NCT07667452Recruiting
AI-Optimized Single-Feature Recognition Model for Heart Failure
Development and Application of a Single-Feature Recognition Model for Heart Failure With Artificial Intelligence-Optimized Algorithms
Source: ClinicalTrials.gov · Last updated 21 Jul 2026
Brief summary (registry, in English)
This prospective, single-center and observational study aims to develop and validate the single-feature artificial intelligence algorithm based on data collected via the wearable ECG patches in patients with heart failure (HF). The main question: Does the algorithm, using synchronized ECG and accelerometer signals from the ECG patches, achieve accurate detection of heart sounds (S1, S2, and in some patients S3, S4) compared with the Eko CORE 500 digital stethoscope in patients with acute exacerbation of HF? It aims to answer: Participants with confirmed HF (NYHA classification II-IV) will first undergo a 2-minute session of simultaneous ECG patches and digital stethoscope recordings, followed by standard 12-lead ECG, and then the repeated ECG patches and 2-minute heart sound recording session. Data will be used for algorithm training and validation. The primary endpoint is the accuracy of heart sound detection via the Vivalink ECG patches compared with the Eko CORE 500 digital stethoscope.
- Status (registry)
- Recruiting
- Study type
- Observational
- Enrollment
- 50 (estimated)
- First submitted
- 15 Jun 2026
- Start date
- Jul 2026
- Primary completion date
- Feb 2027
- Lead sponsor
- Vivalink
- Diseases
- Heart failure
- NCT number
- NCT07667452
What you commit to
- Study type: Observational
- Planned participants: 50
- From Jul 2026 to the primary completion date, Feb 2027
- 1 site in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Other illness
- Open wounds on the chest or the skin is allergic to the patches;
- Patients with severe comorbidities or unstable conditions, which may interfere with data collection during the study period;
- Other situations where the investigator believes the subject is not suitable to participate in this trial, such as those that may increase trial risk, affect the protocol compliance, or impair the subject's ability to complete the trial due to physical or psychological diseases or conditions.
Other
- Physical disabilities that prevent safe and thorough testing;
- Large amount of pericardial effusion, pericardial tamponade, pleural friction rub, pneumothorax, and a large amount of pleural effusion, which may affect data collection;
Who the study is looking for
- Age ≥ 18 years old;
- Body mass index (BMI) \< 35 kg/m²;
- Diagnosed with heart failure: according to "Chinese Guidelines for Diagnosis and Treatment of Heart Failure in 2024", "ESC Guidelines for Diagnosis and Treatment of Acute and Chronic Heart Failure in 2021", and "AHA/ACC/HFSA Guidelines for Management of Heart Failure in 2022";
- NYHA classification II - IV;
- Able to fully understand the purpose and process of the trial, and willing to sign the informed consent form.
Age in the registry: 18 years to - · Sex: All
Sites (1)
Sites in registry order. Pick your city on the disease page to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| Second Affiliated Hospital, School of Medicine, Zhejiang University Coordinator of this site? Confirm its status | Hangzhou | China | Recruiting |
This page is information, not medical advice. Discuss any trial with your doctor.