Improving screening for hypertrophic cardiomyopathy using advanced technology
A multi-modal approach for efficient, point-of-care screening of hypertrophic cardiomyopathy
This study is working on a new way to help doctors quickly and accurately spot hypertrophic cardiomyopathy (HCM) using smart technology and wearable devices, making it easier for everyone to get checked for this heart condition.
Quick facts
| Grant type | Fellowship grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Yale University NIH-funded |
| Lab location | 1 site (New Haven, United States) |
| Project ID | NIH-11031296 on NIH RePORTER |
What this research studies
This research focuses on enhancing the screening process for hypertrophic cardiomyopathy (HCM), a common inherited heart condition. By utilizing advanced computational methods and wearable technology, the project aims to develop machine learning algorithms that can efficiently detect HCM at point-of-care settings. The approach includes adapting electrocardiographic signals from wearable devices and processing echocardiographic videos to improve diagnostic accuracy. This innovative method seeks to make HCM screening more accessible and effective for the general population.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals who may be at risk for hypertrophic cardiomyopathy, including those with a family history of the condition or presenting with relevant symptoms.
Not a fit: Patients who have already been diagnosed with hypertrophic cardiomyopathy or those without any risk factors for the condition may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to earlier and more accurate detection of hypertrophic cardiomyopathy, potentially reducing morbidity and mortality associated with the condition.
How similar studies have performed: Other research has shown promise in using machine learning and wearable technology for cardiovascular screening, indicating that this approach could be effective.
Where this research is happening
New Haven, United States
- Yale University — New Haven, United States (Active)
Researchers
- Principal investigator: Oikonomou, Evangelos — Yale University
- Study coordinator: Oikonomou, Evangelos
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.