Publications associées à Tachycardie

An integrated heart-torso electromechanical model for the simulation of electrophysiological outputs accounting for myocardial deformation

Alfio Quarteroni, Francesco Regazzoni

When generating in-silico clinical electrophysiological outputs, such as electrocardiograms (ECGs) and body surface potential maps (BSPMs), mathematical models have relied on single physics, i.e. of the cardiac electrophysiology (EP), neglecting the role o ...

Elsevier Science Sa2024

KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch

David Atienza Alonso, José Angel Miranda Calero, Jonathan Dan, Christodoulos Kechris

Accurate extraction of heart rate from photoplethysmography (PPG) signals remains challenging due to motion artifacts and signal degradation. Although deep learning methods trained as a data-driven inference problem offer promising solutions, they often un ...

2024

Reduced order modeling of parametrized pulsatile blood flows: Hematocrit percentage and heart rate

Ricardo Reyes Sotomayor

This paper numerically evaluates the accuracy and performance of a stabilized finite element Reduced Order Modelling (ROM) approach that is designed to simulate pulsatile blood flows. The method is able to estimate fluid flow parametric solutions of intere ...

PERGAMON-ELSEVIER SCIENCE LTD2023

Physiological Demands of Exergames in Older Adults- A Systematic Literature Review

Timo Markus Oskar Felder

New approaches are needed to address low physical activity levels among older adults and to promote daily physical activity tailored to their interests and abilities. This study aimed to review the current literature analyzing the physiological demands of ...

HUMAN KINETICS PUBL INC2023

Uncovering personalized glucose responses and circadian rhythms from multiple wearable biosensors with Bayesian dynamical modeling

Felix Naef, Nicholas Edward Phillips

Wearable biosensors and smartphone applications can measure physiological variables over multiple days in free-living conditions. We measure food and drink ingestion, glucose dynamics, physical activity, heart rate (HR), and heart rate variability (HRV) in ...

CELL PRESS2023

Multisensing wearables for real-time monitoring of sweat electrolyte biomarkers during exercise and analysis on their correlation with core body temperature

Danick Briand, Silvia Demuru, Jaemin Kim, Brince Paul Kunnel, Vincent Gremeaux, Shu Wang

Sweat secreted by the human eccrine sweat glands can provide valuable biomarker information during exercise. Real-time non-invasive biomarker recordings are therefore useful for evaluating the physiological conditions of an athlete such as their hydration ...

2023

Cardiac output estimated from an uncalibrated radial blood pressure waveform: validation in an in-silico-generated population

Nikolaos Stergiopoulos, Georgios Rovas, Vasiliki Bikia

Background: Cardiac output is essential for patient management in critically ill patients. The state-of-the-art for cardiac output monitoring bears limitations that pertain to the invasive nature of the method, high costs, and associated complications. Hen ...

FRONTIERS MEDIA SA2023

Concurrent Evolution of Biomechanical and Physiological Parameters With Running-Induced Acute Fatigue

Kamiar Aminian, Anisoara Ionescu, Salil Apte, Gaëlle Prigent, Vincent Gremeaux

Understanding the influence of running-induced acute fatigue on the homeostasis of the body is essential to mitigate the adverse effects and optimize positive adaptations to training. Fatigue is a multifactorial phenomenon, which influences biomechanical, ...

FRONTIERS MEDIA SA2022

p-Aminobenzamidine attenuates cardiovascular dysfunctions in spontaneously hypertensive rats

Nikolaos Stergiopoulos, Fabiana Pereira Da Costa Fraga, Allancer Divino De Carvalho Nunes

Aims:Diminazene aceturate, a putative ACE2 activator, is susceptible to cleavage resulting in the formation of paminobenzamidine (PAB). This study aimed to investigate the effects of PAB in addressing cardiovascular dysfunctions in spontaneously hypertensi ...

PERGAMON-ELSEVIER SCIENCE LTD2022

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Tachycardie

An integrated heart-torso electromechanical model for the simulation of electrophysiological outputs accounting for myocardial deformation

KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch

Reduced order modeling of parametrized pulsatile blood flows: Hematocrit percentage and heart rate

Physiological Demands of Exergames in Older Adults- A Systematic Literature Review

Uncovering personalized glucose responses and circadian rhythms from multiple wearable biosensors with Bayesian dynamical modeling

Multisensing wearables for real-time monitoring of sweat electrolyte biomarkers during exercise and analysis on their correlation with core body temperature

Cardiac output estimated from an uncalibrated radial blood pressure waveform: validation in an in-silico-generated population

Towards a Framework for Estimation of User Susceptibility to Cybersickness

Concurrent Evolution of Biomechanical and Physiological Parameters With Running-Induced Acute Fatigue

p-Aminobenzamidine attenuates cardiovascular dysfunctions in spontaneously hypertensive rats

Graph Chatbot

Chattez avec Graph Search

Uncovering personalized glucose responses and circadian rhythms from multiple wearable biosensors with Bayesian dynamical modeling

p-Aminobenzamidine attenuates cardiovascular dysfunctions in spontaneously hypertensive rats

Towards a Framework for Estimation of User Susceptibility to Cybersickness

Reduced order modeling of parametrized pulsatile blood flows: Hematocrit percentage and heart rate

Cardiac output estimated from an uncalibrated radial blood pressure waveform: validation in an in-silico-generated population

Physiological Demands of Exergames in Older Adults- A Systematic Literature Review

An integrated heart-torso electromechanical model for the simulation of electrophysiological outputs accounting for myocardial deformation

Concurrent Evolution of Biomechanical and Physiological Parameters With Running-Induced Acute Fatigue

KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch

Multisensing wearables for real-time monitoring of sweat electrolyte biomarkers during exercise and analysis on their correlation with core body temperature