{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T23:30:46Z","timestamp":1743031846953,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030592769"},{"type":"electronic","value":"9783030592776"}],"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\/978-3-030-59277-6_33","type":"book-chapter","created":{"date-parts":[[2020,9,18]],"date-time":"2020-09-18T19:02:32Z","timestamp":1600455752000},"page":"361-371","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["EEG Based Sleep-Wake Classification Using JOPS Algorithm"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5652-2065","authenticated-orcid":false,"given":"Abdullah Al-Mamun","family":"Bulbul","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3028-4932","authenticated-orcid":false,"given":"Md.","family":"Abdul Awal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1779-0788","authenticated-orcid":false,"given":"Kumar","family":"Debjit","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,9,15]]},"reference":[{"key":"33_CR1","doi-asserted-by":"publisher","first-page":"466","DOI":"10.1038\/sj.ijo.0803438","volume":"31","author":"AJ Littman","year":"2007","unstructured":"Littman, A.J., et al.: Sleep, ghrelin, leptin and changes in body weight during a 1-year moderate-intensity physical activity intervention. Int. J. Obes. 31, 466\u2013475 (2007)","journal-title":"Int. J. Obes."},{"key":"33_CR2","doi-asserted-by":"publisher","first-page":"330","DOI":"10.1006\/cbmr.2000.1549","volume":"33","author":"H-J Park","year":"2000","unstructured":"Park, H.-J., Oh, J.-S., Jeong, D.-U., Park, K.-S.: Automated sleep stage scoring using hybrid rule- and case-based reasoning. Comput. Biomed. Res. 33, 330\u2013349 (2000)","journal-title":"Comput. Biomed. Res."},{"key":"33_CR3","doi-asserted-by":"publisher","first-page":"259","DOI":"10.3109\/13651501.2011.640938","volume":"16","author":"Z-T Yeh","year":"2012","unstructured":"Yeh, Z.-T., Chiang, R.P.-Y., Kang, S.-C., Chiang, C.-H.: Development of the insomnia screening scale based on ICSD-II. Int. J. Psychiatry Clin. Pract. 16, 259\u2013267 (2012)","journal-title":"Int. J. Psychiatry Clin. Pract."},{"key":"33_CR4","first-page":"92161","volume":"30","author":"D Leger","year":"2007","unstructured":"Leger, D., Pandi-Perumal, S., Healthcare, I.: Review of sleep disorders: their impact on public health. Public Health 30, 92161 (2007)","journal-title":"Public Health"},{"key":"33_CR5","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1007\/s11325-009-0281-3","volume":"14","author":"S Ram","year":"2010","unstructured":"Ram, S., Seirawan, H., Kumar, S.K.S., Clark, G.T.: Prevalence and impact of sleep disorders and sleep habits in the United States. Sleep Breath. 14, 63\u201370 (2010). https:\/\/doi.org\/10.1007\/s11325-009-0281-3","journal-title":"Sleep Breath."},{"key":"33_CR6","doi-asserted-by":"publisher","first-page":"1310","DOI":"10.1378\/chest.08-0812","volume":"134","author":"BV Vaughn","year":"2008","unstructured":"Vaughn, B.V., Giallanza, P.: Technical review of polysomnography. Chest 134, 1310\u20131319 (2008)","journal-title":"Chest"},{"key":"33_CR7","doi-asserted-by":"crossref","unstructured":"Hassan, A.R., Bhuiyan, M.I.H.: Automatic sleep stage classification. In: 2nd International Conference on Electrical Information and Communication Technologies (EICT), pp. 211\u2013216 (2015)","DOI":"10.1109\/EICT.2015.7391948"},{"key":"33_CR8","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.jneumeth.2016.07.012","volume":"271","author":"AR Hassan","year":"2016","unstructured":"Hassan, A.R., Bhuiyan, M.I.H.: A decision support system for automatic sleep staging from EEG signals using tunable Q-factor wavelet transform and spectral features. J. Neurosci. Methods 271, 107\u2013118 (2016)","journal-title":"J. Neurosci. Methods"},{"key":"33_CR9","doi-asserted-by":"publisher","first-page":"6573","DOI":"10.3390\/e16126573","volume":"16","author":"JL Rodr\u00edguez-Sotelo","year":"2014","unstructured":"Rodr\u00edguez-Sotelo, J.L., Osorio-Forero, A., Jim\u00e9nez-Rodr\u00edguez, A., Cuesta-Frau, D., Cirugeda-Rold\u00e1n, E., Peluffo, D.: Automatic sleep stages classification using EEG entropy features and unsupervised pattern analysis techniques. Entropy 16, 6573\u20136589 (2014)","journal-title":"Entropy"},{"issue":"4","key":"33_CR10","doi-asserted-by":"publisher","first-page":"1159","DOI":"10.1007\/s11325-019-01789-4","volume":"23","author":"K Chen","year":"2019","unstructured":"Chen, K., Zhang, C., Ma, J., Wang, G., Zhang, J.: Sleep staging from single-channel EEG with multi-scale feature and contextual information. Sleep Breath. 23(4), 1159\u20131167 (2019). https:\/\/doi.org\/10.1007\/s11325-019-01789-4","journal-title":"Sleep Breath."},{"key":"33_CR11","doi-asserted-by":"publisher","first-page":"108320","DOI":"10.1016\/j.jneumeth.2019.108320","volume":"324","author":"H Ghimatgar","year":"2019","unstructured":"Ghimatgar, H., Kazemi, K., Helfroush, M.S., Aarabi, A.: An automatic single-channel EEG-based sleep stage scoring method based on hidden Markov Model. J. Neurosci. Methods 324, 108320 (2019)","journal-title":"J. Neurosci. Methods"},{"key":"33_CR12","doi-asserted-by":"publisher","unstructured":"Tiwari, V., Jain, S.C.: An optimal feature selection method for histopathology tissue image classification using adaptive jaya algorithm. Evol. Intel. 1\u201314 (2019). https:\/\/doi.org\/10.1007\/s12065-019-00205-w","DOI":"10.1007\/s12065-019-00205-w"},{"key":"33_CR13","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1016\/j.cmpb.2016.12.015","volume":"140","author":"AR Hassan","year":"2017","unstructured":"Hassan, A.R., Bhuiyan, M.I.H.: Automated identification of sleep states from EEG signals by means of ensemble empirical mode decomposition and random under sampling boosting. Comput. Methods Programs Biomed. 140, 201\u2013210 (2017)","journal-title":"Comput. Methods Programs Biomed."},{"key":"33_CR14","doi-asserted-by":"crossref","unstructured":"Rahman, M.A., Hossain, M.A., Kabir, M.R., Sani, M.H., Abdullah Al, M., Awal, M.A.: Optimization of sleep stage classification using single-channel EEG signals. In: 2019 4th International Conference on Electrical Information and Communication Technology (EICT), pp. 1\u20136 (2019)","DOI":"10.1109\/EICT48899.2019.9068825"},{"key":"33_CR15","first-page":"19","volume":"7","author":"R Rao","year":"2016","unstructured":"Rao, R.: Jaya: a simple and new optimization algorithm for solving constrained and unconstrained optimization problems. Int. J. Ind. Eng. Comput. 7, 19\u201334 (2016)","journal-title":"Int. J. Ind. Eng. Comput."},{"key":"33_CR16","doi-asserted-by":"publisher","first-page":"673","DOI":"10.1007\/s00500-005-0537-1","volume":"10","author":"J Teo","year":"2006","unstructured":"Teo, J.: Exploring dynamic self-adaptive populations in differential evolution. Soft. Comput. 10, 673\u2013686 (2006). https:\/\/doi.org\/10.1007\/s00500-005-0537-1","journal-title":"Soft. Comput."},{"key":"33_CR17","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1016\/j.engappai.2017.03.001","volume":"61","author":"RV Rao","year":"2017","unstructured":"Rao, R.V., Rai, D.P., Balic, J.: A multi-objective algorithm for optimization of modern machining processes. Eng. Appl. Artif. Intell. 61, 103\u2013125 (2017)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"33_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.swevo.2017.04.008","volume":"37","author":"R Venkata Rao","year":"2017","unstructured":"Venkata Rao, R., Saroj, A.: A self-adaptive multi-population based Jaya algorithm for engineering optimization. Swarm Evol. Comput. 37, 1\u201326 (2017)","journal-title":"Swarm Evol. Comput."},{"key":"33_CR19","doi-asserted-by":"publisher","first-page":"11515","DOI":"10.1016\/j.eswa.2011.03.028","volume":"38","author":"RN Khushaba","year":"2011","unstructured":"Khushaba, R.N., Al-Ani, A., Al-Jumaily, A.: Feature subset selection using differential evolution and a statistical repair mechanism. Expert Syst. Appl. 38, 11515\u201311526 (2011)","journal-title":"Expert Syst. Appl."},{"key":"33_CR20","doi-asserted-by":"publisher","first-page":"9597","DOI":"10.1109\/ACCESS.2020.2964803","volume":"8","author":"UF Siddiqi","year":"2020","unstructured":"Siddiqi, U.F., Sait, S.M., Kaynak, O.: Genetic algorithm for the mutual information-based feature selection in univariate time series data. IEEE Access 8, 9597\u20139609 (2020)","journal-title":"IEEE Access"},{"key":"33_CR21","first-page":"889","volume":"5","author":"OH Babatunde","year":"2014","unstructured":"Babatunde, O.H., Armstrong, L.: A genetic Algorithm-Based feature selection. Br. J. Math. Comput. Sci. 5, 889\u2013905 (2014)","journal-title":"Br. J. Math. Comput. Sci."}],"container-title":["Lecture Notes in Computer Science","Brain Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-59277-6_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,24]],"date-time":"2021-04-24T10:49:21Z","timestamp":1619261361000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-59277-6_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030592769","9783030592776"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-59277-6_33","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":"15 September 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Brain Informatics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Padua","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","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":"19 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 September 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"brain2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.bi2020.org\/","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":"Cyberchair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"57","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":"33","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":"58% - 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":"3-5","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)"}},{"value":"The conference was held virtually due to the COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}