Taebi Lab Logo
Lehigh University Logo
More than

$750K

in Research Support

Cardiovascular conditions continue to claim lives at an alarming rate, with one death every 34 seconds in the U.S. alone. With timely diagnoses facilitated by our innovative methods, patients will receive earlier referrals to medical teams, leading to improved outcomes and a higher quality of life. Our research primarily centers on the analysis of body vibrations, with the aim of transforming our solutions into powerful bedside or cost-effective home monitoring tools through close collaboration with clinical and industrial partners. Our ultimate goal is to reduce mortality rates, optimize medical therapy, reduce hospital stays, and improve the lives of patients affected by cardiovascular diseases.

Trained Mentees

25+

Pending & Active Patents

3

Scientific Papers

50+

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%

Other Ongoing Projects

We are dedicated to developing innovative and noninvasive methods for monitoring and early diagnosis of cardiovascular diseases by measuring and analyzing cardiovascular-induced vibrations on the body surface.

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Our Research is Supported By

Dr. Amirtahà Taebi

Assistant Professor of Bioengineering

Principal Investigator

Dr. Amirtahà Taebi is an Assistant Professor of Bioengineering at Lehigh University. He is a recipient of the National Science Foundation (NSF) CAREER award and was named an ASME Rising Star of Mechanical Engineering. He was also recognized with an honorable mention for the Skalak Award by the ASME Bioengineering Division.

His work focuses on developing AI-powered sensing technologies, wearable and contactless monitoring systems, and digital twin modeling to advance noninvasive cardiovascular diagnostics. His research has been supported by local, state, and federal agencies, including the NSF, NIH, and Mississippi Institutions of Higher Learning.

Meet the PI