A Novel Non-Contact Detection and Identification Method for the Post-Disaster Compression State of Injured Individuals Using UWB Bio-Radar

A Novel Non-Contact Detection and Identification Method for the Post-Disaster Compression State of Injured Individuals Using UWB Bio-Radar

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Building collapse leads to mechanical injury, which is the main cause of injury and death, with crush syndrome as its most common complication.During the post-disaster search and rescue phase, if rescue personnel hastily remove heavy objects covering the bodies of injured individuals and fail to provide targeted medical care, ischemia-reperfusion injury may be triggered, leading to rhabdomyolysis.This may result in disseminated intravascular coagulation or acute respiratory distress syndrome, further leading Equine - Tack - Reins to multiple organ failure, which ultimately leads to shock and death.

Using bio-radar to detect vital signs and identify compression states can effectively reduce casualties during the search for missing persons behind obstacles.A time-domain ultra-wideband (UWB) bio-radar was applied for the non-contact detection of human vital sign signals behind obstacles.An echo denoising algorithm based on PSO-VMD Styling Lotion and permutation entropy was proposed to suppress environmental noise, along with a wounded compression state recognition network based on radar-life signals.

Based on training and testing using over 3000 data sets from 10 subjects in different compression states, the proposed multiscale convolutional network achieved a 92.63% identification accuracy.This outperformed SVM and 1D-CNN models by 5.

30% and 6.12%, respectively, improving the casualty rescue success and post-disaster precision.