{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T16:59:10Z","timestamp":1779382750677,"version":"3.53.1"},"reference-count":45,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2023,1,11]],"date-time":"2023-01-11T00:00:00Z","timestamp":1673395200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,11]],"date-time":"2023-01-11T00:00:00Z","timestamp":1673395200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100000274","name":"British Heart Foundation","doi-asserted-by":"publisher","award":["PG\/19\/78\/34733"],"award-info":[{"award-number":["PG\/19\/78\/34733"]}],"id":[{"id":"10.13039\/501100000274","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Med Biol Eng Comput"],"published-print":{"date-parts":[[2023,5]]},"DOI":"10.1007\/s11517-022-02753-3","type":"journal-article","created":{"date-parts":[[2023,1,11]],"date-time":"2023-01-11T23:02:19Z","timestamp":1673478139000},"page":"911-926","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Automated multi-beat tissue Doppler echocardiography analysis using deep neural networks"],"prefix":"10.1007","volume":"61","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7256-3668","authenticated-orcid":false,"given":"Elisabeth S.","family":"Lane","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jevgeni","family":"Jevsikov","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthew J.","family":"Shun-shin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Niti","family":"Dhutia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nasser","family":"Matoorian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Graham D.","family":"Cole","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Darrel P.","family":"Francis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Massoud","family":"Zolgharni","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,1,11]]},"reference":[{"issue":"2","key":"2753_CR1","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1067\/mje.2002.120202","volume":"15","author":"M Qui\u00f1ones","year":"2002","unstructured":"Qui\u00f1ones M, Otto C, Stoddard M, Waggoner A, Zoghbi W (2002) Recommendations for quantification of Doppler echocardiography: a report from the Doppler quantification task force of the nomenclature and standards committee of the American Society of Echocardiography. J Am Soc Echocardiogr 15(2):167\u2013184","journal-title":"J Am Soc Echocardiogr"},{"issue":"4","key":"2753_CR2","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1016\/j.echo.2016.01.011","volume":"29","author":"S Nagueh","year":"2016","unstructured":"Nagueh S, Smiseth O, Appleton C, Byrd B, Dokainish H, Edvardsen T, Flachskampf F, Gillebert T, Klein A, Lancellotti P, Marino P, Oh J, Popescu B, Waggoner A (2016) Recommendations for the evaluation of left ventricular diastolic function by echocardiography: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. J Am Soc Echocardiogr 29(4):277\u2013314","journal-title":"J Am Soc Echocardiogr"},{"key":"2753_CR3","doi-asserted-by":"crossref","unstructured":"Ho CY, Solomon SD (2006) A clinician's guide to tissue Doppler imaging. Circulation 113(10):e396\u2013e398","DOI":"10.1161\/CIRCULATIONAHA.105.579268"},{"issue":"21","key":"2753_CR4","doi-asserted-by":"publisher","first-page":"1642","DOI":"10.1093\/eurheartj\/ehv510","volume":"37","author":"M Cikes","year":"2015","unstructured":"Cikes M, Solomon S (2015) Beyond ejection fraction: an integrative approach for assessment of cardiac structure and function in heart failure. Eur Heart J 37(21):1642\u20131650","journal-title":"Eur Heart J"},{"key":"2753_CR5","doi-asserted-by":"crossref","unstructured":"Kadappu KK, Thomas L (2015) Tissue Doppler imaging in echocardiography: value and limitations. Heart Lung Circ 24(3):224\u2013233","DOI":"10.1016\/j.hlc.2014.10.003"},{"issue":"6","key":"2753_CR6","doi-asserted-by":"publisher","first-page":"775","DOI":"10.1136\/hrt.2005.067140","volume":"92","author":"N Nikitin","year":"2005","unstructured":"Nikitin N (2005) Prognostic value of systolic mitral annular velocity measured with Doppler tissue imaging in patients with chronic heart failure caused by left ventricular systolic dysfunction. Heart 92(6):775\u2013779","journal-title":"Heart"},{"issue":"2","key":"2753_CR7","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1093\/ejechocard\/jep007","volume":"10","author":"S Nagueh","year":"2008","unstructured":"Nagueh S, Appleton C, Gillebert T, Marino P, Oh J, Smiseth O, Waggoner A, Flachskampf F, Pellikka P, Evangelisa A (2008) Recommendations for the evaluation of left ventricular diastolic function by echocardiography. Eur J Echocardiogr 10(2):165\u20131938","journal-title":"Eur J Echocardiogr"},{"issue":"4","key":"2753_CR8","doi-asserted-by":"publisher","first-page":"340","DOI":"10.1053\/euhj.2000.2296","volume":"22","author":"J Meluz\u00edn","year":"2001","unstructured":"Meluz\u00edn J (2001) Pulsed Doppler tissue imaging of the velocity of tricuspid annular systolic motion. A new, rapid, and non-invasive method of evaluating right ventricular systolic function. Eur Heart J 22(4):340\u2013348","journal-title":"Eur Heart J"},{"issue":"4","key":"2753_CR9","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1016\/S0894-7317(02)74537-9","volume":"16","author":"T Yamamoto","year":"2003","unstructured":"Yamamoto T, Oki T, Yamada H, Tanaka H, Ishimoto T, Wakatsuki T, Tabata T, Ito S (2003) Prognostic value of the atrial systolic mitral annular motion velocity in patients with left ventricular systolic dysfunction. J Am Soc Echocardiogr 16(4):333\u2013339","journal-title":"J Am Soc Echocardiogr"},{"issue":"7","key":"2753_CR10","doi-asserted-by":"publisher","first-page":"828","DOI":"10.1093\/ehjci\/jeu062","volume":"15","author":"F Flachskampf","year":"2014","unstructured":"Flachskampf F, Martensson M (2014) How should tissue Doppler tracings be measured? Eur Heart J - Cardiovasc Imaging 15(7):828\u2013829","journal-title":"Eur Heart J - Cardiovasc Imaging"},{"issue":"7","key":"2753_CR11","doi-asserted-by":"publisher","first-page":"817","DOI":"10.1093\/ehjci\/jeu040","volume":"15","author":"N Dhutia","year":"2014","unstructured":"Dhutia N, Zolgharni M, Willson K, Cole G, Nowbar A, Dawson D, Zielke S, Whelan C, Newton J, Mayet J, Manisty C, Francis D (2014) Guidance for accurate and consistent tissue Doppler velocity measurement: comparison of echocardiographic methods using a simple vendor-independent method for local validation. Eur Heart Jo - Cardiovasc Imaging 15(7):817\u2013827","journal-title":"Eur Heart Jo - Cardiovasc Imaging"},{"issue":"5","key":"2753_CR12","doi-asserted-by":"publisher","first-page":"972.e1","DOI":"10.1016\/j.jvs.2005.07.014","volume":"42","author":"E Lui","year":"2005","unstructured":"Lui E, Steinman A, Cobbold R, Johnston K (2005) Human factors as a source of error in peak Doppler velocity measurement. J Vasc Surg 42(5):972.e1-972.e10","journal-title":"J Vasc Surg"},{"key":"2753_CR13","unstructured":"Matthew T, Steeds R, Jones R, Kanagala P, Lloyd G, Knight D, O\u2019Gallagher K, Oxborough D, Rana B, Ring L, Sandoval J, Wharton G, Wheeler R (2013) ECHO - The Journal of the British Society of Echocardiography, pp 1\u20136"},{"issue":"4","key":"2753_CR14","doi-asserted-by":"publisher","first-page":"1524","DOI":"10.1016\/j.ijcard.2012.04.105","volume":"167","author":"J Finegold","year":"2013","unstructured":"Finegold J, Manisty C, Cecaro F, Sutaria N, Mayet J, Francis D (2013) Choosing between velocity-time-integral ratio and peak velocity ratio for calculation of the dimensionless index (or aortic valve area) in serial follow-up of aortic stenosis. Int J Cardiol 167(4):1524\u20131531","journal-title":"Int J Cardiol"},{"issue":"1","key":"2753_CR15","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1093\/ehjci\/jes085","volume":"14","author":"A Testuz","year":"2012","unstructured":"Testuz A, Muller H, Keller P, Meyer P, Stampfli T, Sekoranja L, Vuille C, Burri H (2012) Diagnostic accuracy of pocket-size handheld echocardiographs used by cardiologists in the acute care setting. Eur Heart J - Cardiovasc Imaging 14(1):38\u201342","journal-title":"Eur Heart J - Cardiovasc Imaging"},{"issue":"7","key":"2753_CR16","doi-asserted-by":"publisher","first-page":"956","DOI":"10.1111\/echo.13587","volume":"34","author":"M Zolgharni","year":"2017","unstructured":"Zolgharni M, Negoita M, Dhutia N, Mielewczik M, Manoharan K, Sohaib S, Finegold J, Sacchi S, Cole G, Francis D (2017) Automatic detection of end-diastolic and end-systolic frames in 2D echocardiography. Echocardiogr 34(7):956\u2013967","journal-title":"Echocardiogr"},{"key":"2753_CR17","doi-asserted-by":"publisher","first-page":"104373","DOI":"10.1016\/j.compbiomed.2021.104373","volume":"133","author":"E Lane","year":"2021","unstructured":"Lane E, Azarmehr N, Jevsikov J, Howard J, Shun-shin M, Cole G, Francis D, Zolgharni M (2021) Multibeat echocardiographic phase detection using deep neural networks. Comput Biol Med 133:104373","journal-title":"Comput Biol Med"},{"key":"2753_CR18","doi-asserted-by":"crossref","unstructured":"Zolgharni M et al (2014) Automated aortic Doppler flow tracing for reproducible research and clinical measurements. In: IEEE transactions on medical imaging\u00a033(5):1071\u20131082","DOI":"10.1109\/TMI.2014.2303782"},{"key":"2753_CR19","doi-asserted-by":"crossref","unstructured":"Kiruthika NV, Prabhakar B, Reddy\u00a0MR (2006) Automated assessment of aortic regurgitation using 2D Doppler echocardiogram. In: Proceedings of the 2006 IEEE international workshop on imagining systems and techniques\u00a0(IST 2006),\u00a0pp 95\u201399","DOI":"10.1109\/IST.2006.1650783"},{"key":"2753_CR20","unstructured":"Biradar N, Dewal ML, Rohit MK (2015) Automated delineation of Doppler echocardiographic images using texture filters.\u00a02015 2nd international conference on computing for sustainable global development (INDIACom), pp\u00a01903\u20131907"},{"key":"2753_CR21","doi-asserted-by":"crossref","unstructured":"Taebi A, Sandler RH, Kakavand\u00a0B, Mansy\u00a0HA (2018) Estimating peak velocity profiles from Doppler echocardiography using digital image processing. In:\u00a02018 IEEE signal processing in medicine and biology symposium (SPMB),\u00a0pp 1\u20134","DOI":"10.1109\/SPMB.2018.8615618"},{"issue":"8","key":"2753_CR22","doi-asserted-by":"publisher","first-page":"1135","DOI":"10.1007\/s10554-017-1092-4","volume":"33","author":"N Dhutia","year":"2017","unstructured":"Dhutia N, Zolgharni M, Mielewczik M, Negoita M, Sacchi S, Manoharan K, Francis D, Cole G (2017) Open-source, vendor-independent, automated multi-beat tissue Doppler echocardiography analysis. Int J Cardiovasc Imaging 33(8):1135\u20131148","journal-title":"Int J Cardiovasc Imaging"},{"key":"2753_CR23","unstructured":"Kalini\u0107 H, Lon\u010dari\u0107 S, \u010cike\u0161 M, Mili\u010di\u0107\u00a0D, Bijnens\u00a0B (2011) Model-based segmentation of aortic ultrasound images. In:\u00a02011 7th international symposium on image and signal processing and analysis (ISPA), pp 739\u2013743"},{"key":"2753_CR24","unstructured":"Higa M, Pilon P, Lage S, Gutierrez M (2009) A computational tool for quantitative assessment of peripheral arteries in ultrasound images. In: 2009 36th annual computers in cardiology conference (CinC), pp 41\u201344"},{"key":"2753_CR25","doi-asserted-by":"crossref","unstructured":"Magagnin V, Caiani EG, Delfino L, Champlon C, Cerutti S, Turiel M (2006) Semi-automated analysis of coronary flow Doppler images: validation with manual tracings. In: 2006 international conference of the IEEE engineering in medicine and biology society, pp 719\u2013722","DOI":"10.1109\/IEMBS.2006.260704"},{"issue":"8","key":"2753_CR26","doi-asserted-by":"publisher","first-page":"1031","DOI":"10.1016\/j.ultrasmedbio.2005.04.016","volume":"31","author":"H Greenspan","year":"2005","unstructured":"Greenspan H, Shechner O, Scheinowitz M, Feinberg M (2005) Doppler echocardiography flow-velocity image analysis for patients with atrial fibrillation. Ultrasound Med Biol 31(8):1031\u20131040","journal-title":"Ultrasound Med Biol"},{"issue":"9","key":"2753_CR27","doi-asserted-by":"publisher","first-page":"1513","DOI":"10.1016\/j.ultrasmedbio.2010.05.021","volume":"36","author":"E Gaillard","year":"2010","unstructured":"Gaillard E, Kadem L, Clavel M, Pibarot P, Durand L (2010) Optimization of Doppler echocardiographic velocity measurements using an automatic contour detection method. Ultrasound Med Biol 36(9):1513\u20131524","journal-title":"Ultrasound Med Biol"},{"key":"2753_CR28","doi-asserted-by":"publisher","unstructured":"Zamzmi G, Hsu L-Y, Li W, Sachdev V, Antani S (2020) Fully automated spectral envelope and peak velocity detection from Doppler echocardiography images. In: Proc. SPIE 11314, Medical imaging 2020: computer-aided diagnosis, p 113144G.\u00a0https:\/\/doi.org\/10.1117\/12.2551183","DOI":"10.1117\/12.2551183"},{"key":"2753_CR29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.bspc.2015.12.004","volume":"26","author":"S Zhu","year":"2016","unstructured":"Zhu S, Gao R (2016) A novel generalized gradient vector flow snake model using minimal surface and component-normalized method for medical image segmentation. Biomed Signal Process Control 26:1\u201310","journal-title":"Biomed Signal Process Control"},{"issue":"3","key":"2753_CR30","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1016\/j.cmpb.2010.11.001","volume":"106","author":"H Kalini\u0107","year":"2012","unstructured":"Kalini\u0107 H, Lon\u010dari\u0107 S, \u010cike\u0161 M, Mili\u010di\u0107 D, Bijnens B (2012) Image registration and atlas-based segmentation of cardiac outflow velocity profiles. Comput Methods Programs Biomed 106(3):188\u2013200","journal-title":"Comput Methods Programs Biomed"},{"key":"2753_CR31","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1016\/j.bspc.2017.09.003","volume":"40","author":"V Bali\u010devi\u0107","year":"2018","unstructured":"Bali\u010devi\u0107 V, Kalini\u0107 H, Lon\u010dari\u0107 S, \u010cike\u0161 M, Bijnens B (2018) A computational model-based approach for atlas construction of aortic Doppler velocity profiles for segmentation purposes. Biomed Signal Process Control 40:23\u201332","journal-title":"Biomed Signal Process Control"},{"key":"2753_CR32","doi-asserted-by":"publisher","unstructured":"Park J, Zhou SK, Jackson J, Comaniciu D (2008) Automatic mitral valve inflow measurements from Doppler echocardiography. In: Metaxas D, Axel L, Fichtinger G, Sz\u00e9kely G (eds) Medical image computing and computer-assisted intervention \u2013 MICCAI 2008\u00a0(MICCAI).\u00a0Lecture notes in computer science, vol 5241. Springer, Berlin, Heidelberg. https:\/\/doi.org\/10.1007\/978-3-540-85988-8_117","DOI":"10.1007\/978-3-540-85988-8_117"},{"key":"2753_CR33","doi-asserted-by":"publisher","unstructured":"Zhou SK et al (2007) A probabilistic, hierarchical, and discriminant framework for rapid and accurate detection of deformable anatomic structure. In: 2007 IEEE 11th international conference on computer vision,\u00a0pp 1\u20138. https:\/\/doi.org\/10.1109\/ICCV.2007.4409045","DOI":"10.1109\/ICCV.2007.4409045"},{"key":"2753_CR34","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1109\/RBME.2020.2988295","volume":"14","author":"G Zamzmi","year":"2021","unstructured":"Zamzmi G, Hsu L, Li W, Sachdev V, Antani S (2021) Harnessing machine intelligence in automatic echocardiogram analysis: current status, limitations, and future directions. IEEE Rev Biomed Eng 14:181\u2013203","journal-title":"IEEE Rev Biomed Eng"},{"issue":"5","key":"2753_CR35","doi-asserted-by":"publisher","first-page":"1071","DOI":"10.1109\/TMI.2014.2303782","volume":"33","author":"M Zolgharni","year":"2014","unstructured":"Zolgharni M, Francis D, Dhutia N, Cole G, Bahmanyar M, Jones S, Sohaib S, Tai S, Willson K, Finegold J (2014) Automated aortic Doppler flow tracing for reproducible research and clinical measurements. IEEE Trans Med Imaging 33(5):1071\u20131082","journal-title":"IEEE Trans Med Imaging"},{"key":"2753_CR36","doi-asserted-by":"crossref","unstructured":"He K, Gkioxari G, Doll\u00e1r P, Girshick RB (2017) Mask R-CNN. In: 2017 IEEE international conference on computer vision (ICCV), pp 2980\u20132988","DOI":"10.1109\/ICCV.2017.322"},{"key":"2753_CR37","unstructured":"Abdulla W (2017) Matterport\/MASK_RCNN: mask R-CNN for object detection and instance segmentation on Keras and tensorflow, GitHub repository. Available at: https:\/\/github.com\/matterport\/Mask_RCNN. Accessed 3 Jan\u00a02023"},{"issue":"6","key":"2753_CR38","doi-asserted-by":"publisher","first-page":"1137","DOI":"10.1109\/TPAMI.2016.2577031","volume":"39","author":"S Ren","year":"2017","unstructured":"Ren S, He K, Girshick R, Sun J (2017) Faster R-CNN: towards real-time object detection with region proposal networks. IEEE Trans Pattern Anal Mach Intell 39(6):1137\u20131149","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"2753_CR39","unstructured":"Lin T-Y et al (2014)\u00a0Microsoft COCO: common objects in context. CoRR, abs\/1405.0312. Available at: http:\/\/arxiv.org\/abs\/1405.0312"},{"key":"2753_CR40","doi-asserted-by":"publisher","unstructured":"Belagiannis V, Zisserman A (2017) Recurrent human pose estimation. In: 2017 12th IEEE international conference on automatic face & gesture recognition (FG 2017),\u00a0pp 468\u2013475.\u00a0https:\/\/doi.org\/10.1109\/FG.2017.64","DOI":"10.1109\/FG.2017.64"},{"key":"2753_CR41","unstructured":"Abadi M, Agarwal A, Barham P, Brevdo E, Chen Z, Citro , Corrado GS, Davis A, Dean J, Devin M, Ghemawat S, Goodfellow I, Harp A, Irving G, Isard M, Jozefowicz R, Jia Y, Kaiser L, Kudlur M, Levenberg J, Man\u00e9 D, Schuster M, Monga R, Moore S, Murray D, Olah C, Shlens J, Steiner B, Sutskever I, Talwar K, Tucker P, Vanhoucke V, Vasudevan V, Vi\u00e9gas F, Vinyals O, Warden P, Wattenberg M, Wicke M, Yu Y, Zheng X (2015) TensorFlow: large-scale machine learning on heterogeneous systems. Software available from http:\/\/tensorflow.org"},{"key":"2753_CR42","doi-asserted-by":"crossref","unstructured":"Girshick R (2015)\u00a0Fast r-cnn. In: Proceedings of the IEEE international conference on computer vision, pp 1440\u20131448","DOI":"10.1109\/ICCV.2015.169"},{"key":"2753_CR43","unstructured":"Kingma D, Ba J (2015) Adam: a method for stochastic optimization. In: Proceedings of the 3rd international conference on learning representations (ICLR 2015)"},{"issue":"12","key":"2753_CR44","doi-asserted-by":"publisher","first-page":"1380","DOI":"10.1093\/ehjci\/jex218","volume":"19","author":"S Sacchi","year":"2018","unstructured":"Sacchi S, Dhutia N, Shun-Shin M, Zolgharni M, Sutaria N, Francis D, Cole G (2018) Doppler assessment of aortic stenosis: a 25-operator study demonstrating why reading the peak velocity is superior to velocity time integral. Eur Heart J - Cardiovasc Imaging 19(12):1380\u20131389","journal-title":"Eur Heart J - Cardiovasc Imaging"},{"issue":"6","key":"2753_CR45","doi-asserted-by":"publisher","first-page":"492","DOI":"10.1016\/S0894-7317(99)70086-6","volume":"12","author":"D Vinereanu","year":"1999","unstructured":"Vinereanu D, Khokhar A, Fraser A (1999) Reproducibility of pulsed wave tissue Doppler echocardiography. J Am Soc Echocardiogr 12(6):492\u2013499","journal-title":"J Am Soc Echocardiogr"}],"container-title":["Medical &amp; Biological Engineering &amp; Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-022-02753-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11517-022-02753-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-022-02753-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,10]],"date-time":"2023-04-10T01:09:00Z","timestamp":1681088940000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11517-022-02753-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,11]]},"references-count":45,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2023,5]]}},"alternative-id":["2753"],"URL":"https:\/\/doi.org\/10.1007\/s11517-022-02753-3","relation":{},"ISSN":["0140-0118","1741-0444"],"issn-type":[{"value":"0140-0118","type":"print"},{"value":"1741-0444","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1,11]]},"assertion":[{"value":"21 July 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 December 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 January 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}