{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T19:57:51Z","timestamp":1743105471388,"version":"3.40.3"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030608866"},{"type":"electronic","value":"9783030608873"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","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":[[2020]]},"DOI":"10.1007\/978-3-030-60887-3_28","type":"book-chapter","created":{"date-parts":[[2020,10,6]],"date-time":"2020-10-06T23:04:50Z","timestamp":1602025490000},"page":"309-324","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Proposal of an Empirical Methodology to Approximate an Electroencephalographic Signal with Appropriate Representatives of the Fourier Transformation"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6744-092X","authenticated-orcid":false,"given":"Jos\u00e9 Alfredo","family":"Zavaleta-Viveros","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9639-446X","authenticated-orcid":false,"given":"Porfirio","family":"Toledo","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7956-8958","authenticated-orcid":false,"given":"Martha Lorena","family":"Avenda\u00f1o-Garrido","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5546-1857","authenticated-orcid":false,"given":"Jes\u00fas Enrique","family":"Escalante-Mart\u00ednez","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,10,7]]},"reference":[{"key":"28_CR1","doi-asserted-by":"publisher","unstructured":"Huang, N.E., et al.: The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc. Roy. Soc. London. Ser. A: Math. Phys. Eng. Sci. 454(1971), 903\u2013995 (1998). \nhttps:\/\/doi.org\/10.1098\/rspa.1998.0193","DOI":"10.1098\/rspa.1998.0193"},{"issue":"04","key":"28_CR2","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1142\/S1793536911000891","volume":"03","author":"R Faltermeier","year":"2011","unstructured":"Faltermeier, R., Zeiler, A., Tom\u00e9, A.M., Brawanski, A., Lang, E.W.: Weighted sliding empirical mode decomposition. Adv. Adapt. Data Anal. 03(04), 509\u2013526 (2011). \nhttps:\/\/doi.org\/10.1142\/S1793536911000891","journal-title":"Adv. Adapt. Data Anal."},{"issue":"3","key":"28_CR3","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1109\/TSP.2013.2288675","volume":"62","author":"K Dragomiretskiy","year":"2014","unstructured":"Dragomiretskiy, K., Zosso, D.: Variational mode decomposition. IEEE Trans. Signal Process. 62(3), 531\u2013544 (2014). \nhttps:\/\/doi.org\/10.1109\/TSP.2013.2288675","journal-title":"IEEE Trans. Signal Process."},{"key":"28_CR4","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139164917","volume-title":"A Student\u2019s Guide to Fourier Transforms","author":"JF James","year":"2002","unstructured":"James, J.F.: A Student\u2019s Guide to Fourier Transforms, 2nd edn. Cambridge University Press, Cambridge (2002)","edition":"2"},{"issue":"2","key":"28_CR5","doi-asserted-by":"publisher","first-page":"939","DOI":"10.1016\/j.ijnaoe.2019.04.004","volume":"11","author":"ZS Chen","year":"2019","unstructured":"Chen, Z.S., Rhee, S.H., Liu, G.L.: Empirical mode decomposition based on Fourier transform and band-pass filter. Int. J. Nav. Archit. Ocean Eng. 11(2), 939\u2013951 (2019). \nhttps:\/\/doi.org\/10.1016\/j.ijnaoe.2019.04.004","journal-title":"Int. J. Nav. Archit. Ocean Eng."},{"key":"28_CR6","doi-asserted-by":"publisher","unstructured":"Myakinin, O.O., Zakharov, V.P., Bratchenko, I.A., Kornilin, D.V., Artemyev, D.N., Khramov, A.G.: The Empirical Mode Decomposition algorithm via Fast Fourier Transform. 9217, 1\u20136 (2014). \nhttps:\/\/doi.org\/10.1117\/12.2061808","DOI":"10.1117\/12.2061808"},{"issue":"11","key":"28_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pcbi.1003947","volume":"10","author":"H Schmidt","year":"2014","unstructured":"Schmidt, H., Petkov, G., Richardson, M.P., Terry, J.R.: Dynamics on networks: the role of local dynamics and global networks on the emergence of hypersynchronous neural activity. PLoS Comput. Biol. 10(11), 1\u201316 (2014). \nhttps:\/\/doi.org\/10.1371\/journal.pcbi.1003947","journal-title":"PLoS Comput. Biol."},{"key":"28_CR8","unstructured":"Botcharova, M.: Modelling and analysis of amplitude, phase and synchrony in human brain activity patterns. Ph.D. thesis, University College London, London, United Kingdom (2014)"},{"key":"28_CR9","doi-asserted-by":"publisher","unstructured":"Zainuddin, B.S., Hussain, Z., Isa, I.S.: Alpha and beta EEG brainwave signal classification technique: A conceptual study. In: 2014 IEEE 10th International Colloquium on Signal Processing and its Applications. pp. 233\u2013237. IEEE (2014). \nhttps:\/\/doi.org\/10.1109\/CSPA.2014.6805755","DOI":"10.1109\/CSPA.2014.6805755"},{"issue":"9","key":"28_CR10","doi-asserted-by":"publisher","first-page":"3256","DOI":"10.1152\/jn.00714.2014","volume":"113","author":"MJAM van Putten","year":"2015","unstructured":"van Putten, M.J.A.M., Tjepkema-Cloostermans, M.C., Hofmeijer, J.: Infraslow EEG activity modulates cortical excitability in postanoxic encephalopathy. J. Neurophysiol. 113(9), 3256\u20133267 (2015). \nhttps:\/\/doi.org\/10.1152\/jn.00714.2014","journal-title":"J. Neurophysiol."},{"key":"28_CR11","unstructured":"Hasan, A., Al-Amin, M.M., Owaziuddin, M.M.: Applications of fourier series in electric circuit and digital multimedia visualization signal process of communication system, vol. 4, pp. 72\u201380. American Institute of Sciencie (2019)"}],"container-title":["Lecture Notes in Computer Science","Advances in Computational Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-60887-3_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,6]],"date-time":"2020-10-06T23:14:56Z","timestamp":1602026096000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-60887-3_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030608866","9783030608873"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-60887-3_28","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"7 October 2020","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":"Mexico City","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":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 October 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 October 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"micai2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.micai.org\/2020\/","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":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"186","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":"77","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":"41% - 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":"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)"}}]}}