visionSCG: Contactless Cardiovascular Monitoring
visionSCG
(Contactless Cardiovascular Monitoring via Computer Vision)
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.
© TaebiLab
Objective
Develop contactless methods for the monitoring of cardiovascular activity based on cardiovascular-induced vibrations of the body surface
Amirtahà Taebi
PI
Current members involved:
Skillsets
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Human subject studies
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Signal and image processing
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Machine learning
Sponsors
https://doi.org/10.1161/circ.150.suppl_1.4112524
https://doi.org/10.1038/s44325-024-00034-6
Controlled lab environment used to prove the feasibility of the idea of extracting chest vibrations from chest videos. © TaebiLab
https://doi.org/10.1161/circ.150.suppl_1.4112524
Selected Publications
Other Publications
Rahman, M., Taebi, A. (2024). Extracting Cardiovascular-Induced Chest Vibrations from Ordinary Chest Videos: A Comparative Study. 2024 IEEE Signal Processing in Medicine and Biology.
doi 10.1109/SPMB62441.2024.10842229
Rahman, M.M., Taebi, A. (2024). Contactless seismocardiography via Gunnar-Farneback optical flow. 2024 IEEE 20th International Conference on Body Sensor Networks, Chicago, IL.
doi 10.1109/BSN63547.2024.10780493
Rahman, M.M., Taghva, F., Taebi, A. (2024). Novel Contactless and AI-Based Method Can Determine Heart Rate and Cardiac-Induced Vibrations of Chest. Circulation 150 (Suppl_1): A4112524.
doi 10.1161/circ.150.suppl_1.4112524
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, Boston, MA.
