)","key":"3_CR6","DOI":"10.23919\/ChiCC.2018.8482647"},{"unstructured":"Frau-Meigs, D.: Media Education. Parents and Professionals. Unesco, A Kit for Teachers, Students (2007)","key":"3_CR7"},{"issue":"8","key":"3_CR8","doi-asserted-by":"publisher","first-page":"1550037","DOI":"10.1142\/S0129065715500379","volume":"25","author":"W-Y Hsu","year":"2015","unstructured":"Hsu, W.-Y.: Assembling a multi-feature EEG classifier for left-right motor imagery data using wavelet-based fuzzy approximate entropy for improved accuracy. Int. J. Neural syst. 25(8), 1550037 (2015)","journal-title":"Int. J. Neural syst."},{"issue":"2","key":"3_CR9","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1109\/MCE.2018.2880828","volume":"8","author":"Y Liu","year":"2019","unstructured":"Liu, Y., Huang, S., et al.: Novel motor imagery-based brain switch for patients with amyotrophic lateral sclerosis: a case study using two-channel electroencephalography. IEEE Consum. Electron. Mag. 8(2), 72\u201377 (2019)","journal-title":"IEEE Consum. Electron. Mag."},{"issue":"9","key":"3_CR10","doi-asserted-by":"publisher","first-page":"1589","DOI":"10.1007\/s11517-017-1622-1","volume":"55","author":"M Miao","year":"2017","unstructured":"Miao, M., Wang, A., et al.: A spatial-frequency-temporal optimized feature sparse representation-based classification method for motor imagery EEG pattern recognition. Med. Biol. Eng. Comput. 55(9), 1589\u20131603 (2017)","journal-title":"Med. Biol. Eng. Comput."},{"doi-asserted-by":"crossref","unstructured":"Passalis, N., Tsantekidis, A., et al.: Time-series classification using neural Bag-of-Features. In: 2017 25th European Signal Processing Conference (EUSIPCO), pp. 301\u2013305 (2017)","key":"3_CR11","DOI":"10.23919\/EUSIPCO.2017.8081217"},{"issue":"5","key":"3_CR12","doi-asserted-by":"publisher","first-page":"056002","DOI":"10.1088\/1741-2560\/9\/5\/056002","volume":"9","author":"Y Shin","year":"2012","unstructured":"Shin, Y., Lee, S., et al.: Sparse representation-based classification scheme for motor imagery-based brain-computer interface systems. J. Neural Eng. 9(5), 056002 (2012)","journal-title":"J. Neural Eng."},{"issue":"1","key":"3_CR13","doi-asserted-by":"publisher","first-page":"77","DOI":"10.3390\/e20010077","volume":"20","author":"M Zanin","year":"2018","unstructured":"Zanin, M., G\u00f3mez-Andr\u00e9s, D., et al.: Characterizing normal and pathological gait through permutation entropy. Entropy 20(1), 77 (2018)","journal-title":"Entropy"},{"key":"3_CR14","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/j.jneumeth.2015.08.004","volume":"255","author":"Y Zhang","year":"2015","unstructured":"Zhang, Y., Zhou, G., et al.: Optimizing spatial patterns with sparse filter bands for motor-imagery based brain-computer interface. J. Neurosci. Methods 255, 85\u201391 (2015)","journal-title":"J. Neurosci. Methods"}],"container-title":["Lecture Notes in Computer Science","Brain Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-37078-7_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T18:57:38Z","timestamp":1710356258000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-37078-7_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030370770","9783030370787"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-37078-7_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"5 December 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Brain Informatics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Haikou","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 December 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 December 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"brain2019a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/wi-consortium.org\/conferences\/bi2019\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}