{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T07:01:31Z","timestamp":1743058891124,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030164461"},{"type":"electronic","value":"9783030164478"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","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":[[2019]]},"DOI":"10.1007\/978-3-030-16447-8_3","type":"book-chapter","created":{"date-parts":[[2019,3,29]],"date-time":"2019-03-29T23:04:19Z","timestamp":1553900659000},"page":"27-36","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Compression-Based Classification of ECG Using First-Order Derivatives"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9829-7804","authenticated-orcid":false,"given":"Jo\u00e3o M.","family":"Carvalho","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8650-9219","authenticated-orcid":false,"given":"Susana","family":"Br\u00e1s","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9164-0016","authenticated-orcid":false,"given":"Armando J.","family":"Pinho","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,3,31]]},"reference":[{"issue":"4","key":"3_CR1","doi-asserted-by":"publisher","first-page":"1407","DOI":"10.1109\/18.681318","volume":"44","author":"C Bennett","year":"1998","unstructured":"Bennett, C., G\u00e1cs, P., Li, M.: Information distance. IEEE Trans. Inf. Theory 44(4), 1407\u20131423 (1998)","journal-title":"IEEE Trans. Inf. Theory"},{"key":"3_CR2","doi-asserted-by":"crossref","unstructured":"Br\u00e1s, S., Pinho, A.J.: ECG biometric identification: a compression based approach. In: 2015 37th Annual International Conference on IEEE Engineering in Medicine and Biology Society, August 2015, pp. 5838\u20135841 (2015)","DOI":"10.1109\/EMBC.2015.7319719"},{"key":"3_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1007\/978-3-319-58838-4_19","volume-title":"Pattern Recognition and Image Analysis","author":"JM Carvalho","year":"2017","unstructured":"Carvalho, J.M., Br\u00e3s, S., Ferreira, J., Soares, S.C., Pinho, A.J.: Impact of the acquisition time on ECG compression-based biometric identification systems. In: Alexandre, L.A., Salvador S\u00e1nchez, J., Rodrigues, J.M.F. (eds.) IbPRIA 2017. LNCS, vol. 10255, pp. 169\u2013176. Springer, Cham (2017). \n                    https:\/\/doi.org\/10.1007\/978-3-319-58838-4_19"},{"key":"3_CR4","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/j.patrec.2018.05.026","volume":"112","author":"JM Carvalho","year":"2018","unstructured":"Carvalho, J.M., Br\u00e1s, S., Pratas, D., Ferreira, J., Soares, S.C., Pinho, A.J.: Extended-alphabet finite-context models. Pattern Recogn. Lett. 112, 49\u201355 (2018)","journal-title":"Pattern Recogn. Lett."},{"issue":"2","key":"3_CR5","doi-asserted-by":"publisher","first-page":"503","DOI":"10.1016\/j.cmpb.2013.11.017","volume":"113","author":"HP Silva da","year":"2014","unstructured":"da Silva, H.P., Louren\u00e7o, A., Fred, A., Raposo, N., Aires-de Sousa, M.: Check Your biosignals here: a new dataset for off-the-person ECG biometrics. Comput. Meth. Programs Biomed. 113(2), 503\u2013514 (2014)","journal-title":"Comput. Meth. Programs Biomed."},{"key":"3_CR6","doi-asserted-by":"publisher","first-page":"620","DOI":"10.1111\/psyp.12808","volume":"54","author":"J Ferreira","year":"2017","unstructured":"Ferreira, J., Br\u00e1s, S., Silva, C.F., Soares, S.C.: An automatic classifier of emotions built from entropy of noise. Psychophysiology 54, 620\u2013627 (2017)","journal-title":"Psychophysiology"},{"key":"3_CR7","unstructured":"Gonzalez, R.C., Woods, R.E.: Sampling and quantization. In: Digital Image Processing. Prentice Hall PTR, Upper Saddle River (2007)"},{"key":"3_CR8","doi-asserted-by":"crossref","unstructured":"Karimian, N., Wortman, P.A., Tehranipoor, F.: Evolving authentication design considerations for the internet of biometric things (IoBT). In: Proceedings of the Eleventh IEEE\/ACM\/IFIP International Conference on Hardware\/Software Codesign and System Synthesis - CODES 2016, pp. 1\u201310. ACM Press, New York (2016)","DOI":"10.1145\/2968456.2973748"},{"issue":"4","key":"3_CR9","doi-asserted-by":"publisher","first-page":"408","DOI":"10.1007\/s13239-011-0065-3","volume":"2","author":"P Kathirvel","year":"2011","unstructured":"Kathirvel, P., Sabarimalai, M., Prasanna, S.R.M., Soman, K.P.: An efficient R-peak detection based on new nonlinear transformation and first-order Gaussian differentiator. Cardiovasc. Eng. Technol. 2(4), 408\u2013425 (2011)","journal-title":"Cardiovasc. Eng. Technol."},{"key":"3_CR10","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-49820-1","volume-title":"An Introduction to Kolmogorov Complexity and Its Applications","author":"M Li","year":"1997","unstructured":"Li, M., Vit\u00e1nyi, P.: An Introduction to Kolmogorov Complexity and Its Applications, 3rd edn. Springer, New York (1997). \n                    https:\/\/doi.org\/10.1007\/978-0-387-49820-1","edition":"3"},{"key":"3_CR11","doi-asserted-by":"crossref","unstructured":"Pinho, A., Ferreira, P.: Image similarity using the normalized compression distance based on finite context models. In: 18th IEEE International Conference on Image Processing (2011)","DOI":"10.1109\/ICIP.2011.6115866"},{"key":"3_CR12","doi-asserted-by":"crossref","unstructured":"Pinho, A.J., Pratas, D., Ferreira, P.J.S.G.: Authorship Attribution using Compression Distances. In: Data Compression Conference (2016)","DOI":"10.1109\/DCC.2016.53"},{"key":"3_CR13","doi-asserted-by":"crossref","unstructured":"Pratas, D., Pinho, A.J.: A conditional compression distance that unveils insights of the genomic evolution. In: 2014 Data Compression Conference, March 2014, pp. 421\u2013421. IEEE (2014)","DOI":"10.1109\/DCC.2014.58"},{"key":"3_CR14","volume-title":"Introduction to Data Compression","author":"K Sayood","year":"2000","unstructured":"Sayood, K.: Introduction to Data Compression. Morgan Kaufmann Publishers, Burlington (2000)"},{"issue":"11","key":"3_CR15","doi-asserted-by":"publisher","first-page":"2002","DOI":"10.1109\/TIFS.2014.2360430","volume":"9","author":"S Wahabi","year":"2014","unstructured":"Wahabi, S., Pouryayevali, S., Hari, S., Hatzinakos, D.: On evaluating ECG biometric systems: session-dependence and body posture. IEEE Trans. Inf. Forensics Secur. 9(11), 2002\u20132013 (2014)","journal-title":"IEEE Trans. Inf. Forensics Secur."}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Intelligent Technologies for Interactive Entertainment"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-16447-8_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,21]],"date-time":"2019-05-21T01:41:07Z","timestamp":1558402867000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-16447-8_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030164461","9783030164478"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-16447-8_3","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"31 March 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"INTETAIN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Technologies for Interactive Entertainment","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guimar\u00e3es","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 November 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 November 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"intetain2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.allconferencealert.org\/intetain-2018\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Open","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"confy.eai.eu","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"23","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"15","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"65% - 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"}},{"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"}},{"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"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}}]}}