Clinical trials: Arrhythmia Recognition
Arrhythmias
Determination and Comparison of Short-term Effectiveness of Three Methods Used for Recognition of Arrhythmias in People With Different Degrees of Medical Training (Advanced Life Support Workshop Participants-ALS): Randomized Controlled Educational Experiment.
Background: Arrhythmia recognition is a fundamental skill for the provider of advanced life support (ALS). Acquire it is difficult, leading to the birth of systematic methods in an attempt to simplify and optimize, however, it…
- Trial name
- NCT02664779
- Testing
- Arrhythmia diagnosis with the 10 steps method, Arrhythmia diagnosis with the 6 steps method, Arrhythmia diagnosis with the 4 steps method
- Where
- Colombia
- Volunteers
- 76 people, healthy volunteers welcome
- Sponsor
- Universidad Nacional de Colombia
Atrial Fibrillation (AF), Paroxysmal Atrial Fibrillation (PAF)
Multi-Centre Based Study Recognition of Atrial Fibrillation With the Corsano CardioWatch 287-2 System
This concerns a multi-center, single-arm, diagnostic accuracy study. In this study, a wristband that monitors heart rythm is assessed in clinical and free living conditions.
- Trial name
- COR-AF (NCT06955273)
- Testing
- Corsano CardioWatch 287-2
- Where
- Netherlands
- Volunteers
- 350 people, healthy volunteers welcome
- Sponsor
- Corsano Health B.V.
Arrhythmia Recognition, Patient Safety Attitudes
Case-Based Collaborative Learning for Arrhythmia Recognition in Novice Intensive Care Nurses
This randomized controlled trial evaluates the effectiveness of case-based collaborative learning (CBCL) in improving arrhythmia recognition and patient safety attitudes among novice intensive care nurses.
- Conditions
- Arrhythmia Recognition, Patient Safety Attitudes, Arrhythmia
- Trial name
- NCT07780448
- Testing
- Case-Based Collaborative Learning-Based Arrhythmia Education
- Where
- Turkey (Türkiye)
- Volunteers
- 72 people, healthy volunteers welcome
- Sponsor
- Naile ALANKAYA
Atrial Fibrillation, Heart Failure, Systolic
Machine Learning Enabled Time Series Analysis in Medicine
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.
- Trial name
- ME-TIME (NCT05802563)
- Testing
- fitness tracker
- Where
- Netherlands
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- HagaZiekenhuis