Novel automated point collection software facilitates rapid, high-density electroanatomical mapping with multiple
Leon M Ptaszek1, Boyce Moon2, Guy Rozen1
1Cardiac Arrhythmia Service, MGH Heart Center, Massachusetts General Hospital, Boston, MA, USA.
Journal of Cardiovascular Electrophysiology
|October 13, 2017
Summary
Automated 3D mapping significantly speeds up electroanatomical mapping (EAM) by increasing point density and reducing completion time. This novel system enhances cardiac mapping efficiency and accuracy.
Area of Science:
- Cardiovascular Electrophysiology
- Medical Imaging Technology
- Cardiac Anatomy
Background:
- Manual, point-by-point electroanatomical mapping (EAM) is time-consuming.
- Improving map completion time and point density are key goals in cardiac mapping.
Purpose of the Study:
- To develop and evaluate an automated 3D mapping system for cardiac electrophysiology.
- To enhance key mapping metrics such as completion time and point density.
Main Methods:
- Developed automated 3D mapping software with electrogram discrimination functions.
- Generated electroanatomical maps (EAMs) in swine using various catheters.
- Compared automated and manual 3D mapping across 12 catheter-chamber combinations.
Main Results:
- Automated 3D mapping yielded over double the points per map compared to manual methods (P ≤0.007).
- Map completion time was reduced by an average of 29% with automated mapping (P < 0.05).
- Minimal manual editing was required for automated 3D maps.
Conclusions:
- Automated 3D mapping is significantly faster than manual EAM, improving efficiency.
- The system achieves higher point density and shorter mapping times.
- Morphology discrimination effectively handles ectopic beats, enabling rapid mapping.
