Camera-based non-contact biosignal monitoring system for survivor monitoring in disaster situations

In disaster areas, personal bio-signal monitoring is directly related to the life of the rescued person, so accuracy is very important, and it must be measured quickly and performed non-contactly in a disaster situation. Representative bio-signals include oxygen saturation (SpO2), heart rate (HR), and respiratory rate (RR). In this study, we introduce a method to obtain bio-signals by measuring photoplethysmography (IPPG) using two cameras in the visible and near-infrared wavelengths. We also analyze the effects of image size, region of interest, and acquisition time. In order to evaluate the performance of the system, we tested it using a mouse, and presented the results of the accuracy of bio-signal acquisition according to each condition. These results are expected to be used as a product that evaluates the condition of the rescued person in real time through bio-signal measurement in the form of a camera that can be installed on the rescuer at a disaster site.