{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T18:18:11Z","timestamp":1776363491534,"version":"3.51.2"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032184764","type":"print"},{"value":"9783032184771","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[[2026]]},"DOI":"10.1007\/978-3-032-18477-1_54","type":"book-chapter","created":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T17:08:37Z","timestamp":1776359317000},"page":"505-512","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Automated ECG Arrhythmia Classification Using CWT Scalogram Graph and Attention Networks"],"prefix":"10.1007","author":[{"given":"Sushmita Pramanik","family":"Dutta","sequence":"first","affiliation":[]},{"given":"Sriparna","family":"Saha","sequence":"additional","affiliation":[]},{"given":"Soamdeep","family":"Singha","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,4,17]]},"reference":[{"key":"54_CR1","unstructured":"Benjamin, E.J., et al.: Heart disease and stroke statistics\u20142019 update: a report from the American Heart Association. Circulation 139(10), e56\u2013e528 (2019)"},{"key":"54_CR2","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/j.ins.2017.04.012","volume":"405","author":"UR Acharya","year":"2017","unstructured":"Acharya, U.R., Fujita, H., Lih, O.S., Hagiwara, Y., Tan, J.H., Adam, M.: Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network. Inf. Sci. 405, 81\u201390 (2017)","journal-title":"Inf. Sci."},{"issue":"1","key":"54_CR3","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1038\/s41591-018-0268-3","volume":"25","author":"AY Hannun","year":"2019","unstructured":"Hannun, A.Y., et al.: Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network. Nat. Med. 25(1), 65\u201369 (2019)","journal-title":"Nat. Med."},{"key":"54_CR4","first-page":"230","volume":"3","author":"J Pan","year":"2007","unstructured":"Pan, J., Tompkins, W.J.: A real-time QRS detection algorithm. IEEE Trans. Biomed. Eng. 3, 230\u2013236 (2007)","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"5","key":"54_CR5","doi-asserted-by":"publisher","first-page":"437","DOI":"10.1016\/j.bspc.2013.01.005","volume":"8","author":"RJ Martis","year":"2013","unstructured":"Martis, R.J., Acharya, U.R., Min, L.C.: ECG beat classification using PCA, LDA, ICA and discrete wavelet transform. Biomed. Sig. Process. Control 8(5), 437\u2013448 (2013)","journal-title":"Biomed. Sig. Process. Control"},{"key":"54_CR6","unstructured":"Rajpurkar, P., Hannun, A.Y., Haghpanahi, M., Bourn, C., Ng, A.Y.: Cardiologist-level arrhythmia detection with convolutional neural networks. arXiv preprint arXiv:1707.01836 (2017)"},{"key":"54_CR7","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1016\/j.compbiomed.2018.03.016","volume":"96","author":"\u00d6 Yildirim","year":"2018","unstructured":"Yildirim, \u00d6.: A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification. Comput. Biol. Med. 96, 189\u2013202 (2018)","journal-title":"Comput. Biol. Med."},{"key":"54_CR8","unstructured":"Veli\u010dkovi\u0107, P., Cucurull, G., Casanova, A., Romero, A., Lio, P., Bengio, Y.: Graph attention networks. arXiv preprint arXiv:1710.10903 (2017)"},{"issue":"5","key":"54_CR9","doi-asserted-by":"publisher","first-page":"R155","DOI":"10.1088\/0967-3334\/26\/5\/R01","volume":"26","author":"PS Addison","year":"2005","unstructured":"Addison, P.S.: Wavelet transforms and the ECG: a review. Physiol. Meas. 26(5), R155 (2005)","journal-title":"Physiol. Meas."},{"key":"54_CR10","unstructured":"Moody, G.B., Mark, R.G.: MIT-BIH arrhythmia database (No Title) (1992)"},{"issue":"11","key":"54_CR11","doi-asserted-by":"publisher","first-page":"2445","DOI":"10.3390\/s17112445","volume":"17","author":"M Sadrawi","year":"2017","unstructured":"Sadrawi, M., et al.: Arrhythmia evaluation in wearable ECG devices. Sensors 17(11), 2445 (2017)","journal-title":"Sensors"},{"key":"54_CR12","doi-asserted-by":"crossref","unstructured":"Daubechies, I.: Ten lectures on wavelets. Soc. for Ind. Appl. Math. (1992)","DOI":"10.1137\/1.9781611970104"},{"key":"54_CR13","doi-asserted-by":"publisher","DOI":"10.1201\/9781315372556","volume-title":"The Illustrated Wavelet Transform Handbook: Introductory Theory and Applications in Science, Engineering, Medicine and Finance","author":"PS Addison","year":"2017","unstructured":"Addison, P.S.: The Illustrated Wavelet Transform Handbook: Introductory Theory and Applications in Science, Engineering, Medicine and Finance. CRC Press, Boca Raton (2017)"},{"key":"54_CR14","unstructured":"Sobel, I., Feldman, G.: A 3x3 isotropic gradient operator for image processing. A talk at the Stanford Artificial Project in, 1968, pp. 271\u2013272 (1968)"},{"key":"54_CR15","doi-asserted-by":"crossref","unstructured":"Ojala, T., Pietikainen, M., Maenpaa, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. Pattern Anal. Mach. Intell. 24(7), 971\u2013987.1 (2002)","DOI":"10.1109\/TPAMI.2002.1017623"},{"key":"54_CR16","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1016\/j.cmpb.2015.12.008","volume":"127","author":"EJDS Luz","year":"2016","unstructured":"Luz, E.J.D.S., Schwartz, W.R., C\u00e1mara-Ch\u00e1vez, G., Menotti, D.: ECG-based heartbeat classification for arrhythmia detection: a survey. Comput. Methods Programs Biomed. 127, 144\u2013164 (2016)","journal-title":"Comput. Methods Programs Biomed."},{"key":"54_CR17","doi-asserted-by":"publisher","first-page":"278","DOI":"10.1016\/j.compbiomed.2018.06.002","volume":"102","author":"SL Oh","year":"2018","unstructured":"Oh, S.L., Ng, E.Y., San Tan, R., Acharya, U.R.: Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats. Comput. Biol. Med. 102, 278\u2013287 (2018)","journal-title":"Comput. Biol. Med."}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Machine Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-18477-1_54","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T17:08:39Z","timestamp":1776359319000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-18477-1_54"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032184764","9783032184771"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-18477-1_54","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"17 April 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PReMI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Pattern Recognition and Machine Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Delhi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 December 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 December 2025","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":"premi2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/premi25-git-dev-ashirbad97s-projects.vercel.app\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}