Enhancing Disaster Response with Bioinformatics: A Digital Mobile Command Analysis for Air and Sky Scenarios

Abstract

This study explores the integration of radar technology with bioinformatics signal processing to enhance disaster response capabilities through non-contact and long-distance detection of human physiological signals, such as heartbeats and respiration, across barriers such as walls, ruins, and clothing. Utilizing the IR-UWB BioRadar as the core hardware platform, this research advances the development of a digitalized "Air-Terrestrial" frontline mobile command system. In simulated post-disaster scenarios involving trapped casualties under compression confinement, the IR-UWB BioRadar was employed to capture and analyze vital physiological data. The focus was on assessing time-domain heart rate variability (HRV) and respiratory signals to monitor the health and stress levels of individuals in real-time. The findings reveal that under a compression of 100 kPa, the primary respiratory frequency registered at approximately 0.33 Hz, with notable increases in respiratory rate and decreases in stability, indicating stress and potential cardiac irregularities due to increased external pressure. By leveraging bioinformatics techniques to process and interpret physiological data, this paper proposes a novel approach for constructing an integrated digital frontline mobile command center. This system is designed to function effectively within complex disaster environments, providing rapid, accurate assessments of victim conditions, thereby enhancing rescue operations and medical response strategies. The application of such advanced bioinformatics in the field of disaster management opens new pathways for improving emergency response mechanisms, ultimately saving lives and mitigating the impacts of disasters.