Deep learning method for analyzing heart muscle work in heart failure
Tests a computer method that analyzes heart muscle work in people with heart failure.
Plain-language title generated from the registry record
Registry title: Deep Learning-Based Automated Pressure-Strain Loop Analysis
Key facts
- Where
- Trondheim, NorwaySee the site
Where in Norway
- St Olavs HospitalTrondheim, NorwayNo longer taking part
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
- Norwegian University of Science and Technology
- Trial code
- NCT07850726
- Record updated
- 30 September 2026
- Original description
Noninvasive left ventricular pressure-strain loop analysis estimates myocardial work from longitudinal strain, brachial systolic blood pressure, and cardiac valve-event timing. It provides global work index, constructive work, wasted work, and work efficiency.Read full original descriptionShow less
Deep Learning-Based Automated Pressure-Strain Loop Analysis
Noninvasive left ventricular pressure-strain loop analysis estimates myocardial work from longitudinal strain, brachial systolic blood pressure, and cardiac valve-event timing. It provides global work index, constructive work, wasted work, and work efficiency.
This study evaluates a deep-learning method that automates myocardial work and loop-shape analysis. The method may reduce analysis time, improve reproducibility, and identify patterns associated with heart failure.
Inclusion: Heart failure participants:; Age ≥18 years; Able to provide informed consent; Previous myocardial infarction; Left ventricular ejection fraction ≤40% after myocardial infarction; Healthy volunteers:; Age ≥18 years; Able to provide informed consent.
Exclusion: Heart failure participants:; Unstable disease; Hypertension; Diabetes mellitus; Significant systemic disease; Cardioactive medication affecting heart rate, myocardial contractility, or vascular tone; Echocardiographic findings suggesting structural heart disease; Contraindication to exercise testing or echocardiography, as judged by an experienced cardiologist; Healthy volunteers:; Dyslipidemia; Current smoking; Pregnancy.