We harness the power of technology to revolutionize the way we monitor heart function and diagnose cardiovascular diseases. By measuring the vibrations generated by cardiac activities such as valve opening and closure, we are able to noninvasively gather critical diagnostic information. Our expertise in computational models, signal processing, and machine learning allows us to accurately characterize these signals, leading to the development of innovative cost-effective methods for monitoring and diagnosis of cardiovascular diseases. With a focus on precision and accuracy, our work has the potential to improve patient outcomes and change the future of healthcare, particularly within low-income populations and underserved areas.

Objective

DDevelop cost-effective methods for monitoring and early diagnosis of cardiovascular diseases based on cardiovascular-induced vibrations measured noninvasively on the body surface

Skillsets

• Human subject studies
• Signal and image processing
• Machine learning
• Computational fluid dynamics and finite element modeling
• Sensor array design

Researchers

Current members involved

Past members involved