Clinical trials: Electrocardiography Education
Depression, Postpartum
Multimodal Biomarkers and Precision TMS for Postpartum Depression
The purpose of this study is to identify multimodal biological markers associated with postpartum depression (PPD) and to evaluate the effectiveness of precision brain stimulation treatment.
- Trial name
- MOTHER-TMS (NCT07757815)
- Testing
- Repetitive Transcranial Magnetic Stimulation (rTMS)
- Where
- 2 sites in Macau
- Volunteers
- 290 people, healthy volunteers welcome
- Sponsor
- University of Macau
Valvular Heart Disease Stenosis and Regurgitation (Diagnosis), Pulmonary Hypertension (Diagnosis)
Prospective Evaluation of AI-ECG for SHD Detection
AI-ECG-SHD is a multicentre prospective observational diagnostic accuracy study evaluating artificial intelligence-enhanced electrocardiography (AI-ECG) for the detection of structural heart disease in adults undergoing…
- Conditions
- Valvular Heart Disease Stenosis and Regurgitation (Diagnosis), Pulmonary Hypertension (Diagnosis), Heart Failure With Reduced Ejection Fraction (HFrEF; Diagnosis), Heart Failure With Preserved Ejection Fraction (HFpEF; Diagnosis)
- Trial name
- AI-ECG-SHD (NCT07057466)
- Testing
- Traditional 12-lead Electrocardiogram, Apple Watch Series 4 Single-lead Electrocardiogram, Eko Core 500 Digital Stethoscope 3-lead Electrocardiogram
- Where
- 6 sites in United Kingdom
- Volunteers
- 590 people
- Sponsor
- Imperial College London
Heart Failure, Pulmonary Arterial Hypertension
Non-invasive Pulmonary Artery Prediction (ADOPTS)
A proprietary machine-learning algorithm has been developed to model continuous pulmonary artery pressure (PAP), a physiologic marker of cardiopulmonary function.
- Trial name
- ADOPTS (NCT05641675)
- Testing
- right heart catheterization
- Where
- United States
- Volunteers
- 25 people
- Sponsor
- Silverleaf Medical Sciences INC
Aortic Valve Stenosis, Mitral Regurgitation
Phono- and Electrocardiogram Assisted Detection of Valvular Disease
The diagnosis of valvular heart disease (VHD), or its absence, invariably requires cardiac imaging. A familiar and inexpensive tool to assist in the diagnosis or exclusion of significant VHD could both expedite access to…
- Conditions
- Aortic Valve Stenosis, Mitral Regurgitation, Heart Murmurs, Valvular Heart Disease
- Trial name
- PEA-Valve (NCT03458806)
- Testing
- AS Algorithm 1, AS Algorithm 2, MR Algorithm 1
- Where
- United States
- Volunteers
- 156 people, healthy volunteers welcome
- Sponsor
- University of California, San Francisco
Electrocardiography (ECG), Clinical Competence
Gamification Versus E-Learning for Electrocardiogram Education
This randomized controlled study aims to compare the effectiveness of a gamification educational method and an e-learning educational method for electrocardiogram (ECG) education.
- Trial name
- NCT07646236
- Testing
- Gamification Educational Method, E-learning Educational Method
- Where
- Taiwan
- Volunteers
- 297 people, healthy volunteers welcome
- Sponsor
- Taiwan Municipal An-Nan Hospital-China Medical University
Pulmonary Hypertension
Development of an Algorithm to Detect Pulmonary Hypertension Using an Electronic Stethoscope
The major goal of the study is to determine whether phonocardiography (using the Eko DUO stethoscope which can capture a three lead ECG reading) can present features that relate to the presence of PH diagnosed by echocardiography…
- Trial name
- NCT05873387
- Testing
- Use of Eko DUO stethoscope (paired ECG/PCG)
- Where
- 3 sites in United States
- Volunteers
- 2,420 people, healthy volunteers welcome
- Sponsor
- Eko Devices, Inc.
Sports Cardiology, Preventive Cardiology
Deep Learning ECG Evaluation and Clinical Assessment for Competitive Sport Eligibility
The goal of this observationl study is to evaluate the possibility of building a Deep Learning (DL) model capable of analyzing electrocardiographic traces of athletes and providing information in the form of a probability…
- Conditions
- Sports Cardiology, Preventive Cardiology, Electrocardiogram, Artificial Intelligence
- Trial name
- VALETUDO (NCT06285084)
- Where
- Italy
- Volunteers
- 531 people, healthy volunteers welcome
- Sponsor
- I.R.C.C.S Ospedale Galeazzi-Sant'Ambrogio
Nursing Students, Nursing Skills
The Effect of Simulation-Based ECG Training on ECG Reading Skills of Nursing Students
Accurately analyzing ECG rhythms is a critical competency for nursing students. However, many students fail to achieve an adequate level of knowledge and skill in this area.
- Conditions
- Nursing Students, Nursing Skills, Simulation Based Learning, Simulation Training
- Trial name
- ECGNURSİNG (NCT07533838)
- Testing
- Simulation-based ECG training, Training
- Where
- Turkey (Türkiye)
- Volunteers
- 31 people, healthy volunteers welcome
- Sponsor
- Bartın Unıversity
Artificial Intelligence (AI), Artificial Intelligence (AI) in Diagnosis
A Deep-Learning-Enabled Electrocardiogram for Detecting Pulmonary Hypertension
This study aims to validate the use of an artificial intelligence-enabled electrocardiogram (AI-ECG) to screen for elevated PAP.
- Conditions
- Artificial Intelligence (AI), Artificial Intelligence (AI) in Diagnosis, Hypertension, Pulmonary
- Trial name
- ADDPH (NCT07079592)
- Testing
- AI-ECG Guidance
- Where
- Taiwan
- Volunteers
- 8,666 people
- Sponsor
- National Defense Medical Center, Taiwan
ATTR Amyloidosis With Cardiomyopathy, Heart Failure
Prospective Evaluation of Artificial Intelligence-enabled Screening for Transthyretin Amyloid Cardiomyopathy (ATTR-CM)
The TRACE-AI Diagnostic Study will evaluate the performance of artificial intelligence (AI) models applied to electrocardiograms (AI-ECG) and echocardiograms (AI-Echo) to identify transthyretin amyloid cardiomyopathy (ATTR-CM) in…
- Trial name
- TRACE-AI Yale (NCT07398950)
- Testing
- ATTR-CM AI-ECG and AI-Echo Model
- Where
- United States
- Volunteers
- 150 people
- Sponsor
- Yale University
Major Adverse Cardiovascular and Cerebrovascular Events (MACCE)
Prospective Validation of DL Model for Postoperative MACCE Prediction
This study aims to prospectively validate a deep learning model developed using retrospective data to predict major adverse cardiac and cerebrovascular events (MACCE) occurring within 30 days after non-cardiac surgery.
- Trial name
- NCT07054502
- Where
- South Korea
- Volunteers
- 7,000 people
- Sponsor
- Seoul National University Hospital
Myocardial Infarction or Chest Pain
ROMIAE (Rule-Out Acute Myocardial Infarction Using Artificial Intelligence Electrocardiogram Analysis) Trial
This study is a prospective multicenter observational study for external validation and model advancement of a deep learning based 12-lead electrocardiogram analysis algorithm targeting adult patients presenting to the emergency…
- Trial name
- ROMIAE (NCT05435391)
- Where
- South Korea
- Volunteers
- 8,814 people
- Sponsor
- CHA University
Heart Failure, Heart Failure With Reduced Ejection Fraction
AI-ECG for Time-Resolved Prediction of HFrEF
This study aims to develop and validate a deep learning-based electrocardiogram (ECG) model for predicting the future risk of heart failure with reduced ejection fraction (HFrEF).
- Conditions
- Heart Failure, Heart Failure With Reduced Ejection Fraction, Left Ventricular Dysfunction, Cardiac Remodeling
- Trial name
- NCT07519434
- Where
- China
- Volunteers
- 286,709 people, healthy volunteers welcome
- Sponsor
- Shanghai Zhongshan Hospital
Valvular Heart Disease Stenosis and Regurgitation, Valvular Heart Disease
Screening of Valvular Heart Disease Using Single-channel Electrocardiogram
It is a prospective, controlled, single-center, observational, non-randomized study. The study is planned to include at least 1000 patients over 18 years old in the training sample and 200 patients over 18 years old in the test…
- Trial name
- NCT07099417
- Testing
- No intervention (observational study)
- Where
- Russia
- Volunteers
- 1,200 people, healthy volunteers welcome
- Sponsor
- I.M. Sechenov First Moscow State Medical University
Nursing Education
Virtual Reality Versus Computer-Based Simulation in Electrocardiogram Education
The goal of this clinical trial is to compare the effects of immersive virtual reality (VR) simulation and computer-based simulation (CBS) with traditional laboratory practice on electrocardiogram (ECG) knowledge, practical…
- Trial name
- VR-CBS-ECG (NCT07468942)
- Testing
- Immersive Virtual Reality Simulation, Computer-Based Simulation, Traditional Laboratory Practice
- Where
- Turkey (Türkiye)
- Volunteers
- 90 people, healthy volunteers welcome
- Sponsor
- Koç University
Electrocardiography Education
ECG TRAİNİNG METHODS FOR PEDİATRİC RESİDENTS
This randomized controlled study evaluated the effectiveness of two electrocardiography (ECG) training methods among pediatric residents.
- Trial name
- NCT07837635
- Testing
- Conference-Based ECG Training, Small-Group Case-Based ECG Training
- Where
- Turkey (Türkiye)
- Volunteers
- 76 people, healthy volunteers welcome
- Sponsor
- Dr. Behcet Uz Children's Hospital
Coronary Artery Disease, Ischemic Heart Disease
Volatilome and Single-Lead Electrocardiogram Optimize Ischemic Heart Disease Diagnosis Using Machine Learning Models
This is a prospective, case-control, single-center, observational, non-randomized study. It is designed to evaluate the diagnostic accuracy of functional tests involving physical exertion monitored via a 12-lead ECG, combined…
- Conditions
- Coronary Artery Disease, Ischemic Heart Disease, Chronic Coronary Disease, Angina Pectoris
- Trial name
- NCT06181799
- Testing
- Mass spectrometry using the PTR TOF-1000 (IONICON PTR-TOF-MS - Trace VOC Analyzer, Eduard-Bodem-Gasse 3, 6020 Innsbruck, Austria (Europe).
- Where
- Russia
- Volunteers
- 80 people, healthy volunteers welcome
- Sponsor
- I.M. Sechenov First Moscow State Medical University
Epilepsy, Temporal Lobe, Drug Resistant Epilepsy
Studying Heart Rhythms With a Wearable Sensor to Detect and Predict Seizures in People With Epilepsy
The goal of this observational study is to understand heart rhythm changes in adults with epilepsy. It will also explore whether computer programs can use heart recordings to detect or predict seizures.
- Trial name
- EpHR-DP (NCT07835594)
- Testing
- Textile-based wearable electrocardiography
- Where
- Turkey (Türkiye)
- Volunteers
- 40 people, healthy volunteers welcome
- Sponsor
- Acibadem University
Structural Heart Abnormality, Valve Heart Disease
Capitalizing on AI to CapTure Undiagnosed Structural Heart Disease
Doctors are testing a new tool called EchoNext to see if it can help find heart problems earlier. EchoNext looks at the heart's electrical test, called an ECG, and uses artificial intelligence (AI) to check for signs of…
- Conditions
- Structural Heart Abnormality, Valve Heart Disease, Heart Diseases, Cardiovascular Diseases
- Trial name
- CACTUS (NCT07843004)
- Testing
- EHR Alert
- Where
- United States
- Volunteers
- 4,000 people
- Sponsor
- Pierre Elias
Electrocardiogram Interpretation, Nursing Education
Innovative Electrocardiogram Training Using Artificial Intelligence Clinical Scenarios for Nursing Staff
Background and Purpose Accurate interpretation of an Electrocardiogram is a vital skill for nursing staff to ensure patient safety and timely intervention in cardiovascular care.
- Conditions
- Electrocardiogram Interpretation, Nursing Education, Clinical Reasoning, Artificial Intelligence
- Trial name
- NCT07455357
- Testing
- Artificial Intelligence Driven Scenario-Based Learning Software, Traditional Electrocardiogram Educational Program
- Where
- Egypt
- Volunteers
- 64 people, healthy volunteers welcome
- Sponsor
- Alexandria University