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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.

visionSCG

Objective

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

Skillsets

  • Human subject studies
  • Signal processing
  • Computer vision
  • Machine learning

Researchers

Lead Researcher
Dr. Amirtahà Taebi

Principal Investigator

Current members involved

Past members involved

Sponsors

From Video to Vital Signs

We develop a technology that transforms ordinary smartphone cameras into cardiac imaging tools, enabling the extraction of key cardiac health metrics from simple chest videos.

Equitable Accuracy
Our tech is robust and delivers consistent accuracy across diverse populations, regardless of skin tone, gender, or ethnicity.
Accurate Insights
Our tech accurately derives key cardiac metrics, such as heart rate, from chest videos.
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Cross-Population Accuracy 100%
Result Accuracy 85%
Data Processing Efficiency 90%

Related Publications

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visionSCG

Contactless cardiovascular monitoring
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Non-invasive low-cost cardiovascular activity monitoring
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