{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T19:46:23Z","timestamp":1742931983071,"version":"3.40.3"},"publisher-location":"Cham","reference-count":42,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031216855"},{"type":"electronic","value":"9783031216862"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-21686-2_10","type":"book-chapter","created":{"date-parts":[[2022,11,18]],"date-time":"2022-11-18T08:30:15Z","timestamp":1668760215000},"page":"135-149","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Feature Extraction for\u00a0a\u00a0Genetic Programming-Based Brain-Computer Interface"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5931-654X","authenticated-orcid":false,"given":"Gabriel Henrique","family":"de Souza","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1008-5709","authenticated-orcid":false,"given":"Gabriel Oliveira","family":"Faria","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5865-4830","authenticated-orcid":false,"given":"Luciana Paix\u00e3o","family":"Motta","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2012-7802","authenticated-orcid":false,"given":"Heder Soares","family":"Bernardino","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0821-126X","authenticated-orcid":false,"given":"Alex Borges","family":"Vieira","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,11,19]]},"reference":[{"key":"10_CR1","doi-asserted-by":"crossref","unstructured":"Abdallah, N., Khawandi, S., Daya, B., Chauvet, P.: A survey of methods for the construction of a brain computer interface. In: 2017 Sensors Networks Smart and Emerging Technologies (SENSET), pp. 1\u20134. IEEE (2017)","DOI":"10.1109\/SENSET.2017.8125005"},{"key":"10_CR2","doi-asserted-by":"crossref","unstructured":"Alamdari, N., Haider, A., Arefin, R., Verma, A.K., Tavakolian, K., Fazel-Rezai, R.: A review of methods and applications of brain computer interface systems. In: 2016 IEEE International Conference on Electro Information Technology (EIT), pp. 0345\u20130350. IEEE (2016)","DOI":"10.1109\/EIT.2016.7535263"},{"key":"10_CR3","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."},{"issue":"2","key":"10_CR4","doi-asserted-by":"publisher","first-page":"139","DOI":"10.5626\/JCSE.2013.7.2.139","volume":"7","author":"KK Ang","year":"2013","unstructured":"Ang, K.K., Guan, C.: Brain-computer interface in stroke rehabilitation. J. Comput. Sci. Eng. 7(2), 139\u2013146 (2013)","journal-title":"J. Comput. Sci. Eng."},{"issue":"2","key":"10_CR5","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-computer interfaces based on electrical brain signals. J. Neural Eng. 4(2), R32 (2007)","journal-title":"J. Neural Eng."},{"key":"10_CR6","doi-asserted-by":"publisher","first-page":"101702","DOI":"10.1016\/j.bspc.2019.101702","volume":"57","author":"P Boonyakitanont","year":"2020","unstructured":"Boonyakitanont, P., Lek-Uthai, A., Chomtho, K., Songsiri, J.: A review of feature extraction and performance evaluation in epileptic seizure detection using EEG. Biomed. Signal Process. Control 57, 101702 (2020)","journal-title":"Biomed. Signal Process. Control"},{"key":"10_CR7","doi-asserted-by":"crossref","unstructured":"Broyden, C.G.: The convergence of a class of double-rank minimization algorithms 1. general considerations. IMA J. Appl. Math. 6(1), 76\u201390 (1970)","DOI":"10.1093\/imamat\/6.1.76"},{"key":"10_CR8","unstructured":"Eslahi, S.V., Dabanloo, N.J., Maghooli, K.: A GA-based feature selection of the EEG signals by classification evaluation: application in BCI systems. arXiv preprint arXiv:1903.02081 (2019)"},{"key":"10_CR9","doi-asserted-by":"crossref","unstructured":"Fadzal, C., Mansor, W., Khuan, L.: Review of brain computer interface application in diagnosing dyslexia. In: 2011 IEEE Control and System Graduate Research Colloquium, pp. 124\u2013128. IEEE (2011)","DOI":"10.1109\/ICSGRC.2011.5991843"},{"issue":"10","key":"10_CR10","doi-asserted-by":"publisher","first-page":"795","DOI":"10.1016\/S1474-4422(21)00252-0","volume":"20","author":"VL Feigin","year":"2021","unstructured":"Feigin, V.L., et al.: Global, regional, and national burden of stroke and its risk factors, 1990\u20132019: a systematic analysis for the global burden of disease study 2019. Lancet Neurol. 20(10), 795\u2013820 (2021)","journal-title":"Lancet Neurol."},{"key":"10_CR11","doi-asserted-by":"crossref","unstructured":"Frey, J.: Comparison of an open-hardware electroencephalography amplifier with medical grade device in brain-computer interface applications. arXiv preprint arXiv:1606.02438 (2016)","DOI":"10.5220\/0005954501050114"},{"key":"10_CR12","volume-title":"Introduction to Statistical Pattern Recognition","author":"K Fukunaga","year":"1990","unstructured":"Fukunaga, K.: Introduction to Statistical Pattern Recognition. Academic Press, San Diego (1990)"},{"key":"10_CR13","doi-asserted-by":"publisher","first-page":"267","DOI":"10.3389\/fnins.2013.00267","volume":"7","author":"A Gramfort","year":"2013","unstructured":"Gramfort, A., et al.: MEG and EEG data analysis with MNE-python. Front. Neurosci. 7, 267 (2013)","journal-title":"Front. Neurosci."},{"issue":"5","key":"10_CR14","doi-asserted-by":"publisher","first-page":"3080","DOI":"10.1109\/TSMC.2019.2917599","volume":"51","author":"A Gupta","year":"2019","unstructured":"Gupta, A., et al.: On the utility of power spectral techniques with feature selection techniques for effective mental task classification in noninvasive BCI. IEEE Trans. Syst. Man Cybern. Syst. 51(5), 3080\u20133092 (2019)","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"issue":"6","key":"10_CR15","doi-asserted-by":"publisher","first-page":"066011","DOI":"10.1088\/1741-2552\/aadea0","volume":"15","author":"V Jayaram","year":"2018","unstructured":"Jayaram, V., Barachant, A.: MOABB: trustworthy algorithm benchmarking for BCIs. J. Neural Eng. 15(6), 066011 (2018)","journal-title":"J. Neural Eng."},{"key":"10_CR16","doi-asserted-by":"crossref","unstructured":"Jeong, J.H., Lee, D.H., Ahn, H.J., Lee, S.W.: Towards brain-computer interfaces for drone swarm control. In: 2020 8th International Winter Conference on Brain-Computer Interface (BCI), pp. 1\u20134. IEEE (2020)","DOI":"10.1109\/BCI48061.2020.9061646"},{"key":"10_CR17","unstructured":"Kaiser, J.F.: On a simple algorithm to calculate the \u2018energy\u2019 of a signal. In: International Conference on Acoustics, Speech, and Signal Processing, pp. 381\u2013384. IEEE (1990)"},{"key":"10_CR18","volume-title":"Genetic Programming: On the Programming of Computers by Means of Natural Selection","author":"JR Koza","year":"1992","unstructured":"Koza, J.R.: Genetic Programming: On the Programming of Computers by Means of Natural Selection. The MIT Press, Cambridge (1992)"},{"issue":"4","key":"10_CR19","doi-asserted-by":"publisher","first-page":"473","DOI":"10.1109\/TNSRE.2007.906956","volume":"15","author":"R Leeb","year":"2007","unstructured":"Leeb, R., Lee, F., Keinrath, C., Scherer, R., Bischof, H., Pfurtscheller, G.: Brain-computer communication: motivation, aim, and impact of exploring a virtual apartment. IEEE Trans. Neural Syst. Rehabil. Eng. 15(4), 473\u2013482 (2007)","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"issue":"4","key":"10_CR20","doi-asserted-by":"publisher","first-page":"473","DOI":"10.1109\/TNSRE.2007.906956","volume":"15","author":"R Leeb","year":"2007","unstructured":"Leeb, R., Lee, F., Keinrath, C., Scherer, R., Bischof, H., Pfurtscheller, G.: Brain-computer communication: motivation, aim, and impact of exploring a virtual apartment. IEEE Trans. Neural Syst. Rehabil. Eng. 15(4), 473\u2013482 (2007)","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"issue":"11","key":"10_CR21","doi-asserted-by":"publisher","first-page":"3028","DOI":"10.3390\/s20113028","volume":"20","author":"Z Li","year":"2020","unstructured":"Li, Z., et al.: Enhancing BCI-based emotion recognition using an improved particle swarm optimization for feature selection. Sensors 20(11), 3028 (2020)","journal-title":"Sensors"},{"key":"10_CR22","doi-asserted-by":"publisher","first-page":"101994","DOI":"10.1016\/j.bspc.2020.101994","volume":"61","author":"M Miao","year":"2020","unstructured":"Miao, M., Zhang, W., Hu, W., Wang, R.: An adaptive multi-domain feature joint optimization framework based on composite kernels and ant colony optimization for motor imagery EEG classification. Biomed. Signal Process. Control 61, 101994 (2020)","journal-title":"Biomed. Signal Process. Control"},{"key":"10_CR23","unstructured":"Nakanishi, I., Ozaki, K., Li, S.: Evaluation of the brain wave as biometrics in a simulated driving environment. In: 2012 BIOSIG-Proceedings of the International Conference of Biometrics Special Interest Group (BIOSIG), pp. 1\u20135. IEEE (2012)"},{"key":"10_CR24","unstructured":"Pawar, D., Dhage, S.: Feature extraction methods for electroencephalography based brain-computer interface: a review. IAENG Int. J. Comput. Sci. 47(3) (2020)"},{"issue":"1","key":"10_CR25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41398-018-0213-8","volume":"8","author":"X Qian","year":"2018","unstructured":"Qian, X., et al.: Brain-computer-interface-based intervention re-normalizes brain functional network topology in children with attention deficit\/hyperactivity disorder. Transl. Psychiatry 8(1), 1\u201311 (2018)","journal-title":"Transl. Psychiatry"},{"issue":"2","key":"10_CR26","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/ab6a67","volume":"17","author":"A Ravi","year":"2020","unstructured":"Ravi, A., Beni, N.H., Manuel, J., Jiang, N.: Comparing user-dependent and user-independent training of CNN for SSVEP BCI. J. Neural Eng. 17(2), 026028 (2020)","journal-title":"J. Neural Eng."},{"issue":"25","key":"10_CR27","doi-asserted-by":"publisher","first-page":"1367","DOI":"10.1049\/el.2020.2509","volume":"56","author":"MT Sadiq","year":"2020","unstructured":"Sadiq, M.T., Yu, X., Yuan, Z., Aziz, M.Z.: Motor imagery BCI classification based on novel two-dimensional modelling in empirical wavelet transform. Electron. Lett. 56(25), 1367\u20131369 (2020)","journal-title":"Electron. Lett."},{"key":"10_CR28","doi-asserted-by":"crossref","unstructured":"Selim, S., Tantawi, M.M., Shedeed, H.A., Badr, A.: A CSP$$\\backslash $$-BA-SVM approach for motor imagery BCI system. IEEE Access 6, 49192\u201349208 (2018)","DOI":"10.1109\/ACCESS.2018.2868178"},{"issue":"5","key":"10_CR29","doi-asserted-by":"publisher","first-page":"663","DOI":"10.1007\/s40846-020-00538-3","volume":"40","author":"N Shajil","year":"2020","unstructured":"Shajil, N., Mohan, S., Srinivasan, P., Arivudaiyanambi, J., Murrugesan, A.A.: Multiclass classification of spatially filtered motor imagery EEG signals using convolutional neural network for BCI based applications. J. Med. Biol. Eng. 40(5), 663\u2013672 (2020)","journal-title":"J. Med. Biol. Eng."},{"issue":"1","key":"10_CR30","first-page":"2855","volume":"4","author":"M Sharanreddy","year":"2013","unstructured":"Sharanreddy, M., Kulkarni, P.: Detection of primary brain tumor present in EEG signal using wavelet transform and neural network. Int. J. Biol. Med. Res. 4(1), 2855\u20139 (2013)","journal-title":"Int. J. Biol. Med. Res."},{"issue":"4","key":"10_CR31","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1177\/155005941104200410","volume":"42","author":"S Silvoni","year":"2011","unstructured":"Silvoni, S., et al.: Brain-computer interface in stroke: a review of progress. Clin. EEG Neurosci. 42(4), 245\u2013252 (2011)","journal-title":"Clin. EEG Neurosci."},{"key":"10_CR32","unstructured":"Solomon, O.M., Jr.: PSD computations using Welch\u2019s method. NASA STI\/Recon Technical Report N, vol. 92, p. 23584 (1991)"},{"key":"10_CR33","doi-asserted-by":"publisher","first-page":"102993","DOI":"10.1016\/j.bspc.2021.102993","volume":"70","author":"GH de Souza","year":"2021","unstructured":"de Souza, G.H., Bernardino, H.S., Vieira, A.B.: Single electrode energy on clinical brain-computer interface challenge. Biomed. Signal Process. Control 70, 102993 (2021)","journal-title":"Biomed. Signal Process. Control"},{"key":"10_CR34","doi-asserted-by":"crossref","unstructured":"de Souza, G.H., Bernardino, H.S., Vieira, A.B., Barbosa, H.J.C.: Differential evolution based spatial filter optimization for brain-computer interface. In: Proceedings of the ACM Genetic and Evolutionary Computation Conference, pp. 1165\u20131173 (2019)","DOI":"10.1145\/3321707.3321791"},{"key":"10_CR35","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1007\/978-3-030-86230-5_18","volume-title":"Progress in Artificial Intelligence","author":"GH de Souza","year":"2021","unstructured":"de Souza, G.H., Bernardino, H.S., Vieira, A.B., Barbosa, H.J.C.: Genetic programming for feature extraction in motor imagery brain-computer interface. In: Marreiros, G., Melo, F.S., Lau, N., Lopes Cardoso, H., Reis, L.P. (eds.) EPIA 2021. LNCS (LNAI), vol. 12981, pp. 227\u2013238. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-86230-5_18"},{"issue":"3","key":"10_CR36","doi-asserted-by":"publisher","first-page":"749","DOI":"10.1007\/s12369-019-00576-1","volume":"12","author":"M Staffa","year":"2020","unstructured":"Staffa, M., Giordano, M., Ficuciello, F.: A WiSARD network approach for a BCI-based robotic prosthetic control. Int. J. Soc. Robot. 12(3), 749\u2013764 (2020)","journal-title":"Int. J. Soc. Robot."},{"issue":"4","key":"10_CR37","doi-asserted-by":"publisher","first-page":"348","DOI":"10.1016\/S1474-4422(19)30415-6","volume":"19","author":"CM Stinear","year":"2020","unstructured":"Stinear, C.M., Lang, C.E., Zeiler, S., Byblow, W.D.: Advances and challenges in stroke rehabilitation. Lancet Neurol. 19(4), 348\u2013360 (2020)","journal-title":"Lancet Neurol."},{"key":"10_CR38","doi-asserted-by":"crossref","unstructured":"Tangermann, M., et al.: Review of the BCI competition IV. Front. Neurosci. 6(55) (2012)","DOI":"10.3389\/fnins.2012.00055"},{"key":"10_CR39","doi-asserted-by":"crossref","unstructured":"Tzallas, A.T., et al.: EEG classification and short-term epilepsy prognosis using brain computer interface software. In: 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS), pp. 349\u2013353. IEEE (2017)","DOI":"10.1109\/CBMS.2017.97"},{"key":"10_CR40","doi-asserted-by":"crossref","unstructured":"Vansteensel, M.J., Jarosiewicz, B.: Brain-computer interfaces for communication. In: Handbook of Clinical Neurology, vol. 168, pp. 67\u201385. Elsevier (2020)","DOI":"10.1016\/B978-0-444-63934-9.00007-X"},{"issue":"6","key":"10_CR41","doi-asserted-by":"publisher","first-page":"767","DOI":"10.1016\/S1388-2457(02)00057-3","volume":"113","author":"JR Wolpaw","year":"2002","unstructured":"Wolpaw, J.R., Birbaumer, N., McFarland, D.J., Pfurtscheller, G., Vaughan, T.M.: Brain-computer interfaces for communication and control. Clin. Neurophysiol. 113(6), 767\u2013791 (2002)","journal-title":"Clin. Neurophysiol."},{"key":"10_CR42","doi-asserted-by":"crossref","unstructured":"Yoshioka, M., Inoue, T., Ozawa, J.: Brain signal pattern of engrossed subjects using near infrared spectroscopy (NIRS) and its application to tv commercial evaluation. In: The 2012 International Joint Conference on Neural Networks (IJCNN), pp. 1\u20136. IEEE (2012)","DOI":"10.1109\/IJCNN.2012.6252752"}],"container-title":["Lecture Notes in Computer Science","Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-21686-2_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T17:09:57Z","timestamp":1709831397000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-21686-2_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031216855","9783031216862"],"references-count":42,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-21686-2_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"19 November 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BRACIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Brazilian Conference on Intelligent Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Campinas","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Brazil","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 November 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 December 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bracis2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www2.sbc.org.br\/bracis2022\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"JEMS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"225","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"89","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"40% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}