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Clinical Trial Summary

The goal of this observational cohort study is to investigate the potential of fitness trackers in combination with machine learning algorithms to identify cardiovascular disease specific patterns. Two hundred participants will be enrolled: 1. 50 with heart failure 2. 50 with atrial fibrillation 3. 100 (healthy) individuals without the former two conditions All participants are given a Fitbit device and monitored for three months. Researchers will compare differences in heart rate variability patterns between the groups and devise a machine learning algorithm to detect these patterns automatically.


Clinical Trial Description

n/a


Study Design


Related Conditions & MeSH terms


NCT number NCT05802563
Study type Observational
Source HagaZiekenhuis
Contact
Status Enrolling by invitation
Phase
Start date May 24, 2022
Completion date September 1, 2023

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