Contact-Free Physiological Monitoring of Cardiorespiratory States Using Radar and Optical Sensors
Abstract
The paper summarizes a Doctoral Thesis that focuses on two new approaches for unobtrusive contact-free monitoring of cardiorespiratory and hemodynamic states. First approach is based on radar signals and proposes a novel branched neural network architecture for classification of hemodynamic scenarios. The second is based on RGB camera signals and proposes multi-wavelength depth-dependant photoplethysmogram reconstruction, allowing for single-site pulse transit time measurement and blood pressure estimation using a consumer camera.DOI:
https://doi.org/10.31449/inf.v48i3.7211Downloads
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