{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T00:06:18Z","timestamp":1743120378647,"version":"3.40.3"},"publisher-location":"Cham","reference-count":43,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031105357"},{"type":"electronic","value":"9783031105364"}],"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\/978-3-031-10536-4_38","type":"book-chapter","created":{"date-parts":[[2022,7,22]],"date-time":"2022-07-22T07:03:10Z","timestamp":1658473390000},"page":"571-585","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Drowsiness Detection Using Multivariate Statistical Process Control"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4004-9901","authenticated-orcid":false,"given":"Ana Rita","family":"Antunes","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1991-9418","authenticated-orcid":false,"given":"Ana Cristina","family":"Braga","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2219-1816","authenticated-orcid":false,"given":"Joaquim","family":"Gon\u00e7alves","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,7,23]]},"reference":[{"key":"38_CR1","unstructured":"Samouco, A.I., et al.: A Ci\u00eancia do Sono - Da Fisiologia \u00e0 (Psico)patologia. 1 ed. (2020)"},{"issue":"3","key":"38_CR2","doi-asserted-by":"publisher","first-page":"776","DOI":"10.1109\/TITB.2010.2044797","volume":"14","author":"JM Kortelainen","year":"2010","unstructured":"Kortelainen, J.M., Mendez, M.O., Bianchi, A.M., Matteucci, M., Cerutti, S.: Sleep staging based on signals acquired through bed sensor. IEEE Trans. Inf Technol. Biomed. 14(3), 776\u2013785 (2010)","journal-title":"IEEE Trans. Inf Technol. Biomed."},{"key":"38_CR3","doi-asserted-by":"crossref","unstructured":"Higgins, J.S., et al.: Asleep at the wheel-the road to addressing drowsy driving. Sleep 40(2) (2017)","DOI":"10.1093\/sleep\/zsx001"},{"issue":"1","key":"38_CR4","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1016\/j.sleep.2004.06.003","volume":"6","author":"TW Strine","year":"2005","unstructured":"Strine, T.W., Chapman, D.P.: Associations of frequent sleep insufficiency with health-related quality of life and health behaviors. Sleep Med. 6(1), 23\u201327 (2005)","journal-title":"Sleep Med."},{"key":"38_CR5","unstructured":"Altevogt, B.M., Colten, H.R., et al.: Sleep disorders and sleep deprivation: an unmet public health problem (2006)"},{"issue":"3","key":"38_CR6","doi-asserted-by":"publisher","first-page":"242","DOI":"10.1111\/jsr.12267","volume":"24","author":"M Gon\u00e7alves","year":"2015","unstructured":"Gon\u00e7alves, M., et al.: Sleepiness at the wheel across Europe: a survey of 19 countries. J. Sleep Res. 24(3), 242\u2013253 (2015)","journal-title":"J. Sleep Res."},{"issue":"2","key":"38_CR7","first-page":"51","volume":"46","author":"P Spurn\u1ef3","year":"2016","unstructured":"Spurn\u1ef3, P., Andr\u0161, J., Bouchner, P., Pu\u010del\u00edk, J., Rokyta, R.: Testing a system for predicting microsleep. L\u00e9ka\u0159 a technika-Clinician and Technology 46(2), 51\u201354 (2016)","journal-title":"L\u00e9ka\u0159 a technika-Clinician and Technology"},{"key":"38_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"366","DOI":"10.1007\/978-3-319-95165-2_26","volume-title":"Computational Science and Its Applications \u2013 ICCSA 2018","author":"AC Braga","year":"2018","unstructured":"Braga, A.C., et al.: Multivariate statistical process control based on principal component analysis: implementation of framework in R. In: Gervasi, O., et al. (eds.) ICCSA 2018. LNCS, vol. 10961, pp. 366\u2013381. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-95165-2_26"},{"issue":"6","key":"38_CR9","doi-asserted-by":"crossref","first-page":"1321","DOI":"10.1109\/TBME.2015.2512276","volume":"63","author":"K Fujiwara","year":"2015","unstructured":"Fujiwara, K., et al.: Epileptic seizure prediction based on multivariate statistical process control of heart rate variability features. IEEE Trans. Biomed. Eng. 63(6), 1321\u20131332 (2015)","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"1","key":"38_CR10","doi-asserted-by":"publisher","first-page":"10","DOI":"10.9746\/jcmsi.9.10","volume":"9","author":"E Abe","year":"2016","unstructured":"Abe, E., Fujiwara, K., Hiraoka, T., Yamakawa, T., Kano, M.: Development of drowsiness detection method by integrating heart rate variability analysis and multivariate statistical process control. SICE J. Control, Measur. Syst. Integr. 9(1), 10\u201317 (2016)","journal-title":"SICE J. Control, Measur. Syst. Integr."},{"issue":"1\u20132","key":"38_CR11","doi-asserted-by":"publisher","first-page":"29","DOI":"10.3109\/00207459008994241","volume":"52","author":"T \u00c5kerstedt","year":"1990","unstructured":"\u00c5kerstedt, T., Gillberg, M.: Subjective and objective sleepiness in the active individual. Int. J. Neurosci. 52(1\u20132), 29\u201337 (1990)","journal-title":"Int. J. Neurosci."},{"issue":"3","key":"38_CR12","doi-asserted-by":"publisher","first-page":"242","DOI":"10.1111\/jsr.12158","volume":"23","author":"T \u00c5kerstedt","year":"2014","unstructured":"\u00c5kerstedt, T., Anund, A., Axelsson, J., Kecklund, G.: Subjective sleepiness is a sensitive indicator of insufficient sleep and impaired waking function. J. Sleep Res. 23(3), 242\u2013254 (2014)","journal-title":"J. Sleep Res."},{"key":"38_CR13","doi-asserted-by":"crossref","unstructured":"Sahayadhas, A., Sundaraj, K., Murugappan, M.: Detecting driver drowsiness based on sensors: a review (2012)","DOI":"10.3390\/s121216937"},{"key":"38_CR14","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1016\/j.jsr.2009.04.005","volume":"4","author":"CC Liu","year":"2009","unstructured":"Liu, C.C., Hosking, S.G., Lenn\u00e9, M.G.: Predicting driver drowsiness using vehicle measures: recent insights and future challenges. J. Saf. Res. 4, 239\u2013245 (2009)","journal-title":"J. Saf. Res."},{"issue":"12","key":"38_CR15","first-page":"1433","volume":"3","author":"P Choudhary","year":"2016","unstructured":"Choudhary, P., Sharma, R., Singh, G., Das, S., et al.: A survey paper on drowsiness detection & alarm system for drivers. Int. Res. J. Eng. Technol. (IRJET) 3(12), 1433\u20131437 (2016)","journal-title":"Int. Res. J. Eng. Technol. (IRJET)"},{"key":"38_CR16","unstructured":"Fan, X., Yin, B.C., Sun, Y.F.: Yawning detection based on Gabor wavelets and LDA. Beijing Gongye Daxue Xuebao \/ J. Beijing Univ. Technol. (2009)"},{"key":"38_CR17","doi-asserted-by":"publisher","first-page":"575","DOI":"10.1142\/S021800140900720X","volume":"23","author":"BC Yin","year":"2009","unstructured":"Yin, B.C., Fan, X., Sun, Y.F.: Multiscale dynamic features based driver fatigue detection. Int. J. Pattern Recogn. Artifi. Intell. 23, 575\u2013589 (2009)","journal-title":"Int. J. Pattern Recogn. Artifi. Intell."},{"key":"38_CR18","unstructured":"Salles, A.F., et al.: Detec\u00e7\u00e3o autom\u00e1tica de sonol\u00eancia em condutores de ve\u00edculos utilizando redes neurais artificiais (2018)"},{"key":"38_CR19","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1109\/TBME.2010.2077291","volume":"58","author":"RN Khushaba","year":"2011","unstructured":"Khushaba, R.N., Kodagoda, S., Lal, S., Dissanayake, G.: Driver drowsiness classification using fuzzy wavelet-packet-based feature-extraction algorithm. IEEE Trans. Biomed. Eng. 58, 121\u2013131 (2011)","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"38_CR20","doi-asserted-by":"publisher","first-page":"2534","DOI":"10.1016\/j.eswa.2008.01.085","volume":"36","author":"MB Kurt","year":"2009","unstructured":"Kurt, M.B., Sezgin, N., Akin, M., Kirbas, G., Bayram, M.: The ANN-based computing of drowsy level. Expert Syst. Appl. 36, 2534\u20132542 (2009)","journal-title":"Expert Syst. Appl."},{"key":"38_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1088\/0967-3334\/28\/3\/R01","volume":"28","author":"J Allen","year":"2007","unstructured":"Allen, J.: Photoplethysmography and its application in clinical physiological measurement. Physiol. Meas. 28, 1\u201339 (2007)","journal-title":"Physiol. Meas."},{"key":"38_CR22","doi-asserted-by":"crossref","unstructured":"Rundo, J.V., Downey, R.: Polysomnography. In: Handbook of Clinical Neurology, vol. 160 (2019)","DOI":"10.1016\/B978-0-444-64032-1.00025-4"},{"issue":"6","key":"38_CR23","doi-asserted-by":"publisher","first-page":"540","DOI":"10.1093\/sleep\/14.6.540","volume":"14","author":"MW Johns","year":"1991","unstructured":"Johns, M.W.: A new method for measuring daytime sleepiness: the Epworth sleepiness scale. Sleep 14(6), 540\u2013545 (1991)","journal-title":"Sleep"},{"issue":"3","key":"38_CR24","doi-asserted-by":"publisher","first-page":"631","DOI":"10.1378\/chest.15-0903","volume":"149","author":"F Chung","year":"2016","unstructured":"Chung, F., Abdullah, H.R., Liao, P.: Stop-bang questionnaire: a practical approach to screen for obstructive sleep apnea. Chest 149(3), 631\u2013638 (2016)","journal-title":"Chest"},{"issue":"2","key":"38_CR25","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1016\/0165-1781(89)90047-4","volume":"28","author":"DJ Buysse","year":"1989","unstructured":"Buysse, D.J., Reynolds, C.F., III., Monk, T.H., Berman, S.R., Kupfer, D.J.: The Pittsburgh sleep quality index: a new instrument for psychiatric practice and research. Psychiatry Res. 28(2), 193\u2013213 (1989)","journal-title":"Psychiatry Res."},{"key":"38_CR26","unstructured":"Walker, M.: Why we sleep: unlocking the power of sleep and dreams (2017)"},{"issue":"3","key":"38_CR27","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1016\/0301-0511(77)90001-1","volume":"5","author":"JA Horne","year":"1977","unstructured":"Horne, J.A., \u00d6stberg, O.: Individual differences in human circadian rhythms. Biol. Psychol. 5(3), 179\u2013190 (1977)","journal-title":"Biol. Psychol."},{"issue":"4","key":"38_CR28","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1080\/08982110701621304","volume":"19","author":"A Ferrer","year":"2007","unstructured":"Ferrer, A.: Multivariate statistical process control based on principal component analysis (MSPC-PCA): some reflections and a case study in an autobody assembly process. Qual. Eng. 19(4), 311\u2013325 (2007)","journal-title":"Qual. Eng."},{"issue":"3","key":"38_CR29","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1111\/j.1751-5823.1997.tb00311.x","volume":"65","author":"JF MacGregor","year":"1997","unstructured":"MacGregor, J.F.: Using on-line process data to improve quality: challenges for statisticians. Int. Stat. Rev. 65(3), 309\u2013323 (1997)","journal-title":"Int. Stat. Rev."},{"issue":"3","key":"38_CR30","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1080\/00401706.1979.10489779","volume":"21","author":"JE Jackson","year":"1979","unstructured":"Jackson, J.E., Mudholkar, G.S.: Control procedures for residuals associated with principal component analysis. Technometrics 21(3), 341\u2013349 (1979)","journal-title":"Technometrics"},{"issue":"3","key":"38_CR31","doi-asserted-by":"publisher","first-page":"322","DOI":"10.1016\/j.jprocont.2010.10.005","volume":"21","author":"CF Alcala","year":"2011","unstructured":"Alcala, C.F., Qin, S.J.: Analysis and generalization of fault diagnosis methods for process monitoring. J. Process Control 21(3), 322\u2013330 (2011)","journal-title":"J. Process Control"},{"issue":"8","key":"38_CR32","doi-asserted-by":"publisher","first-page":"20873","DOI":"10.3390\/s150820873","volume":"15","author":"G Li","year":"2015","unstructured":"Li, G., Chung, W.-Y.: A context-aware EEG headset system for early detection of driver drowsiness. Sensors 15(8), 20873\u201320893 (2015)","journal-title":"Sensors"},{"key":"38_CR33","unstructured":"Leng, L.B., Giin, L.B., Chung, W.-Y.: Wearable driver drowsiness detection system based on biomedical and motion sensors. In: 2015 IEEE SENSORS, pp. 1\u20134. IEEE (2015)"},{"key":"38_CR34","doi-asserted-by":"crossref","unstructured":"Akhter, N., Tharewal, S., Gite, H., Kale, K.: Microcontroller based RR-interval measurement using PPG signals for heart rate variability based biometric application. In: 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp. 588\u2013593. IEEE (2015)","DOI":"10.1109\/ICACCI.2015.7275673"},{"key":"38_CR35","doi-asserted-by":"publisher","first-page":"258","DOI":"10.3389\/fpubh.2017.00258","volume":"5","author":"F Shaffer","year":"2017","unstructured":"Shaffer, F., Ginsberg, J.P.: An overview of heart rate variability metrics and norms. Frontiers in public health 5, 258 (2017)","journal-title":"Frontiers in public health"},{"key":"38_CR36","doi-asserted-by":"crossref","unstructured":"Pinheiro, N., et al.: Can PPG be used for HRV analysis? In: 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 2945\u20132949. IEEE (2016)","DOI":"10.1109\/EMBC.2016.7591347"},{"key":"38_CR37","doi-asserted-by":"crossref","unstructured":"Champseix, R., Ribiere, L., Le Couedic, C.: A python package for heart rate variability analysis and signal preprocessing. J. Open Res. Software 9(1) (2021)","DOI":"10.5334\/jors.305"},{"key":"38_CR38","volume-title":"Python 3 Reference Manual","author":"G Van Rossum","year":"2009","unstructured":"Van Rossum, G., Drake, F.L.: Python 3 Reference Manual. CreateSpace, Scotts Valley (2009)"},{"issue":"9","key":"38_CR39","first-page":"1","volume":"14","author":"W McKinney","year":"2011","unstructured":"McKinney, W., et al.: pandas: a foundational python library for data analysis and statistics. Python High Perform. Sci. Comput. 14(9), 1\u20139 (2011)","journal-title":"Python High Perform. Sci. Comput."},{"key":"38_CR40","doi-asserted-by":"crossref","unstructured":"Ari, N., Ustazhanov, M.: Matplotlib in python. In: 2014 11th International Conference on Electronics, Computer and Computation (ICECCO), pp. 1\u20136. IEEE (2014)","DOI":"10.1109\/ICECCO.2014.6997585"},{"key":"38_CR41","unstructured":"pca\u2019s documentation!. https:\/\/erdogant.github.io\/pca\/pages\/html\/index.html. Accessed 28 Mar 2022"},{"issue":"7825","key":"38_CR42","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1038\/s41586-020-2649-2","volume":"585","author":"CR Harris","year":"2020","unstructured":"Harris, C.R., et al.: Array programming with Numpy. Nature 585(7825), 357\u2013362 (2020)","journal-title":"Nature"},{"issue":"3","key":"38_CR43","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1038\/s41592-019-0686-2","volume":"17","author":"P Virtanen","year":"2020","unstructured":"Virtanen, P., et al.: Scipy 1.0: fundamental algorithms for scientific computing in python. Nat. Methods 17(3), 261\u2013272 (2020)","journal-title":"Nat. Methods"}],"container-title":["Lecture Notes in Computer Science","Computational Science and Its Applications \u2013 ICCSA 2022 Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-10536-4_38","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,29]],"date-time":"2024-09-29T17:15:39Z","timestamp":1727630139000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-10536-4_38"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031105357","9783031105364"],"references-count":43,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-10536-4_38","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":"23 July 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCSA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science and Its Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Malaga","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":"4 July 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 July 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccsa2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iccsa.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 4","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"279","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":"57","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":"24","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":"20% - 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":"2.6","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":"8.7","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)"}},{"value":"285 Workshop submission accepted out of 815 submissions","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)"}}]}}