• Advanced Institute of Engineering and Technology (AVITECH)

  • Seminars

    July 04, 2020: Mr. Nguyen Dinh Chinh (VNU Univ. Eng. Tech.), Fast Heart Rate Estimation via Continuous-Wave-Doppler Radar System using Combination of Empirical Mode Decomposition and Continuous Wavelet Transform

    Contactless measurement of heart rate based on continuous-wave Doppler radar may act an essential role in the future of medical practice. The continuous-wave Doppler radar measures the displacement of wall chest induced by heart and respiration activities. The significant advantage of this technique is that patients are not constrained by biological electrodes attachments. Nevertheless, the signal collected by the Doppler radar that contains heartbeat signal is non-linear, non-stationary signal. Thus, reducing the measurement time while maintaining the accuracy of the heart rate estimation is a challenging task. We proposed a method that combines Empirical Mode Decomposition and Continuous Wavelet transform for a fast estimation of the heart rate using continuous-wave Doppler radar signals. This talk presents our research on fast heart rate estimation problem. In addition, some primary results are also included, and the further related open-research problems will be discussed in the talk.

    Speaker: Mr. Nguyen Dinh Chinh, VNU Univ. Eng. Tech.

    Time: 15:30, Saturday, July 04, 2020

    Venue: Webinar – Microsoft Teams

    speaker

    Nguyen Dinh Chinh, he got a bachelor degree in electronic and telecommunication technology from University of Engineering and Technology, Vietnam National University, Hanoi, in 2014. He had been working for University of Engineering and Technology from 2014 to 2019 as a teaching assistant. He also achieved a master’s degree in electronic and communication technology. He is a lecturer at International School, Vietnam National University, and a research collaborator in AVITECH, University of Engineering and Technology. His research interests are digital image processing, machine learning, biomedical signal processing, electronic design.

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