Observational Clinical Study for the Evaluation of Left Ventricular Filling Pressures Using Apple Watch and 12-Lead ECG Optimized by an Artificial Intelligence Algorithm
NCT07619196 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 200
Last updated 2026-06-01
Summary
Observational, non-interventional, prospective, open-label, single-center, non-randomized study of a CE-marked medical device used in its intended purpose.
Conditions
- Evaluation of Left Ventricular Filling Pressure in Cardiology
Sponsors & Collaborators
-
RCF@ICPS
lead OTHER
Principal Investigators
-
Laurent FIORINA, MD · RCF@ICPS
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2024-07-09
- Primary Completion
- 2025-04-30
- Completion
- 2025-04-30
Countries
- France
Study Locations
More Related Trials
-
Apple Watch Heart Failure Study
NCT04510779 ·Status: COMPLETED ·Phase: NA
-
Study on Cardiac Output Evaluation Based on Wearable Monitoring Data
NCT06938893 ·Status: NOT_YET_RECRUITING
-
Validation of Automated Cardiac Output Measurement
NCT03372863 ·Status: COMPLETED
-
Remote Monitoring and Optimization of Heart Failure Therapy
NCT07622472 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
Assessment of Left Ventricular Filling Pressure by Applying Artificial Intelligence Algorithms to Left Atrial Speckle-tracking Echocardiography
NCT05768698 ·Status: RECRUITING
-
AI-Optimized Single-Feature Recognition Model for Heart Failure
NCT07667452 ·Status: RECRUITING
-
Clinical Evaluation of a New Transpulmonary Thermodilution Method to Assess Thermodilution Cardiac Output, Global End Diastolic Volume and Extravascular Lung Water
NCT01405040 ·Status: COMPLETED
-
Prospective Evaluation of AI-ECG for SHD Detection
NCT07057466 ·Status: RECRUITING
-
A Study on the Effectiveness of the Application of an Artificial Intelligence Algorithm for Calibrating PPG With ECG to Improve the Accuracy of Atrial Fibrillation Burden Estimation
NCT06552468 ·Status: COMPLETED
-
Remotely Monitoring Patients With Chronic Conditions in Their Home
NCT03207802 ·Status: COMPLETED
-
Wearables and Artificial Intelligence in Advanced Heart Failure Care
NCT07051356 ·Status: NOT_YET_RECRUITING
-
An Exploratory Clinical Study Non-invasive Monitoring of Cardiac Outputs
NCT05734664 ·Status: COMPLETED ·Phase: NA
-
Novel On-body Evaluation of Cardiac Health for Oncology
NCT07158450 ·Status: ENROLLING_BY_INVITATION
-
Establishing a Non-invasive Method to Measure Your Heart's Performance
NCT02240979 ·Status: COMPLETED
-
International Multi-center Study to Validate an Early Warning Algorithm for Worsening Heart Failure
NCT04758429 ·Status: UNKNOWN
-
Diagnostic Efficacy of Connected WAtch ECG Versus External Holter ECG
NCT06420960 ·Status: RECRUITING ·Phase: NA
-
Smart Watch, Heart Rate and So2 in Cardiac Patients
NCT05199844 ·Status: COMPLETED
-
Machine Learning for Estimating Cardiorespiratory Fitness in Patients With Obesity
NCT07011108 ·Status: ACTIVE_NOT_RECRUITING
-
Vital Sign Comparison Between Lifelight and Standard of Care - Development
NCT04003662 ·Status: COMPLETED
-
Home-based Outpatient Multicenter Evaluation Using Electrocardiogram (HOME-ECG)
NCT07488052 ·Status: RECRUITING
-
Pilot Study of the QI Device for Monitoring of Patients With Congestive Heart Failure
NCT02343523 ·Status: COMPLETED
-
Evaluation of the BodyGuardian End-to-end Remote Monitoring Platform in an Outpatient Heart Failure Population
NCT01975402 ·Status: COMPLETED
-
Observational Study Designed to Detect Decompensation of Congestive Heart Failure (dCHF) Using a Non-Invasive Wearable Device
NCT07350759 ·Status: RECRUITING
-
Pressure Variability Study
NCT02943941 ·Status: COMPLETED ·Phase: NA
-
Applying Artificial Intelligence to the 12 Lead ECG for the Diagnosis of Pulmonary Hypertension: an Observational Study
NCT05942859 ·Status: ENROLLING_BY_INVITATION