Cargando…

Validation of a Non-invasive Inverse Problem-Solving Method for Stroke Volume

Stroke volume (SV) is a major biomarker of cardiac function, reflecting ventricular-vascular coupling. Despite this, hemodynamic monitoring and management seldomly includes assessments of SV and remains predominantly guided by brachial cuff blood pressure (BP). Recently, we proposed a mathematical i...

Descripción completa

Detalles Bibliográficos
Autores principales:	Bikia, Vasiliki, McEniery, Carmel M., Roussel, Emma Marie, Rovas, Georgios, Pagoulatou, Stamatia, Wilkinson, Ian B., Stergiopulos, Nikolaos
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Physiology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826540/ https://www.ncbi.nlm.nih.gov/pubmed/35153811 http://dx.doi.org/10.3389/fphys.2021.798510

Ejemplares similares

Acute and Long-Term Effects of Aortic Compliance Decrease on Central Hemodynamics: A Modeling Analysis
por: Pagoulatou, Stamatia, et al.
Publicado: (2021)

Determination of Aortic Characteristic Impedance and Total Arterial Compliance From Regional Pulse Wave Velocities Using Machine Learning: An in-silico Study
por: Bikia, Vasiliki, et al.
Publicado: (2021)

The effect of left ventricular contractility on arterial hemodynamics: A model-based investigation
por: Pagoulatou, Stamatia, et al.
Publicado: (2021)

AI-Based Estimation of End-Systolic Elastance From Arm-Pressure and Systolic Time Intervals
por: Bikia, Vasiliki, et al.
Publicado: (2021)

Estimation of Left Ventricular End-Systolic Elastance From Brachial Pressure Waveform via Deep Learning
por: Bikia, Vasiliki, et al.
Publicado: (2021)

Noninvasive estimation of aortic hemodynamics and cardiac contractility using machine learning
por: Bikia, Vasiliki, et al.
Publicado: (2020)

Quantification of the Phenomena Affecting Reflective Arterial Photoplethysmography
por: Rovas, Georgios, et al.
Publicado: (2023)

Cardiac output estimated from an uncalibrated radial blood pressure waveform: validation in an in-silico-generated population
por: Bikia, Vasiliki, et al.
Publicado: (2023)

Design and computational optimization of compliance-matching aortic grafts
por: Rovas, Georgios, et al.
Publicado: (2023)

The effect of the elongation of the proximal aorta on the estimation of the aortic wall distensibility
por: Pagoulatou, Stamatia Z., et al.
Publicado: (2020)

Arterial Wave Reflection and Aortic Valve Stenosis: Diagnostic Challenges and Prognostic Significance
por: Pagoulatou, Stamatia, et al.
Publicado: (2022)

Prognostic Implications of the Novel Pulmonary Hypertension Definition in Patients with Aortic Stenosis after Transcatheter Valve Replacement
por: Adamopoulos, Dionysios, et al.
Publicado: (2022)

On the similarity between aortic and carotid pressure diastolic decay: a mathematical modelling study
por: Bikia, Vasiliki, et al.
Publicado: (2023)

Evolution of aortic pressure during normal ageing: A model-based study
por: Pagoulatou, Stamatia, et al.
Publicado: (2017)

Assessment of Stiffness of Large to Small Arteries in Multistage Renal Disease Model: A Numerical Study
por: Obeid, Hasan, et al.
Publicado: (2022)

Impact of the Endocardium in a Parameter Optimization to Solve the Inverse Problem of Electrocardiography
por: Ravon, Gwladys, et al.
Publicado: (2019)

Solving the Inverse Problem of Electrocardiography on the Endocardium Using a Single Layer Source
por: Kalinin, Alexander, et al.
Publicado: (2019)

Skin Sodium and Hypertension: a Paradigm Shift?
por: Selvarajah, Viknesh, et al.
Publicado: (2018)

Solving the inverse problem in electrocardiography imaging for atrial fibrillation using various time-frequency decomposition techniques based on empirical mode decomposition: A comparative study
por: Yadan, Zhang, et al.
Publicado: (2022)

Solving Direct and Inverse Heat Conduction Problems
por: Taler, Jan, et al.
Publicado: (2006)

Parallel multigrid method for solving inverse problems
por: Al-Mahdawi, H.K., et al.
Publicado: (2022)

Stiffening and ventricular–arterial interaction in the ascending aorta using MRI: ageing effects in healthy humans
por: Li, Ye, et al.
Publicado: (2019)

Socioeconomic status, education, and aortic stiffness progression over 5 years: the Whitehall II prospective cohort study
por: Trudel, Xavier, et al.
Publicado: (2016)

Review on solving the inverse problem in EEG source analysis
por: Grech, Roberta, et al.
Publicado: (2008)

Big in Japan: Regularizing Networks for Solving Inverse Problems
por: Schwab, Johannes, et al.
Publicado: (2019)

Discretization of Learned NETT Regularization for Solving Inverse Problems
por: Antholzer, Stephan, et al.
Publicado: (2021)

Primary hypertension, anti-hypertensive medications and the risk of severe COVID-19 in UK Biobank
por: Pavey, Holly, et al.
Publicado: (2022)

Numerical method for solving the inverse problem of quantum scattering theory
por: Airapetyan, R G, et al.
Publicado: (1996)

Superconducting Magnets for the LHC: Conception, Optimization and Inverse Problem Solving
por: Russenschuck, Stephan
Publicado: (1997)

Superconducting magnets for the LHC-conception, optimization and inverse problem solving
por: Russenschuck, Stephan
Publicado: (1998)

Gestational length assignment based on last menstrual period, first trimester crown-rump length, ovulation, and implantation timing
por: Mahendru, Amita A., et al.
Publicado: (2016)

Gaussian Process Regressions for Inverse Problems and Parameter Searches in Models of Ventricular Mechanics
por: Di Achille, Paolo, et al.
Publicado: (2018)

Solving Large-Scale Inverse Magnetostatic Problems using the Adjoint Method
por: Bruckner, Florian, et al.
Publicado: (2017)

Design of Loss Functions for Solving Inverse Problems Using Deep Learning
por: Rivera, Jon Ander, et al.
Publicado: (2020)

Ambiguity in Solving Imaging Inverse Problems with Deep-Learning-Based Operators
por: Evangelista, Davide, et al.
Publicado: (2023)

Correction to: ChemoPROphyLaxIs with hydroxychloroquine For covId-19 infeCtious disease (PROLIFIC) to prevent covid-19 infection in frontline healthcare workers: A structured summary of a study protocol for a randomised controlled trial
por: McEniery, Carmel M., et al.
Publicado: (2020)

Evaluation of inert gas rebreathing for determination of cardiac output: influence of age, gender and body size
por: Middlemiss, Jessica E., et al.
Publicado: (2018)

Placental syndromes and maternal cardiovascular health
por: Casey, Helen, et al.
Publicado: (2023)

Cardiac stroke volume in females and its correlation to blood volume and cardiac dimensions
por: Schierbauer, Janis, et al.
Publicado: (2022)

Evaluation of Fifteen Algorithms for the Resolution of the Electrocardiography Imaging Inverse Problem Using ex-vivo and in-silico Data
por: Karoui, Amel, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_pg5ste7aluc2dnph9rsp2vaode