ArticleHeart rhythm2016
Validation of electromechanical wave imaging in a canine model during pacing and sinus rhythm.
Article in Heart rhythm, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 27 citations in OpenAlex.
- Biventricular electromechanical dysfunction and molecular remodeling in a rat model of advanced pulmonary arterial hypertension.Journal of translational medicine · 2025Article
- Article
- Simultaneous Widefield Voltage and Dye-Free Optical Mapping Quantifies Electromechanical Waves in Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes.ACS photonics · 2023Article
- A New Electromechanical Wave Imaging Dispersion Metric for the Characterization of Ventricular Activation in Different Cardiac Resynchronization Therapy Pacing Schemes.IEEE transactions on bio-medical engineering · 2023Article
- Cardiac Resynchronization Therapy Response Assessment with Electromechanical Activation Mapping within 24 Hours of Device Implantation: A Pilot Study.Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography · 2021Article
- Noninvasive localization of cardiac arrhythmias using electromechanical wave imaging.Science translational medicine · 2020Article
- 4D cardiac electromechanical activation imaging.Computers in biology and medicine · 2019Article
- Localization of Accessory Pathways in Pediatric Patients With Wolff-Parkinson-White Syndrome Using 3D-Rendered Electromechanical Wave Imaging.JACC. Clinical electrophysiology · 2019Article
- Non-invasive Characterization of Focal Arrhythmia with Electromechanical Wave Imaging in Vivo.Ultrasound in medicine & biology · 2018Article
- Reproducibility and Angle Independence of Electromechanical Wave Imaging for the Measurement of Electromechanical Activation during Sinus Rhythm in Healthy Humans.Ultrasound in medicine & biology · 2017Article
- Technical Note: A 3-D rendering algorithm for electromechanical wave imaging of a beating heart.Medical physics · 2017Article
- Evaluation of Coronary Artery Disease Using Myocardial Elastography with Diverging Wave Imaging: Validation against Myocardial Perfusion Imaging and Coronary Angiography.Ultrasound in medicine & biology · 2017Article
- Imaging the Propagation of the Electromechanical Wave in Heart Failure Patients with Cardiac Resynchronization Therapy.Pacing and clinical electrophysiology : PACE · 2017Review
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundAccurate determination of regional areas of arrhythmic triggers is of key interest to diagnose arrhythmias and optimize their treatment. Electromechanical wave imaging (EWI) is an ultrasound technique that can image the transient deformation in the myocardium after electrical activation and therefore has the potential to detect and characterize location of triggers of arrhythmias.
objectivesThe objectives of this study were to investigate the relationship between the electromechanical and the electrical activation of the left ventricular (LV) endocardial surface during epicardial and endocardial pacing and during sinus rhythm as well as to map the distribution of electromechanical delays.
methodsIn this study, 6 canines were investigated. Two external electrodes were sutured onto the epicardial surface of the LV. A 64-electrode basket catheter was inserted through the apex of the LV. Ultrasound channel data were acquired at 2000 frames/s during epicardial and endocardial pacing and during sinus rhythm. Electromechanical and electrical activation maps were synchronously obtained from the ultrasound data and the basket catheter, respectively.
resultsThe mean correlation coefficient between electromechanical and electrical activation was 0.81 for epicardial anterior pacing, 0.79 for epicardial lateral pacing, 0.69 for endocardial pacing, and 0.56 for sinus rhythm.
conclusionThe electromechanical activation sequence determined by EWI follows the electrical activation sequence and more specifically in the case of pacing. This finding is of key interest in the role that EWI can play in the detection of the anatomical source of arrhythmias and the planning of pacing therapies such as cardiovascular resynchronization therapy.
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