Trial results for a study investigating Atrial Fibrillation were posted on ClinicalTrials.gov on 2026-01-30, reporting a mean Atrial Fibrillation (AF) Cycle Length of 171.64 ms in the full cohort.
Background
Atrial Fibrillation (AF) is the most common sustained cardiac arrhythmia, characterized by rapid and irregular heartbeats originating from the atria. It can lead to serious complications such as stroke, heart failure, and reduced quality of life. Catheter ablation is a common treatment strategy for AF, aiming to eliminate the sources of the irregular electrical activity. Understanding the AF cycle length and the complexity of electrical signals during ablation procedures is crucial for guiding treatment and improving outcomes. The study aimed to assess a novel Signal Complexity Visualization algorithm, intended for integration into systems like the CathVision ECGenius® System, to enhance the analysis of electrophysiological data during these procedures.
Trial design
This completed study enrolled 21 participants with Atrial Fibrillation. The trial's primary objective was to collect electrophysiological data during AF ablation procedures. This data was then used to assess the performance of a Signal Complexity Visualization algorithm, which is designed for integration into the CathVision ECGenius® System.
Key results
The trial reported one key measurement for the full cohort:
- Measurement of AF Cycle Length:
- The mean AF Cycle Length was 171.64 ms (Standard Deviation 27.23).
What this means
The posted results provide a specific measurement of the Atrial Fibrillation Cycle Length from a cohort of 21 participants undergoing AF ablation. This mean value of 171.64 ms, with a standard deviation of 27.23 ms, contributes to the electrophysiological data collected for assessing the performance of the Signal Complexity Visualization algorithm. While these results offer descriptive data, the study's focus was on data collection for algorithm assessment rather than comparative efficacy or safety outcomes. This information can be valuable for researchers and developers working on tools to analyze AF signals during ablation procedures.
Source
The information regarding these trial results was obtained from ClinicalTrials.gov, a public database of clinical studies. The results for the study NCT05477602, titled "The Automated Calculation of AF Cycle Length and Complexity Using a Novel EP Recording System", were posted on 2026-01-30 on clinicaltrials.gov.