{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T13:16:18Z","timestamp":1740143778457,"version":"3.37.3"},"reference-count":53,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2022,1,19]],"date-time":"2022-01-19T00:00:00Z","timestamp":1642550400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,19]],"date-time":"2022-01-19T00:00:00Z","timestamp":1642550400000},"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":["Med Biol Eng Comput"],"published-print":{"date-parts":[[2022,3]]},"DOI":"10.1007\/s11517-021-02491-y","type":"journal-article","created":{"date-parts":[[2022,1,19]],"date-time":"2022-01-19T07:04:35Z","timestamp":1642575875000},"page":"739-751","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Quantifying neonatal patient effort using non-invasive model-based methods"],"prefix":"10.1007","volume":"60","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9095-9252","authenticated-orcid":false,"given":"Kyeong Tae","family":"Kim","sequence":"first","affiliation":[]},{"given":"Jennifer","family":"Knopp","sequence":"additional","affiliation":[]},{"given":"Bronwyn","family":"Dixon","sequence":"additional","affiliation":[]},{"given":"J. Geoffrey","family":"Chase","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,1,19]]},"reference":[{"issue":"2","key":"2491_CR1","doi-asserted-by":"publisher","first-page":"F190","DOI":"10.1136\/archdischild-2017-314320","volume":"103","author":"G Hendriks","year":"2018","unstructured":"Hendriks G, Stephenson R, Yajamanyam PK (2018) Current practice in early management of neonatal respiratory distress syndrome: Is it evidence-based? Arch Dis Child Fetal Neonatal Ed 103(2):F190\u2013F191","journal-title":"Arch Dis Child Fetal Neonatal Ed"},{"issue":"4","key":"2491_CR2","doi-asserted-by":"publisher","first-page":"402","DOI":"10.1159\/000297773","volume":"97","author":"DG Sweet","year":"2010","unstructured":"Sweet DG et al (2010) European consensus guidelines on the management of neonatal respiratory distress syndrome in preterm infants - 2010 update. Neonatology 97(4):402\u2013417","journal-title":"Neonatology"},{"issue":"4","key":"2491_CR3","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1542\/peds.50.4.515","volume":"50","author":"GC Liggins","year":"1972","unstructured":"Liggins GC, Howie RN, Liggins GC, Howie RN (1972) A controlled trial of antepartum glucocorticoid treatment for prevention of the respiratory distress syndrome in premature infants. Pediatrics 50(4):515\u2013525","journal-title":"Pediatrics"},{"issue":"12","key":"2491_CR4","doi-asserted-by":"publisher","first-page":"861","DOI":"10.1056\/NEJM199303253281208","volume":"328","author":"AJJ Wood","year":"1993","unstructured":"Wood AJJ, Jobe AH (1993) Pulmonary Surfactant Therapy. N Engl J Med 328(12):861\u2013868","journal-title":"N Engl J Med"},{"issue":"3","key":"2491_CR5","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1515\/JPM.2007.048","volume":"35","author":"D Sweet","year":"2007","unstructured":"Sweet D et al (2007) European consensus guidelines on the management of neonatal respiratory distress syndrome. J Perinat Med 35(3):175\u2013186","journal-title":"J Perinat Med"},{"issue":"2","key":"2491_CR6","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1097\/ANC.0000000000000272","volume":"16","author":"SM Lozano","year":"2016","unstructured":"Lozano SM, Newnam KM (2016) Modalities of mechanical ventilation: Volume-targeted versus pressure-limited. Adv Neonatal Care 16(2):99\u2013107","journal-title":"Adv Neonatal Care"},{"issue":"7","key":"2491_CR7","doi-asserted-by":"publisher","first-page":"1723","DOI":"10.1164\/ajrccm.163.7.2011060","volume":"163","author":"AH Jobe","year":"2001","unstructured":"Jobe AH, Bancalari E (2001) Bronchopulmonary Dysplasia. Am J Respir Crit Care Med 163(7):1723\u20131729","journal-title":"Am J Respir Crit Care Med"},{"issue":"6","key":"2491_CR8","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1542\/pir.33.6.255","volume":"33","author":"LR Kair","year":"2012","unstructured":"Kair LR, Leonard DT, Anderson JDM (2012) Bronchopulmonary dysplasia. Pediatr Rev 33(6):255\u2013263","journal-title":"Pediatr Rev"},{"issue":"1","key":"2491_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0114847","volume":"10","author":"YS Chiew","year":"2015","unstructured":"Chiew YS et al (2015) Time-varying respiratory system elastance: A physiological model for patients who are spontaneously breathing. PLoS ONE 10(1):1\u201313","journal-title":"PLoS ONE"},{"issue":"1","key":"2491_CR10","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1007\/s11517-011-0843-y","volume":"50","author":"DS Karbing","year":"2012","unstructured":"Karbing DS et al (2012) Retrospective evaluation of a decision support system for controlled mechanical ventilation. Med Biol Eng Comput 50(1):43\u201351","journal-title":"Med Biol Eng Comput"},{"issue":"2","key":"2491_CR11","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1016\/j.medengphy.2010.10.007","volume":"33","author":"DS Karbing","year":"2011","unstructured":"Karbing DS, Kj\u00e6rgaard S, Andreassen S, Espersen K, Rees SE (2011) Minimal model quantification of pulmonary gas exchange in intensive care patients. Med Eng Phys 33(2):240\u2013248","journal-title":"Med Eng Phys"},{"issue":"7","key":"2491_CR12","doi-asserted-by":"publisher","first-page":"1626","DOI":"10.1007\/s10439-019-02253-w","volume":"47","author":"SE Morton","year":"2019","unstructured":"Morton SE et al (2019) Predictive Virtual Patient Modelling of Mechanical Ventilation: Impact of Recruitment Function. Ann Biomed Eng 47(7):1626\u20131641","journal-title":"Ann Biomed Eng"},{"issue":"5","key":"2491_CR13","doi-asserted-by":"publisher","first-page":"727","DOI":"10.1007\/s00134-003-1708-0","volume":"29","author":"S Kjaergaard","year":"2003","unstructured":"Kjaergaard S et al (2003) Non-invasive estimation of shunt and ventilation-perfusion mismatch. Intensive Care Med 29(5):727\u2013734","journal-title":"Intensive Care Med"},{"key":"2491_CR14","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1016\/j.cmpb.2018.02.007","volume":"157","author":"YSW Chiew","year":"2018","unstructured":"Chiew YSW et al (2018) Assessing mechanical ventilation asynchrony through iterative airway pressure reconstruction. Comput Methods Programs Biomed 157:217\u2013224","journal-title":"Comput Methods Programs Biomed"},{"key":"2491_CR15","doi-asserted-by":"publisher","first-page":"206","DOI":"10.1016\/j.bspc.2019.04.015","volume":"52","author":"KT Kim","year":"2019","unstructured":"Kim KT, Knopp J, Dixon B, Chase G (2019) Quantifying neonatal pulmonary mechanics in mechanical ventilation. Biomed Signal Process Control 52:206\u2013217","journal-title":"Biomed Signal Process Control"},{"issue":"1","key":"2491_CR16","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1186\/1475-925X-10-111","volume":"10","author":"YS Chiew","year":"2011","unstructured":"Chiew YS, Chase JG, Shaw GM, Sundaresan A, Desaive T (2011) Model-based PEEP optimisation in mechanical ventilation. Biomed Eng Online 10(1):111","journal-title":"Biomed Eng Online"},{"key":"2491_CR17","doi-asserted-by":"crossref","unstructured":"J. H. T. Bates, 2009 \u201cPulmonary mechanics: A system identification perspective,\u201d Proc. 31st Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. Eng. Futur. Biomed. EMBC 2009, pp. 170\u2013172","DOI":"10.1109\/IEMBS.2009.5333302"},{"issue":"1","key":"2491_CR18","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1186\/1475-925X-13-140","volume":"13","author":"A Szlavecz","year":"2014","unstructured":"Szlavecz A et al (2014) \u201cThe Clinical Utilisation of Respiratory Elastance Software (CURE Soft): a bedside software for real-time respiratory mechanics monitoring and mechanical ventilation management.,.\u201d Biomed. Eng. Online 13(1):140","journal-title":"Biomed. Eng. Online"},{"issue":"1","key":"2491_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12938-018-0455-y","volume":"17","author":"JG Chase","year":"2018","unstructured":"Chase JG et al (2018) Next-generation, personalised, model-based critical care medicine: A state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to validation them. Biomed Eng Online 17(1):1\u201329","journal-title":"Biomed Eng Online"},{"issue":"343","key":"2491_CR20","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1016\/j.morpho.2019.09.003","volume":"103","author":"MH Tawhai","year":"2019","unstructured":"Tawhai MH, Clark AR, Chase JG (2019) The Lung Physiome and virtual patient models: From morphometry to clinical translation. Morphologie 103(343):131\u2013138","journal-title":"Morphologie"},{"key":"2491_CR21","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1016\/j.cmpb.2016.09.011","volume":"171","author":"DP Redmond","year":"2019","unstructured":"Redmond DP, Chiew YS, Major V, Chase JG (2019) Evaluation of model-based methods in estimating respiratory mechanics in the presence of variable patient effort. Comput Methods Programs Biomed 171:67\u201379","journal-title":"Comput Methods Programs Biomed"},{"key":"2491_CR22","doi-asserted-by":"crossref","unstructured":"K. T. Kim, J. Knopp, B. Dixon, and J. G. Chase, \u201cMechanically ventilated premature babies have sex differences in specific elastance: A pilot study,\u201d Pediatr. Pulmonol., no. July, p. ppul.24538, Oct. 2019.","DOI":"10.1002\/ppul.24538"},{"issue":"1","key":"2491_CR23","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1152\/jappl.1999.87.1.36","volume":"87","author":"PH Jarreau","year":"1999","unstructured":"Jarreau PH et al (1999) Estimation of inspiratory pressure drop in neonatal and pediatric endotracheal tubes. J Appl Physiol 87(1):36\u201346","journal-title":"J Appl Physiol"},{"issue":"1","key":"2491_CR24","doi-asserted-by":"publisher","first-page":"5486","DOI":"10.1016\/j.ifacol.2017.08.1087","volume":"50","author":"KT Kim","year":"2017","unstructured":"Kim KT, Redmond DP, Morton SE, Howe SL, Chiew YS, Chase JG (2017) Quantifying patient effort in spontaneously breathing patient using negative component of dynamic Elastance. IFAC-PapersOnLine 50(1):5486\u20135491","journal-title":"IFAC-PapersOnLine"},{"key":"2491_CR25","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1016\/j.arcontrol.2019.05.001","volume":"48","author":"SE Morton","year":"2019","unstructured":"Morton SE et al (2019) Optimising mechanical ventilation through model-based methods and automation. Annu Rev Control 48:369\u2013382","journal-title":"Annu Rev Control"},{"key":"2491_CR26","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/j.cmpb.2018.08.004","volume":"165","author":"SE Morton","year":"2018","unstructured":"Morton SE et al (2018) A virtual patient model for mechanical ventilation. Comput Methods Programs Biomed 165:77\u201387","journal-title":"Comput Methods Programs Biomed"},{"key":"2491_CR27","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1016\/j.mbs.2016.08.001","volume":"284","author":"R Langdon","year":"2017","unstructured":"Langdon R, Docherty PD, Chiew YS, Chase JG (2017) Extrapolation of a non-linear autoregressive model of pulmonary mechanics. Math Biosci 284:32\u201339","journal-title":"Math Biosci"},{"issue":"9","key":"2491_CR28","doi-asserted-by":"publisher","first-page":"1298","DOI":"10.4187\/respcare.01429","volume":"56","author":"MK Brown","year":"2011","unstructured":"Brown MK, DiBlasi RM (2011) Mechanical Ventilation of the Premature Neonate. Respir Care 56(9):1298\u20131313","journal-title":"Respir Care"},{"issue":"1","key":"2491_CR29","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/1471-2466-14-33","volume":"14","author":"EJ Van Drunen","year":"2014","unstructured":"Van Drunen EJ et al (2014) Visualisation of time-varying respiratory system elastance in experimental ARDS animal models. BMC Pulm Med 14(1):1\u20139","journal-title":"BMC Pulm Med"},{"key":"2491_CR30","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1016\/j.bspc.2016.06.014","volume":"30","author":"DO Kannangara","year":"2016","unstructured":"Kannangara DO et al (2016) Estimating the true respiratory mechanics during asynchronous pressure controlled ventilation. Biomed Signal Process Control 30:70\u201378","journal-title":"Biomed Signal Process Control"},{"key":"2491_CR31","doi-asserted-by":"publisher","first-page":"106300","DOI":"10.1016\/j.cmpb.2021.106300","volume":"208","author":"JL Knopp","year":"2021","unstructured":"Knopp JL, Chase JG, Kim KT, Shaw GM (2021) \u201cModel-based estimation of negative inspiratory driving pressure in patients receiving invasive NAVA mechanical ventilation.\u201d Comput. Methods Programs Biomed 208:106300","journal-title":"Comput. Methods Programs Biomed"},{"issue":"1","key":"2491_CR32","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1186\/1475-925X-10-64","volume":"10","author":"A Sundaresan","year":"2011","unstructured":"Sundaresan A, Chase JG, Shaw GM, Chiew YS, Desaive T (2011) \u201cModel-based optimal PEEP in mechanically ventilated ARDS patients in the intensive care unit.,.\u201d Biomed. Eng. Online 10(1):64","journal-title":"Biomed. Eng. Online"},{"key":"2491_CR33","doi-asserted-by":"crossref","unstructured":"C. Schranz, T. Becher, D. Sch\u00e4dler, N. Weiler, and K. M\u00f6ller, 2013 \u201cModel-Based Ventilator Settings in Pressure Controlled Ventilation,\u201d vol. c, no. 6, pp. 10\u201311","DOI":"10.1515\/bmt-2013-4425"},{"issue":"4","key":"2491_CR34","doi-asserted-by":"publisher","first-page":"732","DOI":"10.1016\/S0022-3476(88)80391-3","volume":"113","author":"J Greenspan","year":"1988","unstructured":"Greenspan J, Abbasi S, Bhutani V (1988) Sequential changes in pulmonary mechanics in the very low birth weight (\u22641000 grams) infant. J Pediatr 113(4):732\u2013737","journal-title":"J Pediatr"},{"issue":"2","key":"2491_CR35","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1016\/j.bspc.2011.03.001","volume":"7","author":"A Sundaresan","year":"2012","unstructured":"Sundaresan A, Chase JG (2012) Positive end expiratory pressure in patients with acute respiratory distress syndrome - The past, present and future. Biomed Signal Process Control 7(2):93\u2013103","journal-title":"Biomed Signal Process Control"},{"key":"2491_CR36","doi-asserted-by":"crossref","unstructured":"S. E. Rees and D. S. Karbing, \u201cDetermining the appropriate model complexity for patient-specific advice on mechanical ventilation,\u201d Biomed. Eng. \/ Biomed. Tech., vol. 62, no. 2, Jan. 2017.","DOI":"10.1515\/bmt-2016-0061"},{"key":"2491_CR37","doi-asserted-by":"publisher","first-page":"105184","DOI":"10.1016\/j.cmpb.2019.105184","volume":"186","author":"SL Howe","year":"2020","unstructured":"Howe SL et al (2020) \u201cInspiratory respiratory mechanics estimation by using expiratory data for reverse-triggered breathing cycles,.\u201d Comput. Methods Programs Biomed 186:105184","journal-title":"Comput. Methods Programs Biomed"},{"issue":"4","key":"2491_CR38","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1159\/000349928","volume":"103","author":"DG Sweet","year":"2013","unstructured":"Sweet DG et al (2013) European consensus guidelines on the management of neonatal respiratory distress syndrome in preterm infants-2013 update. Neonatology 103(4):353\u2013368","journal-title":"Neonatology"},{"issue":"3","key":"2491_CR39","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1007\/s11517-010-0712-0","volume":"49","author":"S Lozano-Zahonero","year":"2011","unstructured":"Lozano-Zahonero S et al (2011) Automated mechanical ventilation: Adapting decision making to different disease states. Med Biol Eng Comput 49(3):349\u2013358","journal-title":"Med Biol Eng Comput"},{"issue":"6","key":"2491_CR40","doi-asserted-by":"publisher","first-page":"R118","DOI":"10.1186\/cc6174","volume":"11","author":"DS Karbing","year":"2007","unstructured":"Karbing DS et al (2007) Variation in the PaO2\/FiO2 ratio with FiO2: mathematical and experimental description, and clinical relevance. Crit Care 11(6):R118","journal-title":"Crit Care"},{"issue":"7","key":"2491_CR41","doi-asserted-by":"publisher","first-page":"557","DOI":"10.1080\/17476348.2018.1480941","volume":"12","author":"E Garofalo","year":"2018","unstructured":"Garofalo E et al (2018) Recognizing, quantifying and managing patient-ventilator asynchrony in invasive and noninvasive ventilation. Expert Rev Respir Med 12(7):557\u2013567","journal-title":"Expert Rev Respir Med"},{"key":"2491_CR42","unstructured":"D. C. Chao, D. J. Scheinhorn, M. A. Hassenpflug, and M. S. Barlow, \u201cPatient-ventilator trigger asynchrony in prolonged mechanical ventilation,\u201d Chest, vol. 110, no. 4 SUPPL., 1996."},{"issue":"1","key":"2491_CR43","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3109\/01902148709068811","volume":"12","author":"JS Torday","year":"1987","unstructured":"Torday JS, Nielsen HC (1987) The sex difference in fetal lung surfactant production. Exp Lung Res 12(1):1\u201319","journal-title":"Exp Lung Res"},{"issue":"3","key":"2491_CR44","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1038\/pr.2011.50","volume":"71","author":"JL Peacock","year":"2012","unstructured":"Peacock JL, Marston L, Marlow N, Calvert SA, Greenough A (2012) Neonatal and infant outcome in boys and girls born very prematurely. Pediatr Res 71(3):305\u2013310","journal-title":"Pediatr Res"},{"key":"2491_CR45","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40814-015-0006-2","volume":"1","author":"YSW Chiew","year":"2015","unstructured":"Chiew YSW et al (2015) Feasibility of titrating PEEP to minimum elastance for mechanically ventilated patients. Pilot Feasibility Stud 1:1\u201310","journal-title":"Pilot Feasibility Stud"},{"issue":"1","key":"2491_CR46","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1471-2466-12-59","volume":"12","author":"YS Chiew","year":"2012","unstructured":"Chiew YS et al (2012) Physiological relevance and performance of a minimal lung model \u2013 an experimental study in healthy and acute respiratory distress syndrome model piglets. BMC Pulm Med 12(1):1","journal-title":"BMC Pulm Med"},{"issue":"6","key":"2491_CR47","doi-asserted-by":"publisher","first-page":"663","DOI":"10.1203\/PDR.0b013e31819e72ab","volume":"65","author":"J Beck","year":"2009","unstructured":"Beck J et al (2009) Patient-ventilator interaction during neurally adjusted ventilatory assist in low birth weight infants. Pediatr Res 65(6):663\u2013668","journal-title":"Pediatr Res"},{"issue":"1","key":"2491_CR48","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1159\/000367886","volume":"107","author":"F Longhini","year":"2015","unstructured":"Longhini F et al (2015) Neurally adjusted ventilatory assist in preterm neonates with acute respiratory failure. Neonatology 107(1):60\u201367","journal-title":"Neonatology"},{"key":"2491_CR49","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1016\/j.bspc.2016.01.010","volume":"27","author":"R Langdon","year":"2016","unstructured":"Langdon R, Docherty PD, Chiew YS, M\u00f6ller K, Chase JG (2016) Use of basis functions within a non-linear autoregressive model of pulmonary mechanics. Biomed Signal Process Control 27:44\u201350","journal-title":"Biomed Signal Process Control"},{"issue":"4","key":"2491_CR50","doi-asserted-by":"publisher","first-page":"606","DOI":"10.1007\/s00134-020-05942-6","volume":"46","author":"E Spinelli","year":"2020","unstructured":"Spinelli E, Mauri T, Beitler JR, Pesenti A, Brodie D (2020) Respiratory drive in the acute respiratory distress syndrome: pathophysiology, monitoring, and therapeutic interventions. Intensive Care Med 46(4):606\u2013618","journal-title":"Intensive Care Med"},{"key":"2491_CR51","doi-asserted-by":"publisher","first-page":"102809","DOI":"10.1016\/j.bspc.2021.102809","volume":"69","author":"KT Kim","year":"2021","unstructured":"Kim KT, Knopp J, Chase JG (2021) \u201cQuantifying patient spontaneous breathing effort using model-based methods,.\u201d Biomed. Signal Process. Control 69:102809","journal-title":"Biomed. Signal Process. Control"},{"issue":"02","key":"2491_CR52","doi-asserted-by":"publisher","first-page":"2","DOI":"10.4172\/2167-0897.1000133","volume":"03","author":"AMR Sonia Rodriguez Rivero","year":"2014","unstructured":"Sonia Rodriguez Rivero AMR (2014) \u201cNeurally Adjusted Vetilatory Assist in the Newborn.\u201d J. Neonatal Biol 03(02):2\u20135","journal-title":"J. Neonatal Biol"},{"issue":"5","key":"2491_CR53","doi-asserted-by":"publisher","first-page":"747","DOI":"10.1203\/01.PDR.0000119368.21770.33","volume":"55","author":"J Beck","year":"2004","unstructured":"Beck J, Tucci M, Emeriaud G, Lacroix J, Sinderby C (2004) Prolonged Neural Expiratory Time Induced by Mechanical Ventilation in Infants. Pediatr Res 55(5):747\u2013754","journal-title":"Pediatr Res"}],"container-title":["Medical &amp; Biological Engineering &amp; Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-021-02491-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11517-021-02491-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-021-02491-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,27]],"date-time":"2022-10-27T06:33:26Z","timestamp":1666852406000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11517-021-02491-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,19]]},"references-count":53,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2022,3]]}},"alternative-id":["2491"],"URL":"https:\/\/doi.org\/10.1007\/s11517-021-02491-y","relation":{},"ISSN":["0140-0118","1741-0444"],"issn-type":[{"type":"print","value":"0140-0118"},{"type":"electronic","value":"1741-0444"}],"subject":[],"published":{"date-parts":[[2022,1,19]]},"assertion":[{"value":"8 April 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 December 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 January 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}