Clinical trials: ECG Pattern
Brugada ECG Patterns, Brugada Syndrome (BrS)
Unmasking Concealed Arrhythmia Syndromes
This study seeks to evaluate whether using non-invasive electrocardiograph (ECG) techniques, including long term ECG monitoring with wearable ECGs, can improve the detection of concealed Brugada syndrome.
- Trial name
- UCAS (NCT06988189)
- Testing
- 12-lead ECG, Continuous long term ambulatory ECG monitoring, Ultra-high-frequency ECG
- Where
- United Kingdom
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Imperial College London
ECG Brugada Pattern
Epicardial Ablation in Brugada Syndrome. An Extension Study of 500 BrS.Patients
This study represents an extension of a previous study (NCT02641431) on the acute and long-term benefit of epicardial ablation on elimination of both BrS-ECG pattern and VT/VF inducibility in 500 consecutive BrS patients.
- Trial name
- NCT03106701
- Testing
- Ablation
- Where
- Italy
- Volunteers
- 300 people
- Sponsor
- IRCCS Policlinico S. Donato
Brugada ECG Patterns
Detection of Electrocardiographic Brugada Patterns Using High Precordial Leads
Detection of prevalence of Brugada patterns in our locality in asymptomatic patients , by standard 12 lead ECG level and high precordial ECG level, measuring how much the high precordial leads is more sensitive in Brugada…
- Trial name
- NCT05116488
- Testing
- ECG(electrocardigraph)
- Volunteers
- 300 people
- Sponsor
- Assiut University
Myocardial Infarction, Acute, Artificial Intelligence
The ALERT-Pilot Study
the algorithm of artificial intelligent to diagnose myocardial infarction through prior surgery Electrocardiogram was established.
- Conditions
- Myocardial Infarction, Acute, Artificial Intelligence, ECG Pattern
- Trial name
- NCT03317691
- Testing
- electrocardiogram diagnosed by artificial intelligence
- Where
- China
- Volunteers
- 2,000 people
- Sponsor
- Shanghai 10th People's Hospital