{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T17:22:23Z","timestamp":1725988943434},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319990095"},{"type":"electronic","value":"9783319990101"}],"license":[{"start":{"date-parts":[[2018,8,29]],"date-time":"2018-08-29T00:00:00Z","timestamp":1535500800000},"content-version":"unspecified","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\/978-3-319-99010-1_12","type":"book-chapter","created":{"date-parts":[[2018,8,29]],"date-time":"2018-08-29T14:59:57Z","timestamp":1535554797000},"page":"127-136","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Comparing Multi-class Approaches for Motor Imagery Using Renyi Entropy"],"prefix":"10.1007","author":[{"given":"Sahar","family":"Selim","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manal","family":"Tantawi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Howida","family":"Shedeed","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amr","family":"Badr","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,8,29]]},"reference":[{"issue":"1","key":"12_CR1","first-page":"1","volume":"13","author":"YK Kim","year":"2018","unstructured":"Kim, Y.K., Park, E., Lee, A., Im, C.-H., Kim, Y.-H.: Changes in network connectivity during motor imagery and execution. PLoS One 13(1), 1\u201318 (2018)","journal-title":"PLoS One"},{"key":"12_CR2","doi-asserted-by":"publisher","first-page":"39","DOI":"10.3389\/fnins.2012.00039","volume":"6","author":"KK Ang","year":"2012","unstructured":"Ang, K.K., Chin, Z.Y., Wang, C., Guan, C., Zhang, H.: Filter bank common spatial pattern algorithm on BCI competition IV datasets 2a and 2b. Front. Neurosci. 6, 39 (2012)","journal-title":"Front. Neurosci."},{"key":"12_CR3","first-page":"143","volume":"9","author":"Y Fang","year":"2012","unstructured":"Fang, Y., Chen, M., Zheng, X., Harrison, R.F.: Extending CSP to detect motor imagery in a four-class BCI. J. Inf. Comput. Sci. 9, 143\u2013151 (2012)","journal-title":"J. Inf. Comput. Sci."},{"issue":"10","key":"12_CR4","doi-asserted-by":"publisher","first-page":"1809","DOI":"10.1007\/s11517-017-1611-4","volume":"55","author":"E Dong","year":"2017","unstructured":"Dong, E., Li, C., Li, L., Du, S., Belkacem, A.N., Chen, C.: Classification of multi-class motor imagery with a novel hierarchical SVM algorithm for brain\u2013computer interfaces. Med. Biol. Eng. Comput. 55(10), 1809\u20131818 (2017)","journal-title":"Med. Biol. Eng. Comput."},{"key":"12_CR5","doi-asserted-by":"crossref","unstructured":"Brockmeier, A.J., Santanna, E., Giraldo, L.G.S., Principe, J.C.: Projentropy: using entropy to optimize spatial projections. In: IEEE International Conference on Acoustics, Speech and Signal Processing (2014)","DOI":"10.1109\/ICASSP.2014.6854461"},{"key":"12_CR6","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-016-2178-y","author":"C-Y Kee","year":"2016","unstructured":"Kee, C.-Y., Ponnambalam, S.G., Loo, C.-K.: Binary and multi-class motor imagery using Renyi entropy for feature extraction. Neural Comput. Appl. (2016). \nhttps:\/\/doi.org\/10.1007\/s00521-016-2178-y","journal-title":"Neural Comput. Appl."},{"key":"12_CR7","volume-title":"BCI Competition 2008\u2014Graz Data Set A","author":"C Brunner","year":"2008","unstructured":"Brunner, C., Leeb, R., M\u00fcller-Putz, G., Schl\u00f6gl, A., Pfurtscheller, G.: BCI Competition 2008\u2014Graz Data Set A. Graz University of Technology, Graz (2008)"},{"issue":"1","key":"12_CR8","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1002\/1097-0193(200009)11:1<46::AID-HBM40>3.0.CO;2-5","volume":"11","author":"SLG Andino","year":"2000","unstructured":"Andino, S.L.G., de Peralta Menendez, R.G., Thut, G., Spinelli, L., Blanke, O., Michel, C.M., Seeck, M., Landis, T.: Measuring the complexity of time series: an application to neurophysiological signals. Hum. Brain Mapp. 11(1), 46\u201357 (2000)","journal-title":"Hum. Brain Mapp."},{"issue":"3\u20134","key":"12_CR9","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1007\/BF02024393","volume":"6","author":"A R\u00e9nyi","year":"1955","unstructured":"R\u00e9nyi, A.: On a new axiomatic theory of probability. Acta Math. Acad. Sci. Hung. 6(3\u20134), 285\u2013335 (1955)","journal-title":"Acta Math. Acad. Sci. Hung."},{"issue":"2","key":"12_CR10","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1109\/TNSRE.2003.814441","volume":"11","author":"D Garrett","year":"2003","unstructured":"Garrett, D., Peterson, D.A., Anderson, C.W., Thaut, M.H.: Comparison of linear, nonlinear, and feature selection methods for EEG signal classification. IEEE Trans. Neural Syst. Rehabil. Eng. 11(2), 141\u2013144 (2003)","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"12_CR11","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1109\/TNSRE.2003.814484","volume":"11","author":"KR Muller","year":"2003","unstructured":"Muller, K.R., Anderson, C., Birch, G.: Linear and nonlinear methods for brain-computer interfaces. IEEE Trans. Neural Syst. Rehabil. Eng. 11, 165\u2013169 (2003)","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"issue":"2","key":"12_CR12","doi-asserted-by":"publisher","first-page":"R32","DOI":"10.1088\/1741-2560\/4\/2\/R03","volume":"4","author":"A Bashashati","year":"2007","unstructured":"Bashashati, A., Fatourechi, M., Ward, R.K., Birch, G.E.: A survey of signal processing algorithms in brain\u2013computer interfaces based on electrical brain signals. J. Neural Eng. 4(2), R32\u2013R57 (2007)","journal-title":"J. Neural Eng."},{"key":"12_CR13","volume-title":"Pattern Recognition and Machine Learning","author":"CM Bishop","year":"2006","unstructured":"Bishop, C.M.: Pattern Recognition and Machine Learning. Springer, Berlin (2006)"},{"issue":"1","key":"12_CR14","first-page":"451","volume":"26","author":"T Hastie","year":"1998","unstructured":"Hastie, T., Tibshirani, R.: Classification by pairwise coupling. Ann. Stat. 26(1), 451\u2013471 (1998)","journal-title":"Ann. Stat."},{"key":"12_CR15","doi-asserted-by":"publisher","DOI":"10.1155\/2007\/39714","author":"D Zhang","year":"2007","unstructured":"Zhang, D., Wang, Y., Gao, X., Hong, B., Gao, S.: An algorithm for idle-state detection in motor-imagery-based brain-computer interface. Comput. Intell. Neurosci. (2007). \nhttps:\/\/doi.org\/10.1155\/2007\/39714","journal-title":"Comput. Intell. Neurosci."},{"key":"12_CR16","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1007\/s100440200019","volume":"5","author":"S Kumar","year":"2002","unstructured":"Kumar, S., Ghosh, J., Crawford, M.M.: Hierarchical fusion of multiple classifiers for hyperspectral data analysis. Pattern Anal. Appl. 5, 210\u2013220 (2002)","journal-title":"Pattern Anal. Appl."},{"issue":"1","key":"12_CR17","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1177\/001316446002000104","volume":"20","author":"J Cohen","year":"1960","unstructured":"Cohen, J.: A coefficient of agreement for nominal scales. Educ. Psychol. Meas. 20(1), 37\u201346 (1960)","journal-title":"Educ. Psychol. Meas."}],"container-title":["Advances in Intelligent Systems and Computing","Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2018"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-99010-1_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,8,29]],"date-time":"2018-08-29T15:06:26Z","timestamp":1535555186000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-99010-1_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8,29]]},"ISBN":["9783319990095","9783319990101"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-99010-1_12","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2018,8,29]]}}}