Back to search

Article

Accessory pathway localization with probabilistic density maps generated by a mobile application: Validation of a full preexcitation net-vector method

2024-04-12

Abstract excerpt

<h4>Introduction: </h4> Precise electrocardiographic localization of accessory pathways (AP) can be challenging. Seminal AP localization studies were limited by complexity of algorithms and sample size.We aimed to create a non-algorithmic method for AP localization based on color-coded maps of AP distribution generated by a web-based application. <h4>Methods: </h4>. APs were categorized into 19 regions/types base...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
101649c8-34d1-5d91-80ce-98ddd8586e16
DOI
10.22541/au.171291769.90319545/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Accessory pathway localization with probabilistic density maps generated by a mobile application: Validation of a full preexcitation net-vector methodDOI 10.22541/au.171291769.90319545/v1
Select a neighboring publication to make it the new centre.