{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:57:29Z","timestamp":1760245049026,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030044909"},{"type":"electronic","value":"9783030044916"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[[2018]]},"DOI":"10.1007\/978-3-030-04491-6_10","type":"book-chapter","created":{"date-parts":[[2019,1,2]],"date-time":"2019-01-02T10:12:26Z","timestamp":1546423946000},"page":"123-135","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Classification of Motor Imagery EEG Signals with CSP Filtering Through Neural Networks Models"],"prefix":"10.1007","author":[{"given":"Carlos Daniel","family":"Virgilio Gonzalez","sequence":"first","affiliation":[]},{"given":"Juan Humberto","family":"Sossa Azuela","sequence":"additional","affiliation":[]},{"given":"Elsa","family":"Rubio Espino","sequence":"additional","affiliation":[]},{"given":"Victor H.","family":"Ponce Ponce","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,1,3]]},"reference":[{"issue":"5","key":"10_CR1","doi-asserted-by":"publisher","first-page":"1319","DOI":"10.1007\/s00521-012-1074-3","volume":"23","author":"A Ahangi","year":"2013","unstructured":"Ahangi, A., Karamnejad, M., Mohammadi, N., Ebrahimpour, R., Bagheri, N.: Multiple classifier system for EEG signal classification with application to brain-computer interfaces. Neural Comput. Appl. 23(5), 1319\u20131327 (2013). https:\/\/doi.org\/10.1007\/s00521-012-1074-3","journal-title":"Neural Comput. Appl."},{"key":"10_CR2","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.bspc.2018.03.010","volume":"44","author":"JM Antelis","year":"2018","unstructured":"Antelis, J.M., Gudi\u00f1o-Mendoza, B., Falc\u00f3n, L.E., Sanchez-Ante, G., Sossa, H.: Dendrite morphological neural networks for motor task recognition from electroencephalographic signals. Biomed. Signal Process. Control. 44, 12\u201324 (2018). https:\/\/doi.org\/10.1016\/j.bspc.2018.03.010","journal-title":"Biomed. Signal Process. Control."},{"issue":"6","key":"10_CR3","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, J.Q., Palaniappan, R.: 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 (2013). https:\/\/doi.org\/10.1016\/j.bspc.2013.07.004","journal-title":"Biomed. Signal Process. Control."},{"issue":"2","key":"10_CR4","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1109\/TNSRE.2003.814438","volume":"11","author":"JD Bayliss","year":"2003","unstructured":"Bayliss, J.D.: Use of the evoked potential P3 component for control in a virtual apartment. IEEE Trans. Neural Syst. Rehabil. Eng. 11(2), 113\u2013116 (2003). https:\/\/doi.org\/10.1109\/TNSRE.2003.814438","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"doi-asserted-by":"publisher","unstructured":"Belhadj, S.A., Benmoussat, N., Krachai, M.D.: CSP features extraction and FLDA classification of EEG-based motor imagery for brain-computer interaction. In: 2015 4th International Conference on Electrical Engineering, ICEE 2015, pp. 3\u20138 (2016). https:\/\/doi.org\/10.1109\/INTEE.2015.7416697","key":"10_CR5","DOI":"10.1109\/INTEE.2015.7416697"},{"doi-asserted-by":"publisher","unstructured":"Chin, Z.Y., Ang, K.K., Wang, C., Guan, C., Zhang, H.: Multi-class filter bank common spatial pattern for four-class motor imagery BCI. In: Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009, vol. 138632, pp. 571\u2013574 (2009). https:\/\/doi.org\/10.1109\/IEMBS.2009.5332383","key":"10_CR6","DOI":"10.1109\/IEMBS.2009.5332383"},{"issue":"2","key":"10_CR7","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1109\/86.847808","volume":"8","author":"E Donchin","year":"2000","unstructured":"Donchin, E., Spencer, K.M., Wijesinghe, R.: The mental prosthesis: assessing the speed of a P300-based brain- computer interface. IEEE Trans. Rehabil. Eng. 8(2), 174\u2013179 (2000). https:\/\/doi.org\/10.1109\/86.847808","journal-title":"IEEE Trans. Rehabil. Eng."},{"key":"10_CR8","doi-asserted-by":"publisher","first-page":"974","DOI":"10.4028\/www.scientific.net\/AMM.239-240.974","volume":"239","author":"RX Han","year":"2013","unstructured":"Han, R.X., Wei, Q.G.: Feature extraction by combining wavelet packet transform and common spatial pattern in brain-computer interfaces. Appl. Mech. Mater. 239, 974\u2013979 (2013). https:\/\/doi.org\/10.4028\/www.scientific.net\/AMM.239-240.974","journal-title":"Appl. Mech. Mater."},{"issue":"4","key":"10_CR9","doi-asserted-by":"publisher","first-page":"1100","DOI":"10.1109\/TBME.2012.2215960","volume":"60","author":"H Higashi","year":"2013","unstructured":"Higashi, H., Tanaka, T.: Simultaneous design of FIR filter banks and spatial patterns for EEG signal classification. IEEE Trans. Biomed. Eng. 60(4), 1100\u20131110 (2013). https:\/\/doi.org\/10.1109\/TBME.2012.2215960","journal-title":"IEEE Trans. Biomed. Eng."},{"doi-asserted-by":"publisher","unstructured":"Hosni, S.M., Gadallah, M.E., Bahgat, S.F., AbdelWahab, M.S.: Classification of EEG signals using different feature extraction techniques for mental-task BCI. In: 2007 International Conference on Computer Engineering Systems, pp. 220\u2013226 (2007). https:\/\/doi.org\/10.1109\/ICCES.2007.4447052, http:\/\/ieeexplore.ieee.org\/lpdocs\/epic03\/wrapper.htm?arnumber=4447052","key":"10_CR10","DOI":"10.1109\/ICCES.2007.4447052"},{"issue":"3","key":"10_CR11","doi-asserted-by":"publisher","first-page":"614","DOI":"10.1109\/TRO.2009.2020347","volume":"25","author":"I Iturrate","year":"2009","unstructured":"Iturrate, I., Antelis, J.M., Andrea, K., Minguez, J.: A noninvasive brain-actuated wheelchair based on a P300 neurophysiological protocol and automated navigation. IEEE Trans. Robot. 25(3), 614\u2013627 (2009)","journal-title":"IEEE Trans. Robot."},{"issue":"6","key":"10_CR12","doi-asserted-by":"publisher","first-page":"43","DOI":"10.3991\/ijoe.v11i6.5119","volume":"11","author":"J Katona","year":"2015","unstructured":"Katona, J., Kovari, A.: EEG-based computer control interface for brain-machine interaction. Int. J. Online Eng. 11(6), 43\u201348 (2015). https:\/\/doi.org\/10.3991\/ijoe.v11i6.5119","journal-title":"Int. J. Online Eng."},{"key":"10_CR13","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"495","DOI":"10.1007\/978-3-319-05582-4_43","volume-title":"Robot Intelligence Technology and Applications 2","author":"M Li","year":"2014","unstructured":"Li, M., Li, W., Zhao, J., Meng, Q., Zeng, M., Chen, G.: A P300 model for cerebot \u2013 a mind-controlled humanoid robot. In: Kim, J.-H., Matson, E.T., Myung, H., Xu, P., Karray, F. (eds.) Robot Intelligence Technology and Applications 2. AISC, vol. 274, pp. 495\u2013502. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-05582-4_43"},{"issue":"10 PART 1","key":"10_CR14","doi-asserted-by":"publisher","first-page":"2495","DOI":"10.1109\/TBME.2010.2055564","volume":"57","author":"Y Li","year":"2010","unstructured":"Li, Y., et al.: An EEG-based BCI system for 2-D cursor control by combining Mu\/Beta rhythm and P300 potential. IEEE Trans. Biomed. Eng. 57(10 PART 1), 2495\u20132505 (2010). https:\/\/doi.org\/10.1109\/TBME.2010.2055564","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"5","key":"10_CR15","doi-asserted-by":"publisher","first-page":"667","DOI":"10.1155\/2016\/4941235","volume":"2016","author":"Y Ma","year":"2016","unstructured":"Ma, Y., Ding, X., She, Q., Luo, Z., Potter, T., Zhang, Y.: Classification of motor imagery EEG signals with support vector machines and particle swarm optimization. Comput. Math. Methods Med. 2016(5), 667\u2013677 (2016). https:\/\/doi.org\/10.1155\/2016\/4941235","journal-title":"Comput. Math. Methods Med."},{"issue":"10","key":"10_CR16","doi-asserted-by":"publisher","first-page":"1265","DOI":"10.1007\/s00702-007-0763-z","volume":"114","author":"T Mulder","year":"2007","unstructured":"Mulder, T.: Motor imagery and action observation: cognitive tools for rehabilitation. J. Neural Transm. 114(10), 1265\u20131278 (2007). https:\/\/doi.org\/10.1007\/s00702-007-0763-z","journal-title":"J. Neural Transm."},{"issue":"5","key":"10_CR17","doi-asserted-by":"publisher","first-page":"787","DOI":"10.1016\/S1388-2457(98)00038-8","volume":"110","author":"J Muller-Gerking","year":"1999","unstructured":"Muller-Gerking, J., Pfurtscheller, G., Flyvbjerg, H., M\u00fcller-Gerking, J., Pfurtscheller, G., Flyvbjerg, H.: Designing optimal spatial fiters for single-trial EEG classification in a movement task. Clin. Neurophysiol. 110(5), 787\u2013798 (1999). https:\/\/doi.org\/10.1016\/S1388-2457(98)00038-8. http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1388245798000388","journal-title":"Clin. Neurophysiol."},{"doi-asserted-by":"publisher","unstructured":"Ritter, G.X., Sussner, P.: An introduction to morphological neural networks. In: Proceedings - International Conference on Pattern Recognition, vol. 4, pp. 709\u2013717 (1996). https:\/\/doi.org\/10.1109\/ICPR.1996.547657","key":"10_CR18","DOI":"10.1109\/ICPR.1996.547657"},{"key":"10_CR19","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1016\/j.neucom.2013.10.031","volume":"131","author":"H Sossa","year":"2014","unstructured":"Sossa, H., Guevara, E.: Efficient training for dendrite morphological neural networks. Neurocomputing 131, 132\u2013142 (2014). https:\/\/doi.org\/10.1016\/j.neucom.2013.10.031","journal-title":"Neurocomputing"},{"issue":"3","key":"10_CR20","doi-asserted-by":"publisher","first-page":"252","DOI":"10.1016\/0013-4694(91)90040-B","volume":"78","author":"Jonathan R. Wolpaw","year":"1991","unstructured":"Wolpaw, J.R., McFarland, D.J., Neat, G.W., Forneris, C.A.: An EEG-based brain-computer interface for cursor control. Electroencephalogr. Clin. Neurophysiol. 78(3), 252\u2013259 (1991). https:\/\/doi.org\/10.1016\/0013-4694(91)90040-B, http:\/\/www.sciencedirect.com\/science\/article\/pii\/001346949190040B","journal-title":"Electroencephalography and Clinical Neurophysiology"},{"issue":"14","key":"10_CR21","doi-asserted-by":"publisher","first-page":"5540","DOI":"10.1523\/JNEUROSCI.5791-10.2011.Brain","volume":"31","author":"F Zeidan","year":"2011","unstructured":"Zeidan, F., Martucci, K.T.: Brain mechanisms supporting modulation of pain by mindfulness meditation. J. Neurosci.: Off. J. Soc. Neurosci. 31(14), 5540\u20135548 (2011). https:\/\/doi.org\/10.1523\/JNEUROSCI.5791-10.2011.Brain","journal-title":"J. Neurosci.: Off. J. Soc. Neurosci."},{"key":"10_CR22","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., Jin, J., Wang, X., Cichocki, A.: Optimizing spatial patterns with sparse filter bands for motor-imagery based brain-computer interface. J. Neurosci. Methods 255, 85\u201391 (2015). https:\/\/doi.org\/10.1016\/j.jneumeth.2015.08.004","journal-title":"J. Neurosci. Methods"}],"container-title":["Lecture Notes in Computer Science","Advances in Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-04491-6_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T17:42:56Z","timestamp":1709833376000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-04491-6_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030044909","9783030044916"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-04491-6_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"3 January 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MICAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Mexican International Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guadalajara","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Mexico","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 October 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 October 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"micai2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.micai.org\/2018\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}