visionSCG: Contactless Cardiovascular Monitoring

We harness the power of technology to revolutionize the way we monitor heart function and diagnose cardiovascular diseases. By contactless measuring the vibrations generated by the 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 diagnosis methods for cardiovascular diseases. With a focus on precision and accuracy, our work has the potential to improve patient outcomes and change the future of healthcare.

Credit: TaebiLab

Objective

Develop contactless methods for the monitoring of cardiovascular activity based on cardiovascular-induced vibrations of the body surface

Researchers

Amirtahà Taebi

PI

Current members involved:

Skillsets

Human subject studies
Signal and image processing
Machine learning

Selected Publications

2023 - Scientific Reports

Non-contact heart vibration measurement using computer vision-based seismocardiography

In this paper, we propose a novel contactless SCG measurement method to extract cardiovascular-induced chest vibrations from chest videos recorded by a smartphone... Read more!
doi 10.1038/s41598-023-38607-7

Other Publications

Rahman, M.M., Taebi, A. (2023). Reconstruction of 3-Axis Seismocardiogram from Right-to-left and Head-to-foot Components Using A Long Short-Term Memory Network. arXiv preprint arXiv:2307.07566
doi 10.48550/arXiv.2307.07566

Full list of publications in Google Scholar