Publications associées à Intervalle QT

AI-Based Estimation of End-Systolic Elastance From Arm-Pressure and Systolic Time Intervals

Nikolaos Stergiopoulos, Georgios Rovas, Vasiliki Bikia, Stamatia Zoi Pagoulatou

Left ventricular end-systolic elastance (Ees) is a major determinant of cardiac systolic function and ventricular-arterial interaction. Previous methods for the Ees estimation require the use of the echocardiographic ejection fraction (EF). However, given ...

2021

Severe and uniform bi-atrial remodeling measured by dominant frequency analysis in persistent atrial fibrillation unresponsive to ablation

Jean-Marc Vesin, Adrian Luca, Andréa Buttu, Etienne Pruvot

Background High values of ECG and intracardiac dominant frequency (DF) are indicative of significant atrial remodeling in persistent atrial fibrillation (peAF). We hypothesized that patients with peAF unresponsive to ablation display higher ECG and intraca ...

2019

Perceived interest and heart rate response to façade and daylight patterns in Virtual Reality

Marilyne Andersen, Jan Wienold, Giorgia Chinazzo, Kynthia Chamilothori, João Pedro de Matos Rodrigues

This contribution introduces an experimental study aiming to provide concrete evidence on how façade and daylight pattern geometry can affect the emotional responses triggered by a space. The study was conducted in Virtual Reality (VR) where participants w ...

2018

Analysis of U-Shape Patterns in RR-Interval Time Series During Sleep

Jean-Marc Vesin, Grégoire Millet, Sasan Yazdani, Alexandre Thierry Robert Cherqui

The proposed study investigates a phenomenon, defined as "U-patterns", that takes place in the RR-interval time series during sleep. These patterns are defined as a U-shaped decrease-increase in the RR-intervals, with a duration of 20 to 40 seconds with a ...

IEEE2018

Usefulness of P-Wave Duration and Morphologic Variability to Identify Patients Prone to Paroxysmal Atrial Fibrillation

Jean-Marc Vesin, Adrian Luca, Sasan Yazdani, Lukas Kappenberger

Few data are available on the assessment of P-wave beat-to-beat morphology variability and its ability to identify patients prone to paroxysmal atrial fibrillation (AF) occurrence. Aim of this study was to determine whether electrocardiographic (ECG) param ...

Excerpta Medica Inc-Elsevier Science Inc2017

A Novel Measure of Instantaneous Baroreflex Sensitivity

Jean-Marc Vesin, Sasan Yazdani, Miljan Petrovic

Various time- and frequency-based approaches have been proposed to measure baroreflex sensitivity. All these methods are block-based ones. This study proposes a novel instantaneous measure of baroreflex sensitivity that enables the investigation of frequen ...

2017

Hierarchical Cardiac-Rhythm Classification Based on Electrocardiogram Morphology

David Atienza Alonso, Amir Aminifar, Elisabetta De Giovanni, Dionisije Sopic

Atrial Fibrillation (AF) is a type of cardiac arrhythmia that significantly increases the risk of stroke and heart failure. In general, in the case of patients affected by AF, their electrocardiogram (ECG) shows a typical pattern of irregular RR intervals ...

2017

Robust heart rate estimation using wrist-type photoplethysmographic signals during physical exercise: an approach based on adaptive filtering

Jean-Marc Vesin, Sibylle Fallet

Photoplethysmographic (PPG) signals are easily corrupted by motion artifacts when the subjects perform physical exercise. This paper introduces a two-step processing scheme to estimate heart rate (HR) from wrist-type PPG signals strongly corrupted by motio ...

Institute of Physics2017

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Intervalle QT

Finding information-rich electrocardiographic biomarkers to characterize atrial fibrillation.

AI-Based Estimation of End-Systolic Elastance From Arm-Pressure and Systolic Time Intervals

Severe and uniform bi-atrial remodeling measured by dominant frequency analysis in persistent atrial fibrillation unresponsive to ablation

Signal processing techniques for cardiovascular monitoring applications using conventional and video-based photoplethysmography

Perceived interest and heart rate response to façade and daylight patterns in Virtual Reality

Analysis of U-Shape Patterns in RR-Interval Time Series During Sleep

Usefulness of P-Wave Duration and Morphologic Variability to Identify Patients Prone to Paroxysmal Atrial Fibrillation

A Novel Measure of Instantaneous Baroreflex Sensitivity

Hierarchical Cardiac-Rhythm Classification Based on Electrocardiogram Morphology

Robust heart rate estimation using wrist-type photoplethysmographic signals during physical exercise: an approach based on adaptive filtering

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Chattez avec Graph Search

Hierarchical Cardiac-Rhythm Classification Based on Electrocardiogram Morphology

A Novel Measure of Instantaneous Baroreflex Sensitivity

AI-Based Estimation of End-Systolic Elastance From Arm-Pressure and Systolic Time Intervals

Finding information-rich electrocardiographic biomarkers to characterize atrial fibrillation.

Analysis of U-Shape Patterns in RR-Interval Time Series During Sleep

Signal processing techniques for cardiovascular monitoring applications using conventional and video-based photoplethysmography

Robust heart rate estimation using wrist-type photoplethysmographic signals during physical exercise: an approach based on adaptive filtering

Usefulness of P-Wave Duration and Morphologic Variability to Identify Patients Prone to Paroxysmal Atrial Fibrillation

Severe and uniform bi-atrial remodeling measured by dominant frequency analysis in persistent atrial fibrillation unresponsive to ablation

Perceived interest and heart rate response to façade and daylight patterns in Virtual Reality