{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T16:59:20Z","timestamp":1783097960697,"version":"3.54.6"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031646287","type":"print"},{"value":"9783031646294","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-64629-4_22","type":"book-chapter","created":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T15:30:34Z","timestamp":1724427034000},"page":"263-276","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["EEG-Based Detection of\u00a0REM Sleep Behaviour Disorder: Towards a\u00a0Stage-Agnostic Approach"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-3361-1233","authenticated-orcid":false,"given":"Gabriele Salvatore","family":"Giarrusso","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9420-4922","authenticated-orcid":false,"given":"Irene","family":"Rechichi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3670-9412","authenticated-orcid":false,"given":"Gabriella","family":"Olmo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,8,23]]},"reference":[{"issue":"12","key":"22_CR1","doi-asserted-by":"publisher","first-page":"2583","DOI":"10.1007\/s11064-015-1581-6","volume":"40","author":"NA Jessen","year":"2015","unstructured":"Jessen, N.A., Munk, A.S.F., Lundgaard, I., Nedergaard, M.: The glymphatic system: a beginner\u2019s guide. Neurochem. Res. 40(12), 2583\u20132599 (2015). https:\/\/doi.org\/10.1007\/s11064-015-1581-6","journal-title":"Neurochem. Res."},{"key":"22_CR2","doi-asserted-by":"publisher","unstructured":"Lim, E.W., et al.: Amyloid-$$\\beta $$ and parkinson\u2019s disease. J. Neurol. 266(11), 2605\u20132619 (2019). https:\/\/doi.org\/10.1007\/s00415-018-9100-8","DOI":"10.1007\/s00415-018-9100-8"},{"key":"22_CR3","doi-asserted-by":"publisher","unstructured":"Ngo, H.V.V., Claassen, J., Dresler, M.: Sleep: slow wave activity predicts amyloid-beta accumulation. Curr. Biol. 30(22), R1371\u2013R1373 (2020). https:\/\/doi.org\/10.1016\/j.cub.2020.09.058","DOI":"10.1016\/j.cub.2020.09.058"},{"key":"22_CR4","doi-asserted-by":"publisher","unstructured":"Rechichi, I., Zibetti, M., Borz\u00ed, L., Olmo, G., Lopiano, L.: Single-channel EEG classification of sleep stages based on REM microstructure. Healthc. Technol. Lett. 8, 58\u201365 (2021). https:\/\/doi.org\/10.1049\/htl2.12007","DOI":"10.1049\/htl2.12007"},{"key":"22_CR5","doi-asserted-by":"publisher","unstructured":"Valomon, A., et al.: A high-density electroencephalography study reveals abnormal sleep homeostasis in patients with rapid eye movement sleep behavior disorder. Sci. Rep. 11, 4758 (2021).https:\/\/doi.org\/10.1038\/s41598-021-83980-w","DOI":"10.1038\/s41598-021-83980-w"},{"key":"22_CR6","doi-asserted-by":"publisher","unstructured":"McCarter, S.J., Louis, E.K.S., Boeve, B.F.: REM sleep behavior disorder and REM sleep without Atonia as an early manifestation of degenerative neurological disease. Curr. Neurol. Neurosci. Rep. 12, 182\u2013192 (2012). https:\/\/doi.org\/10.1007\/s11910-012-0253-z","DOI":"10.1007\/s11910-012-0253-z"},{"key":"22_CR7","doi-asserted-by":"publisher","unstructured":"Galbiati, A., Verga, L., Giora, E., Zucconi, M., Ferini-Strambi, L.: The risk of neurodegeneration in rem sleep behavior disorder: a systematic review and meta-analysis of longitudinal studies. Sleep Med. Rev. 43, 37\u201346 (2019). https:\/\/doi.org\/10.1016\/j.smrv.2018.09.008","DOI":"10.1016\/j.smrv.2018.09.008"},{"key":"22_CR8","doi-asserted-by":"publisher","unstructured":"Hu, M.T.: REM sleep behavior disorder (RBD). Neurobiol. Dis. 143, 104996 (2020). https:\/\/doi.org\/10.1016\/j.nbd.2020.104996","DOI":"10.1016\/j.nbd.2020.104996"},{"issue":"Suppl 1","key":"22_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11818-016-0048-6","volume":"21","author":"B H\u00f6gl","year":"2017","unstructured":"H\u00f6gl, B., Stefani, A.: REM sleep behavior disorder (RBD): update on diagnosis and treatment. Somnologie (Berl.) 21(Suppl 1), 1\u20138 (2017). https:\/\/doi.org\/10.1007\/s11818-016-0048-6","journal-title":"Somnologie (Berl.)"},{"key":"22_CR10","doi-asserted-by":"publisher","unstructured":"Bramich, S., King, A., Kuruvilla, M., Naismith, S.L., Noyce, A., Alty, J.: Isolated rem sleep behaviour disorder: current diagnostic procedures and emerging new technologies. J. Neurol. 269, 4684\u20134695 (2022). https:\/\/doi.org\/10.1007\/s00415-022-11213-9","DOI":"10.1007\/s00415-022-11213-9"},{"key":"22_CR11","doi-asserted-by":"publisher","unstructured":"Rechichi, I., Amato, F., Cicolin, A., Olmo, G.: Single-channel EEG detection of REM sleep behaviour disorder: the influence of REM and slow wave sleep. In: Rojas, I., Valenzuela, O., Rojas, F., Herrera, L.J., Ortuno, F. (eds.) Bioinformatics and Biomedical Engineering. IWBBIO 2022. LNCS(), vol. 13346. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-07704-3_31","DOI":"10.1007\/978-3-031-07704-3_31"},{"issue":"101745","key":"22_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.smrv.2023.101745","volume":"68","author":"M Puligheddu","year":"2023","unstructured":"Puligheddu, M., et al.: Quantification of REM sleep without Atonia: a review of study methods and meta-analysis of their performance for the diagnosis of RBD. Sleep Med. Rev. 68(101745), 101745 (2023). https:\/\/doi.org\/10.1016\/j.smrv.2023.101745","journal-title":"Sleep Med. Rev."},{"issue":"4","key":"22_CR13","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1016\/j.clinph.2019.01.011","volume":"130","author":"N Cooray","year":"2019","unstructured":"Cooray, N., Andreotti, F., Lo, C., Symmonds, M., Hu, M.T., De Vos, M.: Detection of rem sleep behaviour disorder by automated polysomnography analysis. Clin. Neurophysiol. 130(4), 505\u2013514 (2019). https:\/\/doi.org\/10.1016\/j.clinph.2019.01.011","journal-title":"Clin. Neurophysiol."},{"issue":"1","key":"22_CR14","doi-asserted-by":"publisher","first-page":"248","DOI":"10.3390\/ijerph19010248","volume":"19","author":"I Rechichi","year":"2021","unstructured":"Rechichi, I., Iadarola, A., Zibetti, M., Cicolin, A., Olmo, G.: Assessing REM sleep behaviour disorder: from machine learning classification to the definition of a continuous dissociation index. Int. J. Environ. Res. Public Health 19(1), 248 (2021). https:\/\/doi.org\/10.3390\/ijerph19010248","journal-title":"Int. J. Environ. Res. Public Health"},{"key":"22_CR15","doi-asserted-by":"publisher","unstructured":"Buettner, R., Grimmeisen, A., Gotschlich, A.: High- performance diagnosis of sleep disorders: a novel, accurate and fast machine learning approach using electroencephalographic data. In: Proceedings of the Annual Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences (2020). https:\/\/doi.org\/10.24251\/HICSS.2020.396","DOI":"10.24251\/HICSS.2020.396"},{"issue":"4","key":"22_CR16","doi-asserted-by":"publisher","first-page":"904","DOI":"10.1016\/j.clinph.2021.01.009","volume":"132","author":"N Cooray","year":"2021","unstructured":"Cooray, N., Andreotti, F., Lo, C., Symmonds, M., Hu, M.T.M., De Vos, M.: Proof of concept: screening for REM sleep behaviour disorder with a minimal set of sensors. Clin. Neurophysiol. 132(4), 904\u2013913 (2021). https:\/\/doi.org\/10.1016\/j.clinph.2021.01.009","journal-title":"Clin. Neurophysiol."},{"key":"22_CR17","doi-asserted-by":"publisher","unstructured":"Zhuang, D., Rao, I., Ibrahim, A.K.: A machine learning approach to automatic classification of eight sleep disorders (2022). https:\/\/doi.org\/10.48550\/arXiv.2204.06997","DOI":"10.48550\/arXiv.2204.06997"},{"key":"22_CR18","doi-asserted-by":"publisher","unstructured":"Cesari, M., et al.: A data-driven system to identify REM sleep behavior disorder and to predict its progression from the prodromal stage in Parkinson\u2019s disease. Sleep Med. 77, 238\u2013248 (2021). https:\/\/doi.org\/10.1016\/j.sleep.2020.04.010","DOI":"10.1016\/j.sleep.2020.04.010"},{"issue":"23","key":"22_CR19","doi-asserted-by":"publisher","first-page":"E215","DOI":"10.1161\/01.cir.101.23.e215","volume":"101","author":"AL Goldberger","year":"2000","unstructured":"Goldberger, A.L., et al.: PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals. Circulation 101(23), E215-20 (2000). https:\/\/doi.org\/10.1161\/01.cir.101.23.e215","journal-title":"Circulation"},{"issue":"2","key":"22_CR20","doi-asserted-by":"publisher","first-page":"649","DOI":"10.1016\/j.bbe.2020.02.002","volume":"40","author":"A Khosla","year":"2020","unstructured":"Khosla, A., Khandnor, P., Chand, T.: A comparative analysis of signal processing and classification methods for different applications based on EEG signals. Biocybernetics Biomed. Eng. 40(2), 649\u2013690 (2020). https:\/\/doi.org\/10.1016\/j.bbe.2020.02.002","journal-title":"Biocybernetics Biomed. Eng."},{"issue":"9","key":"22_CR21","doi-asserted-by":"publisher","first-page":"272","DOI":"10.3390\/e18090272","volume":"18","author":"K Aboalayon","year":"2016","unstructured":"Aboalayon, K., Faezipour, M., Almuhammadi, W., Moslehpour, S.: Sleep stage classification using EEG signal analysis: a comprehensive survey and new investigation. Entropy (Basel) 18(9), 272 (2016). https:\/\/doi.org\/10.3390\/e18090272","journal-title":"Entropy (Basel)"},{"issue":"11","key":"22_CR22","doi-asserted-by":"publisher","first-page":"3786","DOI":"10.3390\/s21113786","volume":"21","author":"I Stancin","year":"2021","unstructured":"Stancin, I., Cifrek, M., Jovic, A.: A review of EEG signal features and their application in driver drowsiness detection systems. Sensors (Basel) 21(11), 3786 (2021). https:\/\/doi.org\/10.3390\/s21113786","journal-title":"Sensors (Basel)"},{"key":"22_CR23","doi-asserted-by":"publisher","unstructured":"Ma, Y., Shi, W., Peng, C.K., Yang, A.C.: Nonlinear dynamical analysis of sleep electroencephalography using fractal and entropy approaches. Sleep Med. Rev. 37, 85\u201393 (2018). https:\/\/doi.org\/10.1016\/j.smrv.2017.01.003","DOI":"10.1016\/j.smrv.2017.01.003"},{"issue":"2","key":"22_CR24","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1142\/s0219720005001004","volume":"3","author":"C Ding","year":"2005","unstructured":"Ding, C., Peng, H.: Minimum redundancy feature selection from microarray gene expression data. J. Bioinform. Comput. Biol. 3(2), 185\u2013205 (2005). https:\/\/doi.org\/10.1142\/s0219720005001004","journal-title":"J. Bioinform. Comput. Biol."},{"issue":"6","key":"22_CR25","doi-asserted-by":"publisher","first-page":"593","DOI":"10.1111\/jsr.12309","volume":"24","author":"C O\u2019Reilly","year":"2015","unstructured":"O\u2019Reilly, C., Godin, I., Montplaisir, J., Nielsen, T.: REM sleep behaviour disorder is associated with lower fast and higher slow sleep spindle densities. J. Sleep Res. 24(6), 593\u2013601 (2015). https:\/\/doi.org\/10.1111\/jsr.12309","journal-title":"J. Sleep Res."},{"key":"22_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2022.103539","volume":"75","author":"A Kazemi","year":"2022","unstructured":"Kazemi, A., McKeown, M.J., Mirian, M.S.: Sleep staging using semi-unsupervised clustering of EEG: application to rem sleep behavior disorder. Biomed. Signal Process. Control 75, 103539 (2022). https:\/\/doi.org\/10.1016\/j.bspc.2022.103539","journal-title":"Biomed. Signal Process. Control"},{"issue":"11","key":"22_CR27","doi-asserted-by":"publisher","first-page":"2344","DOI":"10.1007\/s10439-014-1085-6","volume":"42","author":"SA Imtiaz","year":"2014","unstructured":"Imtiaz, S.A., Rodriguez-Villegas, E.: A low computational cost algorithm for REM sleep detection using single channel EEG. Ann. Biomed. Eng. 42(11), 2344\u20132359 (2014). https:\/\/doi.org\/10.1007\/s10439-014-1085-6","journal-title":"Ann. Biomed. Eng."}],"container-title":["Lecture Notes in Computer Science","Bioinformatics and Biomedical Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-64629-4_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,14]],"date-time":"2024-10-14T14:08:21Z","timestamp":1728914901000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-64629-4_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031646287","9783031646294"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-64629-4_22","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"23 August 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IWBBIO","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Work-Conference on Bioinformatics and Biomedical Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Gran Canaria","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":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 July 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 July 2024","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":"iwbbio2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iwbbio.ugr.es\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}