Title |
Robotic magnetic navigation for ablation of human arrhythmias
|
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Published in |
Medical Devices : Evidence and Research, September 2016
|
DOI | 10.2147/mder.s96167 |
Pubmed ID | |
Authors |
Antoine Da Costa, Jean Baptiste Guichard, Cécile Roméyer-Bouchard, Antoine Gerbay, Karl Isaaz |
Abstract |
Radiofrequency treatment represents the first choice of treatment for arrhythmias, in particular complex arrhythmias and especially atrial fibrillation, due to the greater benefit/risk ratio compared to antiarrhythmic drugs. However, complex arrhythmias such as atrial fibrillation require long procedures with additional risks such as X-ray exposure or serious complications such as tamponade. Given this context, the treatment of arrhythmias using robotic magnetic navigation entails a technique well suited to complex arrhythmias on account of its efficacy, reliability, significant reduction in X-ray exposure for both patient and operator, as well as a very low risk of perforation. As ongoing developments will likely improve results and procedure times, this technology will become one of the most modern technologies for treating arrhythmias. Based on the literature, this review summarizes the advantages and limitations of robotic magnetic navigation for ablation of human arrhythmias. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 40% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 40% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Scientists | 1 | 20% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 28 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 14% |
Student > Master | 3 | 11% |
Researcher | 3 | 11% |
Professor | 2 | 7% |
Student > Doctoral Student | 1 | 4% |
Other | 4 | 14% |
Unknown | 11 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 8 | 29% |
Medicine and Dentistry | 6 | 21% |
Agricultural and Biological Sciences | 1 | 4% |
Veterinary Science and Veterinary Medicine | 1 | 4% |
Computer Science | 1 | 4% |
Other | 0 | 0% |
Unknown | 11 | 39% |