{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T22:20:59Z","timestamp":1783030859460,"version":"3.54.6"},"reference-count":41,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82302213"],"award-info":[{"award-number":["82302213"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006579","name":"Ministry of Industry and Information Technology of the People's Republic of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100006579","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Biomedical Signal Processing and Control"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1016\/j.bspc.2026.110809","type":"journal-article","created":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T23:41:11Z","timestamp":1781221271000},"page":"110809","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["A physiology-constrained framework for non-invasive left atrial pressure assessment and post-procedural estimation in mitral stenosis"],"prefix":"10.1016","volume":"125","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4341-2948","authenticated-orcid":false,"given":"Qimin","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenwen","family":"Liang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shengzhang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Minmin","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"3","key":"10.1016\/j.bspc.2026.110809_b0005","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1007\/s11886-019-1099-7","article-title":"Rheumatic Mitral Valve Stenosis: Diagnosis and Treatment Options","volume":"21","author":"Wunderlich","year":"2019","journal-title":"Curr. Cardiol. Rep."},{"issue":"27","key":"10.1016\/j.bspc.2026.110809_b0010","doi-asserted-by":"crossref","first-page":"2194","DOI":"10.1093\/eurheartj\/ehz314","article-title":"Causes and mechanisms of isolated mitral regurgitation in the community: Clinical context and outcome","volume":"40","author":"Dziadzko","year":"2019","journal-title":"Eur. Heart J."},{"issue":"8","key":"10.1016\/j.bspc.2026.110809_b0015","doi-asserted-by":"crossref","first-page":"713","DOI":"10.1056\/NEJMoa1603693","article-title":"Global, Regional, and National Burden of Rheumatic Heart Disease, 1990-2015","volume":"377","author":"Watkins","year":"2017","journal-title":"N. Engl. J. Med."},{"issue":"3","key":"10.1016\/j.bspc.2026.110809_b0020","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1016\/j.ihj.2014.03.010","article-title":"Incidence and patterns of valvular heart disease in a tertiary care high-volume cardiac center: A single center experience","volume":"66","author":"Manjunath","year":"2014","journal-title":"Indian Heart J."},{"issue":"1","key":"10.1016\/j.bspc.2026.110809_b0025","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1186\/s13054-022-04115-9","article-title":"Bedside assessment of left atrial pressure in critical care: A multifaceted gem","volume":"26","author":"Bowcock","year":"2022","journal-title":"Crit. Care"},{"key":"10.1016\/j.bspc.2026.110809_b0030","doi-asserted-by":"crossref","DOI":"10.1093\/ehjci\/jeae311","article-title":"Novel algorithm for non-invasive estimation of left atrial pressure in patients with atrial fibrillation","author":"Seo","year":"2025","journal-title":"European Heart Journal-Cardiovascular Imaging"},{"issue":"25","key":"10.1016\/j.bspc.2026.110809_b0035","doi-asserted-by":"crossref","first-page":"e1159","DOI":"10.1161\/CIR.0000000000000503","article-title":"2017 AHA\/ACC Focused Update of the 2014 AHA\/ACC Guideline for the Management of Patients With Valvular Heart Disease: A Report of the American College of Cardiology\/American Heart Association Task Force on Clinical Practice Guidelines","volume":"135","author":"Nishimura","year":"2017","journal-title":"Circulation"},{"issue":"7","key":"10.1016\/j.bspc.2026.110809_b0040","first-page":"708","article-title":"Critical Appraisal of Pulmonary Artery Systolic Pressure by Doppler Echocardiography in Patients With Severe Tricuspid Regurgitation","volume":"37","author":"Lara-Breitinger","year":"2024","journal-title":"Journal of the American Society of Echocardiography, 35th ASE Annual Scientific Sessions"},{"issue":"9365","key":"10.1016\/j.bspc.2026.110809_b0045","doi-asserted-by":"crossref","first-page":"1241","DOI":"10.1016\/S0140-6736(03)12978-9","article-title":"Silent and apparent cerebral embolism after retrograde catheterisation of the aortic valve in valvular stenosis: A prospective, randomised study","volume":"361","author":"Omran","year":"2003","journal-title":"Lancet"},{"issue":"4","key":"10.1016\/j.bspc.2026.110809_b0050","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1016\/j.echo.2016.01.011","article-title":"Recommendations for the Evaluation of Left Ventricular Diastolic Function by Echocardiography: An Update from the American Society of Echocardiography and the European Association ofCardiovascular Imaging","volume":"29","author":"Nagueh","year":"2016","journal-title":"Journal of the American Society of Echocardiography: Official Publication of the American Society of Echocardiography"},{"issue":"5","key":"10.1016\/j.bspc.2026.110809_b0055","doi-asserted-by":"crossref","DOI":"10.1161\/JAHA.118.010736","article-title":"Low-Gradient Severe Mitral Stenosis: Hemodynamic Profiles, Clinical Characteristics, and Outcomes","volume":"8","author":"El Sabbagh","year":"2019","journal-title":"J. Am. Heart Assoc."},{"issue":"8","key":"10.1016\/j.bspc.2026.110809_b0060","doi-asserted-by":"crossref","first-page":"e211","DOI":"10.1161\/CIRCULATIONAHA.108.792952","article-title":"Percutaneous balloon mitral valvuloplasty: A review","volume":"119","author":"Nobuyoshi","year":"2009","journal-title":"Circulation"},{"issue":"23","key":"10.1016\/j.bspc.2026.110809_b0065","doi-asserted-by":"crossref","first-page":"2531","DOI":"10.1016\/j.jcin.2021.08.072","article-title":"The Role of Invasive Hemodynamics in Guiding Contemporary Transcatheter Valvular Interventions","volume":"14","author":"Alkhouli","year":"2021","journal-title":"J. Am. Coll. Cardiol. Intv."},{"issue":"11","key":"10.1016\/j.bspc.2026.110809_b0070","doi-asserted-by":"crossref","first-page":"1972","DOI":"10.1111\/echo.14506","article-title":"A simple technique for bedside estimation of left atrial pressure","volume":"36","author":"Pressman","year":"2019","journal-title":"Echocardiography"},{"issue":"1","key":"10.1016\/j.bspc.2026.110809_b0075","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1002\/ejhf.971","article-title":"Non-invasive assessment of left ventricular filling pressure","volume":"20","author":"Nagueh","year":"2018","journal-title":"Eur. J. Heart Fail."},{"issue":"4","key":"10.1016\/j.bspc.2026.110809_b0080","doi-asserted-by":"crossref","first-page":"169","DOI":"10.4250\/jcu.2011.19.4.169","article-title":"Use and Limitations of E\/e\u2019 to Assess Left Ventricular Filling Pressure by Echocardiography","volume":"19","author":"Park","year":"2011","journal-title":"Journal of Cardiovascular Ultrasound"},{"key":"10.1016\/j.bspc.2026.110809_b0085","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2023.102795","article-title":"An ultrasound-exclusive non-invasive computational diagnostic framework for personalized cardiology of aortic valve stenosis","volume":"87","author":"Bahadormanesh","year":"2023","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.bspc.2026.110809_b0090","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2026.110453","article-title":"A self-calibrating framework for cuffless blood pressure monitoring leveraging gradient-convergence and adversarial machine learning","volume":"122","author":"Xing","year":"2026","journal-title":"Biomed. Signal Process. Control"},{"key":"10.1016\/j.bspc.2026.110809_b0095","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1109\/RBME.2022.3142058","article-title":"Hemodynamic Modeling, Medical Imaging, and Machine Learning and Their Applications to Cardiovascular Interventions","volume":"16","author":"Kadem","year":"2023","journal-title":"IEEE Rev. Biomed. Eng."},{"issue":"1","key":"10.1016\/j.bspc.2026.110809_b0100","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-020-63728-8","article-title":"A diagnostic, monitoring, and predictive tool for patients with complex valvular, vascular and ventricular diseases","volume":"10","author":"Keshavarz-Motamed","year":"2020","journal-title":"Sci. Rep."},{"key":"10.1016\/j.bspc.2026.110809_b0105","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2024.107020","article-title":"A multi-objective physiological control system for continuous-flow left ventricular assist device with non-invasive physiological feedback","volume":"100","author":"Liu","year":"2025","journal-title":"Biomed. Signal Process. Control"},{"issue":"5","key":"10.1016\/j.bspc.2026.110809_b0110","doi-asserted-by":"crossref","first-page":"2977","DOI":"10.1007\/s11831-021-09685-5","article-title":"The Critical Role of Lumped Parameter Models in Patient-Specific Cardiovascular Simulations","volume":"29","author":"Garber","year":"2022","journal-title":"Archives of Computational Methods in Engineering"},{"key":"10.1016\/j.bspc.2026.110809_b0115","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2023.105914","article-title":"Double closed-loop feedback control strategy for enhanced external counterpulsation to regulate hemodynamic response of human common carotid artery","volume":"91","author":"Wang","year":"2024","journal-title":"Biomed. Signal Process. Control"},{"issue":"3","key":"10.1016\/j.bspc.2026.110809_b0120","doi-asserted-by":"crossref","first-page":"661","DOI":"10.1016\/j.jhep.2020.10.036","article-title":"Predicting the risk of post-hepatectomy portal hypertension using a digital twin: A clinical proof of concept","volume":"74","author":"Golse","year":"2021","journal-title":"J. Hepatol."},{"issue":"5","key":"10.1016\/j.bspc.2026.110809_b0125","doi-asserted-by":"crossref","first-page":"826","DOI":"10.1007\/s12265-020-09953-y","article-title":"Lumped-Parameter Circuit Platform for Simulating Typical Cases of Pulmonary Hypertensions from Point of Hemodynamics","volume":"13","author":"Tang","year":"2020","journal-title":"J. Cardiovasc. Transl. Res."},{"key":"10.1016\/j.bspc.2026.110809_b0130","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2024.106680","article-title":"Assessment of blood flow parameters in a hybrid-digital model of the cardiovascular system applying recurrent neural networks","volume":"98","author":"\u015al\u0119zak","year":"2024","journal-title":"Biomed. Signal Process. Control"},{"key":"10.1016\/j.bspc.2026.110809_b0135","doi-asserted-by":"crossref","first-page":"e3846","DOI":"10.1002\/cnm.3846","article-title":"Computational haemodynamics for pulmonary valve replacement by means of a reduced fluid-structure interaction model","volume":"40","author":"Criseo","year":"2024","journal-title":"International Journal for Numerical Methods in Biomedical Engineering"},{"issue":"6","key":"10.1016\/j.bspc.2026.110809_b0140","doi-asserted-by":"crossref","first-page":"491","DOI":"10.1177\/02184923231187052","article-title":"Comparative outcomes of percutaneous transvenous mitral commissurotomy between low and high Wilkins score","volume":"31","author":"Alidoosti","year":"2023","journal-title":"Asian Cardiovasc. Thorac. Ann."},{"key":"10.1016\/j.bspc.2026.110809_b0145","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1093\/ehjci\/jev014","article-title":"Recommendations for Cardiac Chamber Quantification by Echocardiography in Adults: An Update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging","volume":"16","author":"Lang","year":"2015","journal-title":"Eur. Heart J. Cardiovasc. Imaging"},{"issue":"5","key":"10.1016\/j.bspc.2026.110809_b0150","doi-asserted-by":"crossref","first-page":"700","DOI":"10.1016\/j.compbiomed.2006.06.011","article-title":"A multi-scale computational method applied to the quantitative evaluation of the left ventricular function","volume":"37","author":"Liang","year":"2007","journal-title":"Comput. Biol. Med."},{"issue":"9","key":"10.1016\/j.bspc.2026.110809_b0155","doi-asserted-by":"crossref","first-page":"1452","DOI":"10.1111\/aor.14597","article-title":"In-silico hemodynamic ramp testing of ventricular assist device implanted patients using acausal cardiovascular-VAD modeling","volume":"47","author":"Mehmood","year":"2023","journal-title":"Artif. Organs"},{"issue":"6","key":"10.1016\/j.bspc.2026.110809_b0160","doi-asserted-by":"crossref","first-page":"1916","DOI":"10.1152\/japplphysiol.90572.2008","article-title":"Hemodynamic impact of mitral prosthesis-patient mismatch on pulmonary hypertension: An in silico study","volume":"105","author":"Tann\u00e9","year":"2008","journal-title":"J. Appl. Physiol."},{"issue":"7","key":"10.1016\/j.bspc.2026.110809_b0165","first-page":"H1056","article-title":"Hemodynamic performance of the Fontan circulation compared with a normal biventricular circulation: A computational model study","volume":"307","author":"Liang","year":"2014","journal-title":"Am. J. Phys. Heart Circ. Phys."},{"issue":"6\u20137","key":"10.1016\/j.bspc.2026.110809_b0170","doi-asserted-by":"crossref","first-page":"626","DOI":"10.1002\/cnm.1466","article-title":"A simple, versatile valve model for use in lumped parameter and one-dimensional cardiovascular models","volume":"28","author":"Mynard","year":"2012","journal-title":"International Journal for Numerical Methods in Biomedical Engineering"},{"key":"10.1016\/j.bspc.2026.110809_b0200","doi-asserted-by":"crossref","unstructured":"SUGA, H., & SAGAWA, K. (1974). Instantaneous Pressure-Volume Relationships and Their Ratio in the Excised, Supported Canine Left Ventricle. Circulation Research. https:\/\/doi.org\/10.1161\/01.RES.35.1.117.","DOI":"10.1161\/01.RES.35.1.117"},{"issue":"16","key":"10.1016\/j.bspc.2026.110809_b0175","doi-asserted-by":"crossref","first-page":"3036","DOI":"10.1016\/j.jbiomech.2005.10.013","article-title":"Analytical modeling of the instantaneous maximal transvalvular pressure gradient in aortic stenosis","volume":"39","author":"Garcia","year":"2006","journal-title":"J. Biomech."},{"issue":"1","key":"10.1016\/j.bspc.2026.110809_b0180","first-page":"1868","article-title":"An orifice shape-based reduced order model of patient-specific mitral valve regurgitation","volume":"15","author":"Franz","year":"2021","journal-title":"Eng. Appl. Comput. Fluid Mech."},{"key":"10.1016\/j.bspc.2026.110809_b0205","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2024.106696","article-title":"In-silico Evaluation of the effects of blood flow rate change in ductus arteriosus on cardiac function and cerebral blood flow rate in term and preterm infants","volume":"97","author":"Bozkurt","year":"2024","journal-title":"Biomed. Signal Process. Control"},{"key":"10.1016\/j.bspc.2026.110809_b0185","series-title":"XGBoost: A Scalable Tree Boosting System","first-page":"785","author":"Chen","year":"2016"},{"key":"10.1016\/j.bspc.2026.110809_b0190","series-title":"Revisiting deep learning models for tabular data","author":"Gorishniy","year":"2021"},{"key":"10.1016\/j.bspc.2026.110809_b0195","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1038\/s41586-024-08328-6","article-title":"Accurate predictions on small data with a tabular foundation model","volume":"637","author":"Hollmann","year":"2025","journal-title":"Nature"}],"container-title":["Biomedical Signal Processing and Control"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1746809426013637?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1746809426013637?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T21:42:54Z","timestamp":1783028574000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1746809426013637"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":41,"alternative-id":["S1746809426013637"],"URL":"https:\/\/doi.org\/10.1016\/j.bspc.2026.110809","relation":{},"ISSN":["1746-8094"],"issn-type":[{"value":"1746-8094","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A physiology-constrained framework for non-invasive left atrial pressure assessment and post-procedural estimation in mitral stenosis","name":"articletitle","label":"Article Title"},{"value":"Biomedical Signal Processing and Control","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.bspc.2026.110809","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"110809"}}