{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,12]],"date-time":"2024-09-12T22:17:33Z","timestamp":1726179453937},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031209796"},{"type":"electronic","value":"9783031209802"}],"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\/978-3-031-20980-2_57","type":"book-chapter","created":{"date-parts":[[2022,11,12]],"date-time":"2022-11-12T19:03:09Z","timestamp":1668279789000},"page":"676-687","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Dynamics of Frequency Characteristics of Visually Evoked Potentials of Electroencephalography During the Work with Brain-Computer Interfaces"],"prefix":"10.1007","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-5290-885X","authenticated-orcid":false,"given":"Yaroslav","family":"Turovsky","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0001-5021-5411","authenticated-orcid":false,"given":"Daniyar","family":"Wolf","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-1129-8434","authenticated-orcid":false,"given":"Roman","family":"Meshcheryakov","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0001-8358-298X","authenticated-orcid":false,"given":"Anastasia","family":"Iskhakova","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,11,10]]},"reference":[{"issue":"1","key":"57_CR1","doi-asserted-by":"publisher","first-page":"016008","DOI":"10.1088\/1741-2560\/9\/1\/016008","volume":"9","author":"T Tu","year":"2012","unstructured":"Tu, T., Xin, Y., Gao, X., Gao, S.: Chirp-modulated visual evoked potential as a generalization of steady state visual evoked potential. J. Neural Eng. 9(1), 016008 (2012)","journal-title":"J. Neural Eng."},{"key":"57_CR2","doi-asserted-by":"crossref","unstructured":"Kwak, N.S., M\u00fcller, K.R., Lee, S.W.: Toward exoskeleton control based on steady state visual evoked potentials. In: 2014 International Winter Workshop on Brain-Computer Interface (BCI), pp. 1\u20132. IEEE, Gangwon, Korea (South) (2014)","DOI":"10.1109\/iww-BCI.2014.6782571"},{"issue":"5","key":"57_CR3","first-page":"263","volume":"47","author":"R Balnyt\u0117","year":"2011","unstructured":"Balnyt\u0117, R., Ulozien\u0117, I., Rastenyt\u0117, D., Vaitkus, A., Malcien\u0117, L., Lau\u010dkait\u0117, K.: Diagnostic value of conventional visual evoked potentials applied to patients with multiple sclerosis. Medicina (Kaunas) 47(5), 263\u2013269 (2011)","journal-title":"Medicina (Kaunas)"},{"key":"57_CR4","doi-asserted-by":"publisher","unstructured":"Markand, O.: Visual evoked potentials. In: Clinical Evoked Potentials, pp. 83\u2013137. Springer, Cham (2020).https:\/\/doi.org\/10.1007\/978-3-030-36955-2_3","DOI":"10.1007\/978-3-030-36955-2_3"},{"issue":"1","key":"57_CR5","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1016\/j.rehab.2014.11.002","volume":"58","author":"U Chaudhary","year":"2015","unstructured":"Chaudhary, U., Birbaumer, N., Curado, M.R.: Brain-machine interface (BMI) in paralysis. Ann. Phys. Rehabil. Med. 58(1), 9\u201313 (2015)","journal-title":"Ann. Phys. Rehabil. Med."},{"key":"57_CR6","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1007\/978-3-030-60276-5_14","volume-title":"Speech and Computer","author":"A Dvoynikova","year":"2020","unstructured":"Dvoynikova, A., Verkholyak, O., Karpov, A.: Emotion recognition and sentiment analysis of extemporaneous speech transcriptions in Russian. In: Karpov, A., Potapova, R. (eds.) SPECOM 2020. LNCS (LNAI), vol. 12335, pp. 136\u2013144. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-60276-5_14"},{"key":"57_CR7","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"166","DOI":"10.1007\/978-3-030-87802-3_16","volume-title":"Speech and Computer","author":"D Dresvyanskiy","year":"2021","unstructured":"Dresvyanskiy, D., Minker, W., Karpov, A.: Deep learning based engagement recognition in highly imbalanced data. In: Karpov, A., Potapova, R. (eds.) SPECOM 2021. LNCS (LNAI), vol. 12997, pp. 166\u2013178. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-87802-3_16"},{"key":"57_CR8","unstructured":"NEURON-SPECTRUM-4\/EPM 21-channel Upgradeable EEG System with EP Capabilities. https:\/\/neurosoft.com\/en\/catalog\/eeg\/neuron-spectrum-4epm"},{"key":"57_CR9","doi-asserted-by":"crossref","unstructured":"do Esp\u00edrito-Santo, R.B., Dias, G.C.B., Bortoloti, R., Huziwara, E.M.: Effect of the number of training trials on the event-related potential correlates of equivalence relations. Learn. Behav. 48, 221\u2013233 (2020)","DOI":"10.3758\/s13420-019-00389-2"},{"issue":"9","key":"57_CR10","first-page":"7975","volume":"9","author":"S Mokhtar","year":"2020","unstructured":"Mokhtar, S., Elmazeg, E.: Design and implementation of butterworth filter. Int. J. Innovative Res. Sci. Eng. Technol. 9(9), 7975\u20137983 (2020)","journal-title":"Int. J. Innovative Res. Sci. Eng. Technol."},{"issue":"5","key":"57_CR11","doi-asserted-by":"publisher","first-page":"493","DOI":"10.1097\/00004691-199409000-00004","volume":"11","author":"MJ Aminoff","year":"1994","unstructured":"Aminoff, M.J., Goodin, D.S.: Visual evoked potentials. J. Clin. Neurophysiol. Official Publ. Am. Electroencephalographic Soc. 11(5), 493\u2013499 (1994)","journal-title":"J. Clin. Neurophysiol. Official Publ. Am. Electroencephalographic Soc."},{"key":"57_CR12","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1097\/00004691-199207010-00004","volume":"9","author":"M Taylor","year":"1992","unstructured":"Taylor, M., McCulloch, D.: Visual evoked potentials in infants and children. J. Clin. Neurophysiol. Official Publ. Am. Electroencephalographic Soc. 9, 357\u2013372 (1992)","journal-title":"J. Clin. Neurophysiol. Official Publ. Am. Electroencephalographic Soc."},{"key":"57_CR13","doi-asserted-by":"publisher","first-page":"S256","DOI":"10.1111\/j.1755-3768.2016.0215","volume":"94","author":"A Liasis","year":"2016","unstructured":"Liasis, A.: Visual evoked potentials. Acta Ophthalmol. 94, S256 (2016)","journal-title":"Acta Ophthalmol."},{"key":"57_CR14","doi-asserted-by":"crossref","unstructured":"Carter, J.: Visual evoked potentials. In: Clinical Neurophysiology, 4 edn., Contemporary Neurology Series, pp. 567\u2013578. Oxford Academic, New York (2016)","DOI":"10.1093\/med\/9780190259631.003.0031"},{"issue":"2","key":"57_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0172578","volume":"12","author":"NS Kwak","year":"2017","unstructured":"Kwak, N.S., M\u00fcller, K.R., Lee, S.W.: A convolutional neural network for steady state visual evoked potential classification under ambulatory environment. PLoS ONE 12(2), 1\u201320 (2017)","journal-title":"PLoS ONE"},{"key":"57_CR16","doi-asserted-by":"crossref","unstructured":"Nguyen, H., Bottone, S., Kim, K., Chiang, M., Poor, H.V.: Adversarial neural networks for error correcting codes. In: 2021 IEEE Global Communications Conference (GLOBECOM), 2021, pp. 1\u20136. IEEE, Madrid, Spain (2021)","DOI":"10.1109\/GLOBECOM46510.2021.9685472"},{"key":"57_CR17","series-title":"Studies in Computational Intelligence","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1007\/978-981-15-6325-6_5","volume-title":"Deep Learning for Medical Decision Support Systems","author":"U Kose","year":"2021","unstructured":"Kose, U., Deperlioglu, O., Alzubi, J., Patrut, B.: Diagnosing Parkinson by using deep autoencoder neural network. In: Deep Learning for Medical Decision Support Systems. SCI, vol. 909, pp. 73\u201393. Springer, Singapore (2021). https:\/\/doi.org\/10.1007\/978-981-15-6325-6_5"},{"key":"57_CR18","doi-asserted-by":"crossref","unstructured":"Mirjalili, V., Raschka, S., Namboodiri, A., Ross, A.: Semi-adversarial networks: convolutional autoencoders for imparting privacy to face images. In: 2018 International Conference on Biometrics (ICB), pp. 82\u201389. IEEE, Gold Coast, QLD, Australia (2018)","DOI":"10.1109\/ICB2018.2018.00023"},{"key":"57_CR19","doi-asserted-by":"crossref","unstructured":"Bicego, M., Escolano, F.: On learning random forests for random forest-clustering. In: 2020 25th International Conference on Pattern Recognition (ICPR), pp. 3451\u20133458. IEEE, Milan, Italy (2021)","DOI":"10.1109\/ICPR48806.2021.9412014"},{"key":"57_CR20","unstructured":"Olson. M.: Essays on Random Forest Ensembles (PhD dissertation), p. 146 (2018)"},{"key":"57_CR21","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1007\/978-981-13-9364-8_31","volume-title":"Data Management, Analytics and Innovation","author":"A Nayyar","year":"2020","unstructured":"Nayyar, A., Mahapatra, B.: Effective classification and handling of incoming data packets in mobile ad hoc networks (MANETs) using random forest ensemble technique (RF\/ET). In: Sharma, N., Chakrabarti, A., Balas, V.E. (eds.) Data Management, Analytics and Innovation. AISC, vol. 1016, pp. 431\u2013444. Springer, Singapore (2020). https:\/\/doi.org\/10.1007\/978-981-13-9364-8_31"},{"key":"57_CR22","doi-asserted-by":"publisher","first-page":"101445","DOI":"10.1016\/j.jocs.2021.101445","volume":"55","author":"A Fahim","year":"2021","unstructured":"Fahim, A.: K and starting means for k-means algorithm. J. Comput. Sci. 55, 101445 (2021)","journal-title":"J. Comput. Sci."},{"key":"57_CR23","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1007\/978-3-030-94141-3_27","volume-title":"High-Performance Computing Systems and Technologies in Scientific Research, Automation of Control and Production","author":"Y Turovskiy","year":"2022","unstructured":"Turovskiy, Y., Volf, D., Iskhakova, A., Iskhakov, A.: Neuro-computer interface control of cyber-physical systems. In: Jordan, V., Tarasov, I., Faerman, V. (eds.) HPCST 2021. CCIS, vol. 1526, pp. 338\u2013353. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-030-94141-3_27"}],"container-title":["Lecture Notes in Computer Science","Speech and Computer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-20980-2_57","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,12]],"date-time":"2022-11-12T19:10:27Z","timestamp":1668280227000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-20980-2_57"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031209796","9783031209802"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-20980-2_57","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":"10 November 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SPECOM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Speech and Computer","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Gurugram","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","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":"14 November 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 November 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"specom2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.specom.co.in","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"99","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":"60","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":"61% - 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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}