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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

Amirtahà Taebi

Amirtahà Taebi

PI

Current members involved:

Mohammad Muntasir Rahman

Skillsets

  • Human subject studies

  • Signal and image processing

  • Machine learning

Sponsors

Selected Publications

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. 2023 IEEE 19th International Conference on Body Sensor Networks (BSN), Boston, MA.

doi 10.1109/BSN58485.2023.10331617

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