RESUMEN
Objective To study the shadowing effect when using UWB bio-radar to detect multiple static human targets to solve the problem in multi-target detection.Methods With simulated breathing apparatus as detection targets,the UWB bioradar multi static targets respiration detection experiment was designed,and the influences of distance and angle between targets and its respiratory frequency and amplitude on the shadowing effect were studied.Result The shadowing effect was mainly affected by the relative position of the multiple targets,while the respiratory frequency and amplitude of the target had less influence on it.Conclusion When multi static human targets are detected the shadowing effect does exist,and the effect mainly derives from the block of electromagnetic wave by the front target,while the change of respiratory parameters of the front target has little influence on the effect.
RESUMEN
Human gait involves a complex mechanism of muscular skeletal coordinated operation,which is specific and can be used as the basis of identity recognitions and clinical disease diagnoses.Human gaits have wide application value in the field of disaster rescue,battlefield ambulance,counter-terrorism,security,and medical and healthcare.The traditional contact-free gait detection technology mainly depends on optical images or ultrasound,which is susceptible to light,low visibility,obstacles,etc.In recent years,with the rapidly development of bio-radar technology,the bio-radar based contact-free human gait signal detection technology has shown more advantages.It can not be affected by light,can penetrate clothing,camouflage or even walls,and can operate in all-weathe,including low visibility weather conditions such as smog,smoke and fog.In this paper,the technical principles and methods of bio-radar based contact-free human gait detection technologies were discussed,the research status was summarized,and the development trendency was prospected.
RESUMEN
Physiological monitoring devices in modern clinical area are basically used electrodes or sensors directly touching the surface of human subject body, which will increase physiological and psychological load of the subjects. In order to realize non-contact monitoring of respiration and heartbeat, firstly, the micro bioradar was used to detect human body motion signal. Then, the respiration signal and heartbeat signal was extracted from the body-motion signal by using signal and conditioning circuits, digital filter and signal processing. Finally, the results of heart rate and breathing rate was wirelessly transmitted. The experimental results showed that the device for non-contact monitoring of respiration and heartbeat waveforms has advantages of small volume, low power consumption, which can realize the monitoring of physiological parameters in real time.