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Non-invasive Cardiovascular Activity Monitoring

We harness the power of technology to revolutionize the way we monitor heart function and diagnose cardiovascular diseases. By measuring the sounds and 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.


---- Electrocardiography

to measure electrical

activity of heart

---- Stethoscope

to record heart sounds

---- Accelerometer

to measure cardiovascular-

induced vibrations

---- Respiration Belt

to record respiration rate


Develop early diagnosis method for cardiovascular diseases based on cardiovascular-induced sounds and vibrations measured noninvasively on the body surface

Amirtahà Taebi

Amirtahà Taebi


Current members involved:

Mohammad Muntasir Rahman
Aysha Mann
Sophia Ruckman
Jigar Bhatt

Past members involved:

Jadyn Cook
Muneebah Umar


  • Human subject studies

  • Signal and image processing

  • Machine learning

  • Computational fluid dynamics and finite element modeling

  • Sensor array design

  • Mann, A., Cook, J., Umar, M., Khalili, F., Taebi, A. (2022). Heart Rate Monitoring Using Heart Acoustics. ASME 2022 International Mechanical Engineering Conference and Exposition, V004T05A069.
    oi 10.1115/IMECE2022-96824

  • Khalili, F., Gamage, P.T., Taebi, A., Johnson, M.E., Roberts, R.B., Mitchell, J. (2021). Spectral decomposition of the flow and characterization of the sound signals generated through stenoses of different levels of severity. Bioengineering 8(3): 41.
    doi 10.3390/bioengineering8030041

  • Khalili, F., Gamage, P.T., Taebi, A., Johnson, M.E., Roberts, R.B., Mitchell, J. (2021). Spectral decomposition and sound source localization of highly disturbed flow through a severe arterial stenosis, Bioengineering 8(3): 34.
    doi 10.3390/bioengineering8030034

  • Taebi, A., Sandler, R.H., Kakavand, B., Mansy, H.A. (2019). Extraction of Peak Velocity Profiles from Doppler Echocardiography Using Image Processing. Bioengineering 6(3): 64.
    doi 10.3390/bioengineering6030064

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