{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T01:33:58Z","timestamp":1783474438900,"version":"3.55.0"},"publisher-location":"Cham","reference-count":9,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031665349","type":"print"},{"value":"9783031665356","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\/978-3-031-66535-6_27","type":"book-chapter","created":{"date-parts":[[2024,7,26]],"date-time":"2024-07-26T12:03:45Z","timestamp":1721995425000},"page":"249-253","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Quasi-Orthogonal ECG-Frank XYZ Transformation with\u00a0Energy-Based Models and\u00a0Clinical Text"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5010-7733","authenticated-orcid":false,"given":"Lorenzo","family":"Simone","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5213-2468","authenticated-orcid":false,"given":"Davide","family":"Bacciu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8567-9328","authenticated-orcid":false,"given":"Vincenzo","family":"Gervasi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,7,25]]},"reference":[{"issue":"4","key":"27_CR1","doi-asserted-by":"publisher","first-page":"605","DOI":"10.1161\/01.CIR.8.4.605","volume":"8","author":"G Burch","year":"1953","unstructured":"Burch, G., Abildskov, J., Cronvich, J.: Vectorcardiography. Circulation 8(4), 605\u2013613 (1953)","journal-title":"Circulation"},{"issue":"2","key":"27_CR2","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1002\/clc.1980.3.2.87","volume":"3","author":"GE Dower","year":"1980","unstructured":"Dower, G.E., Machado, H.B., Osborne, J.: On deriving the electrocardiogram from vectorcardiographic leads. Clin. Cardiol. 3(2), 87\u201395 (1980)","journal-title":"Clin. Cardiol."},{"issue":"23","key":"27_CR3","doi-asserted-by":"publisher","first-page":"e215","DOI":"10.1161\/01.CIR.101.23.e215","volume":"101","author":"A Goldberger","year":"2000","unstructured":"Goldberger, A., et al.: Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals. Circulation 101(23), e215\u2013e220 (2000)","journal-title":"Circulation"},{"key":"27_CR4","unstructured":"Guillem, M., Sahakian, A.V., Swiryn, S.: Derivation of orthogonal leads from the 12-lead ECG. accuracy of a single transform for the derivation of atrial and ventricular waves. In: 2006 Computers in Cardiology, pp. 249\u2013252. IEEE (2006)"},{"issue":"12","key":"27_CR5","doi-asserted-by":"publisher","first-page":"1083","DOI":"10.1093\/oxfordjournals.eurheartj.a059647","volume":"11","author":"J Kors","year":"1990","unstructured":"Kors, J., Van Herpen, G., Sittig, A., Van Bemmel, J.: Reconstruction of the frank vectorcardiogram from standard electrocardiographic leads: diagnostic comparison of different methods. Eur. Heart J. 11(12), 1083\u20131092 (1990)","journal-title":"Eur. Heart J."},{"key":"27_CR6","doi-asserted-by":"crossref","unstructured":"LeCun, Y., Chopra, S., Hadsell, R., Ranzato, M., Huang, F.: A tutorial on energy-based learning. Predicting Structured Data 1(0) (2006)","DOI":"10.7551\/mitpress\/7443.003.0014"},{"issue":"4","key":"27_CR7","doi-asserted-by":"publisher","first-page":"1234","DOI":"10.1093\/bioinformatics\/btz682","volume":"36","author":"J Lee","year":"2020","unstructured":"Lee, J., et al.: BioBERT: a pre-trained biomedical language representation model for biomedical text mining. Bioinformatics 36(4), 1234\u20131240 (2020)","journal-title":"Bioinformatics"},{"key":"27_CR8","doi-asserted-by":"crossref","unstructured":"Riera, A.R.P., et al.: Significance of vectorcardiogram in the cardiological diagnosis of the 21st century. Clin. Cardiol. 30(7), 319 (2007)","DOI":"10.1002\/clc.14"},{"issue":"1","key":"27_CR9","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1016\/S0002-9149(87)80083-8","volume":"59","author":"JL Willems","year":"1987","unstructured":"Willems, J.L., Lesaffre, E., Pardaens, J.: Comparison of the classification ability of the electrocardiogram and vectorcardiogram. Am. J. Cardiol. 59(1), 119\u2013124 (1987)","journal-title":"Am. J. Cardiol."}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-66535-6_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,26]],"date-time":"2024-07-26T12:11:10Z","timestamp":1721995870000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-66535-6_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031665349","9783031665356"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-66535-6_27","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":"25 July 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIME","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Intelligence in Medicine","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Salt Lake City, UT","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","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":"9 July 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 July 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aime2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aime24.aimedicine.info\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}