AUTHOR=Khan Faheem , Sherazi Saleh M. , Khan Naeem , Ashraf  Imran , Khan Fahad 

TITLE=Handling Radar Cross-Section Performance in Monitoring Vital Signs Under Constraint Conditions

JOURNAL=Frontiers in Signal Processing

VOLUME=Volume 1 - 2021

YEAR=2021

URL=https://www.frontiersin.org/journals/signal-processing/articles/10.3389/frsip.2021.742441

DOI=10.3389/frsip.2021.742441

ISSN=2673-8198

ABSTRACT=Two vital signs including heartbeat and respiratory rate are monitored in this work under two constraint situations; namely noise disturbance and intermittent observations. The existing scheme for finding, measuring and monitoring vital signs was Fourier Transform which could not deal with non-stationary process. As an alternative, the Wavelet Transforms are used in this work which is equally applicable to both stationary and non-stationary processes. In addition, the loss of output data may result in crucial implications in observing vital signs. Formerly, only un-interrupted data has been amalgamated in tracing vital signs. A novel adaptive ARMA-based scheme is proposed to obtain optimum estimated results in the presence of the above two critical scenarios. Simulation results obtained on real (practical) data show that the ARMA-based model produces similar vital signs as shown by clean and un-distorted data.