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Manuel Villegas-Martinez

Showing results (1-10 of 14) with videos related to

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Magma (New York, N.Y.)|June 22, 2024
The beating heart: artificial intelligence for cardiovascular application in the clinicManuel Villegas-Martinez, Victor de Villedon de Naide, Vivek Muthurangu, et al.
ESC Heart Failure|September 13, 2021
Shortening of time-to-peak left ventricular pressure rise (Td) in cardiac resynchronization therapyHans Henrik Odland, Manuel Villegas-Martinez, Stian Ross, et al.
Scientific Reports|November 19, 2020
Automatic detection of valve events by epicardial accelerometer allows estimation of the left ventricular pressure trace and pressure-displacement loop areaAli Wajdan, Magnus Reinsfelt Krogh, Manuel Villegas-Martinez, et al.
Scientific Reports|May 20, 2025
Deep neural network valve detection for accelerometer based cardiac monitoringAli Wajdan, Vetle Christoffer Frostelid, Manuel Villegas-Martinez, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Monitoring cardiac function by accelerometer - detecting start systole from the acceleration signal makes additional ECG recordings for R-peak detection redundantAli Wajdan, Magnus Reinsfelt Krogh, Manuel Villegas-Martinez, et al.
Frontiers in Physiology|June 20, 2022
Tracking Early Systolic Motion for Assessing Acute Response to Cardiac Resynchronization Therapy in Real TimeManuel Villegas-Martinez, Magnus Reinsfelt Krogh, Øyvind S Andersen, et al.
Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology|February 3, 2023
Pulse arrival time variation as a non-invasive marker of acute response to cardiac resynchronization therapyManuel Villegas-Martinez, Hans Henrik Odland, Lars-Egil Hammersbøen, et al.
IEEE Journal of Biomedical and Health Informatics|June 9, 2022
Automatic Detection of Aortic Valve Events Using Deep Neural Networks on Cardiac Signals From Epicardially Placed AccelerometerAli Wajdan, Tollef Struksnes Jahren, Manuel Villegas-Martinez, et al.
Journal of Magnetic Resonance Imaging : JMRI|July 1, 2024
Advanced Myocardial MRI Tissue Characterization Combining Contrast Agent-Free T1-Rho Mapping With Fully Automated AnalysisVictor de Villedon de Naide, Kalvin Narceau, Valery Ozenne, et al.
Annals of Biomedical Engineering|August 18, 2025
Continuous and Autonomous Monitoring of Changes in Left Ventricular dP/dt<sub>max</sub> Using an Epicardial AccelerometerVetle Christoffer Frostelid, Ali Wajdan, Manuel Villegas-Martinez, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Magma (New York, N.Y.)|June 22, 2024
The beating heart: artificial intelligence for cardiovascular application in the clinicManuel Villegas-Martinez, Victor de Villedon de Naide, Vivek Muthurangu, et al.
ESC Heart Failure|September 13, 2021
Shortening of time-to-peak left ventricular pressure rise (Td) in cardiac resynchronization therapyHans Henrik Odland, Manuel Villegas-Martinez, Stian Ross, et al.
Scientific Reports|November 19, 2020
Automatic detection of valve events by epicardial accelerometer allows estimation of the left ventricular pressure trace and pressure-displacement loop areaAli Wajdan, Magnus Reinsfelt Krogh, Manuel Villegas-Martinez, et al.
Scientific Reports|May 20, 2025
Deep neural network valve detection for accelerometer based cardiac monitoringAli Wajdan, Vetle Christoffer Frostelid, Manuel Villegas-Martinez, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Monitoring cardiac function by accelerometer - detecting start systole from the acceleration signal makes additional ECG recordings for R-peak detection redundantAli Wajdan, Magnus Reinsfelt Krogh, Manuel Villegas-Martinez, et al.
Frontiers in Physiology|June 20, 2022
Tracking Early Systolic Motion for Assessing Acute Response to Cardiac Resynchronization Therapy in Real TimeManuel Villegas-Martinez, Magnus Reinsfelt Krogh, Øyvind S Andersen, et al.
Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology|February 3, 2023
Pulse arrival time variation as a non-invasive marker of acute response to cardiac resynchronization therapyManuel Villegas-Martinez, Hans Henrik Odland, Lars-Egil Hammersbøen, et al.
IEEE Journal of Biomedical and Health Informatics|June 9, 2022
Automatic Detection of Aortic Valve Events Using Deep Neural Networks on Cardiac Signals From Epicardially Placed AccelerometerAli Wajdan, Tollef Struksnes Jahren, Manuel Villegas-Martinez, et al.
Journal of Magnetic Resonance Imaging : JMRI|July 1, 2024
Advanced Myocardial MRI Tissue Characterization Combining Contrast Agent-Free T1-Rho Mapping With Fully Automated AnalysisVictor de Villedon de Naide, Kalvin Narceau, Valery Ozenne, et al.
Annals of Biomedical Engineering|August 18, 2025
Continuous and Autonomous Monitoring of Changes in Left Ventricular dP/dt<sub>max</sub> Using an Epicardial AccelerometerVetle Christoffer Frostelid, Ali Wajdan, Manuel Villegas-Martinez, et al.
Pageof 2