Checking a Home Heart Tracing Tool That Looks for Weak Heart Pumping
Checks if a smartwatch heart tracing can spot weak heart pumping in adults.
Plain-language title generated from the registry record
Registry title: Home-based Outpatient Multicenter Evaluation Using Electrocardiogram (HOME-ECG)
Key facts
- Where
- Taipei, TaiwanSee the site
Could this be for you?
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 20 and 90 years old?
Source: NCT07488052, who can take part
Where in Taiwan
- Taipei Medical University WanFang Hospital; Far Eastern Memorial Hospital; Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation; Chi Mei Medical Hospital; and China Medical University HospitalTaipei, TaiwanTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- National Defense Medical Center, Taiwan
- Trial code
- NCT07488052
- Record updated
- 25 March 2026
- Original description
This prospective multicenter observational study will validate the accuracy of a previously developed artificial intelligence-enabled single-lead electrocardiogram (AI-ECG) model for identifying low ejection fraction and other structural heart disease phenotypes. Adult participants receiving a model-compatible single-lead electrocardiogram (ECG) (Apple Watch and QOCA ECG102D) and transthoracic echocardiography at five hospitals in Taiwan will be enrolled between March 1, 2026 and June 30, 2026. Model predictions will be compared with echocardiographic reference standards obtained within 30 days after the index ECG.Read full original descriptionShow less
Prospective Multicenter Validation of a Home-Based Artificial Intelligence Enabled Single-Lead Electrocardiogram for Detecting Low Ejection Fraction and Structural Heart Disease
This prospective multicenter observational study will validate the accuracy of a previously developed artificial intelligence-enabled single-lead electrocardiogram (AI-ECG) model for identifying low ejection fraction and other structural heart disease phenotypes. Adult participants receiving a model-compatible single-lead electrocardiogram (ECG) (Apple Watch and QOCA ECG102D) and transthoracic echocardiography at five hospitals in Taiwan will be enrolled between March 1, 2026 and June 30, 2026. Model predictions will be compared with echocardiographic reference standards obtained within 30 days after the index ECG.
Inclusion: Age 20 years or older; Single-lead ECG recorded using a study-compatible device; Ability to comply with study procedures and, when applicable, provide informed consent according to local institutional review board (IRB) requirements; No transthoracic echocardiography performed within 90 days before the index ECG.
Exclusion: Echocardiography unavailable or technically inadequate for determining left ventricular ejection fraction (EF); ECG signal quality insufficient for prespecified AI analysis; No transthoracic echocardiography available within 30 days after the index ECG.