{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T08:45:23Z","timestamp":1743151523084,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031062414"},{"type":"electronic","value":"9783031062421"}],"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\/978-3-031-06242-1_61","type":"book-chapter","created":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T23:03:26Z","timestamp":1653347006000},"page":"615-624","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Decoding Lower-Limbs Kinematics from\u00a0EEG Signals While Walking with\u00a0an\u00a0Exoskeleton"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7806-5248","authenticated-orcid":false,"given":"Javier V.","family":"Juan","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1306-7840","authenticated-orcid":false,"given":"Luis de la","family":"Ossa","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8057-5952","authenticated-orcid":false,"given":"Eduardo","family":"I\u00e1\u00f1ez","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4269-1554","authenticated-orcid":false,"given":"Mario","family":"Ortiz","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2256-757X","authenticated-orcid":false,"given":"Laura","family":"Ferrero","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5548-9657","authenticated-orcid":false,"given":"Jos\u00e9 M.","family":"Azor\u00edn","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,5,24]]},"reference":[{"issue":"2","key":"61_CR1","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1177\/1073858418775355","volume":"25","author":"MW Slutzky","year":"2019","unstructured":"Slutzky, M.W.: Brain-machine interfaces: powerful tools for clinical treatment and neuroscientific investigations. Neuroscientist 25(2), 139\u2013154 (2019). https:\/\/doi.org\/10.1177\/1073858418775355","journal-title":"Neuroscientist"},{"key":"61_CR2","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1109\/RBME.2009.2035356","volume":"2","author":"J Mak","year":"2010","unstructured":"Mak, J., Wolpaw, J.R.: Clinical applications of brain-computer interfaces: current state and future prospects. IEEE Rev. Biomed. Eng. 2, 187\u2013199 (2010)","journal-title":"IEEE Rev. Biomed. Eng."},{"key":"61_CR3","doi-asserted-by":"publisher","unstructured":"Cramer, S.C.: Repairing the human brain after stroke. II. Restorative therapies. Ann. Neurol. 63(5), 549\u2013560 (2008). https:\/\/doi.org\/10.1002\/ANA.21412","DOI":"10.1002\/ANA.21412"},{"key":"61_CR4","doi-asserted-by":"publisher","unstructured":"Gharabaghi, A.: What turns assistive into restorative brain-machine interfaces? Front. Neurosci. (OCT), 456 (2016). https:\/\/doi.org\/10.3389\/FNINS.2016.00456","DOI":"10.3389\/FNINS.2016.00456"},{"key":"61_CR5","doi-asserted-by":"crossref","unstructured":"Millan, J.D.R., et al.: Combining brain-computer interfaces and assistive technologies: state-of-the-art and challenges. Front. Neurosci. 4, 161 (2010)","DOI":"10.3389\/fnins.2010.00161"},{"key":"61_CR6","doi-asserted-by":"publisher","unstructured":"Li, Y.D., Hsiao-Wecksler, E.T.: Gait mode recognition and control for a portable-powered ankle-foot orthosis. In: 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR), vol. 2013 (2013). https:\/\/doi.org\/10.1109\/ICORR.2013.6650373","DOI":"10.1109\/ICORR.2013.6650373"},{"key":"61_CR7","doi-asserted-by":"publisher","first-page":"1407","DOI":"10.1113\/jphysiol.2012.247593","volume":"591","author":"T Castermans","year":"2013","unstructured":"Castermans, T., Duvinage, M.: Corticomuscular coherence revealed during treadmill walking: further evidence of supraspinal control in human locomotion. J. Physiol. 591, 1407\u20131408 (2013)","journal-title":"J. Physiol."},{"key":"61_CR8","doi-asserted-by":"publisher","unstructured":"Contreras-Vidal, J.L., Grossman, R.G.: NeuroRex: a clinical neural interface roadmap for EEG-based brain machine interfaces to a lower body robotic exoskeleton. In: Proceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 1579\u20131582 (2013). https:\/\/doi.org\/10.1109\/EMBC.2013.6609816","DOI":"10.1109\/EMBC.2013.6609816"},{"key":"61_CR9","doi-asserted-by":"publisher","unstructured":"Ortiz, M., Ferrero, L., I\u00e1\u00f1ez, E., Azor\u00edn, J.M., Contreras-Vidal, J.L.: Sensory integration in human movement: a new brain-machine interface based on gamma band and attention level for controlling a lower-limb exoskeleton. Front. Bioeng. Biotechnol. 8(September) (2020). https:\/\/doi.org\/10.3389\/fbioe.2020.00735","DOI":"10.3389\/fbioe.2020.00735"},{"key":"61_CR10","doi-asserted-by":"publisher","unstructured":"Ferrero, L., Quiles, V., Ortiz, M., I\u00e1\u00f1ez, E., Azor\u00edn, J.M.: A BMI based on motor imagery and attention for commanding a lower-limb robotic exoskeleton: a case study. Appl. Sci. 11(9) 4106 (2021). https:\/\/doi.org\/10.3390\/APP11094106","DOI":"10.3390\/APP11094106"},{"key":"61_CR11","doi-asserted-by":"crossref","unstructured":"Kaplan, Zhigulskaya, D., Kiriyanov, D.A.: Studying the ability to control human phantom fingers in P300 brain-computer interface. Bull. Russ. State Med. Univ. (2016)","DOI":"10.24075\/brsmu.2016-02-03"},{"key":"61_CR12","doi-asserted-by":"publisher","unstructured":"\u00dabeda, A., et al.: Decoding knee angles from EEG signals for different walking speeds. In: Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), vol. 2014-Janua, no. January, pp. 1475\u20131478 (2014). https:\/\/doi.org\/10.1109\/smc.2014.6974123","DOI":"10.1109\/smc.2014.6974123"},{"issue":"11","key":"61_CR13","doi-asserted-by":"publisher","first-page":"2054","DOI":"10.1109\/TNSRE.2017.2703586","volume":"25","author":"K Gui","year":"2017","unstructured":"Gui, K., Liu, H., Zhang, D.: Toward multimodal human-robot interaction to enhance active participation of users in gait rehabilitation. IEEE Trans. Neural Syst. Rehabil. Eng. 25(11), 2054\u20132066 (2017). https:\/\/doi.org\/10.1109\/TNSRE.2017.2703586","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"61_CR14","doi-asserted-by":"publisher","unstructured":"\u00dabeda, A., et al.: Single joint movement decoding from EEG in healthy and incomplete spinal cord injured subjects. In: Proceedings of the 2015 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), vol. 2015-Decem, pp. 6179\u20136183 (2015). https:\/\/doi.org\/10.1109\/IROS.2015.7354258","DOI":"10.1109\/IROS.2015.7354258"},{"key":"61_CR15","doi-asserted-by":"crossref","unstructured":"Mercado, L., Azor\u00edn, J.M., Platas, M., \u00dabeda, A., Quiroz, G.: Offline lower-limb kinematic decodification by segments of EEG signals. In: Proceedings of the 40th International Conf. of the IEEE Eng. in Medicine and Biology Society, pp. 2398\u20132401, Honolulu, HI, 17\u201321 July 2018. ISBN:978-1-5386-3646-6","DOI":"10.1109\/EMBC.2018.8512840"},{"key":"61_CR16","doi-asserted-by":"publisher","unstructured":"Garipelli, G., Chavarriaga, R., Mill\u00e1n, J.D.R.: Single trial analysis of slow cortical potentials: a study on anticipation related potentials. J. Neural Eng. 10(3) (2013). https:\/\/doi.org\/10.1088\/1741-2560\/10\/3\/036014","DOI":"10.1088\/1741-2560\/10\/3\/036014"},{"key":"61_CR17","doi-asserted-by":"crossref","unstructured":"\u00dabeda, A., Hortal, E., I\u00e1\u00f1ez, E., Planelles, D., Azor\u00edn, J.M.: Passive robot assistance in arm movement decoding from EEG signals. In: Proceedings of the 6th Annual International IEEE EMBS Conference on Neural Engineering, pp. 895\u2013898 (2013)","DOI":"10.1109\/NER.2013.6696079"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-06242-1_61","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,25]],"date-time":"2024-09-25T20:02:37Z","timestamp":1727294557000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-06242-1_61"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031062414","9783031062421"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-06242-1_61","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":"24 May 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IWINAC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Work-Conference on the Interplay Between Natural and Artificial Computation","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Puerto de la Cruz, Tenerife","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","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":"31 May 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 June 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iwinac2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/iwinac.org\/iwinac2022\/index.html","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":"ConfMaster","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"203","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":"121","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":"60% - 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":"2.5","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":"3","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)"}}]}}