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Life detection system using UWB Radar During Disaster

机译:在灾害期间使用UWB雷达的生命检测系统

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Ultra Wide Band radar renders a salient role in rescuing living beings during disasters or calamities. UWB radar is a kind of sensor that senses the human beings who are buried in the collapsed environment. In the existing system, keying the vital signs (heartbeat and breathing) in complex environment is challenging due to low Signal to Noise Ratio (SNR). The primary tool used for monitoring heartbeat is the voltage-derived Electro Cardio Gram (ECG). An Electrical signal causes the heart muscle to contract and affects the victim. The lack of first aid and medication facilities in the nearby region results in loss of many life. In the proposed system, by using Advanced Signal Processing approaches can identify the victims in complex environments. This can be done by using Data mining and Discrete Wavelet Transform (DWT) is in which a signal is split up in to a set of basic functions and it is required for clinical decision support. This paper presents an advanced signal mining which is the combination of signal processing and data mining. The proposed system is done by MATLAB. In this system the information will be collected and given it to first aid assistance team. The time consume will be reduced using UWB radar along with data mining.
机译:超宽带雷达在灾难或灾难中挽救生命方面发挥了重要作用。超宽带雷达是一种传感器,可以感应被埋在坍塌环境中的人类。在现有系统中,由于信噪比(SNR)低,在复杂环境中锁定生命体征(心跳和呼吸)非常困难。用于监视心跳的主要工具是电压衍生的心电图(ECG)。电信号导致心肌收缩并影响患者。附近地区缺乏急救和药物治疗设施,导致许多人丧生。在提出的系统中,通过使用高级信号处理方法可以识别复杂环境中的受害者。这可以通过使用数据挖掘和离散小波变换(DWT)来完成,在离散小波变换中,信号被分解为一组基本功能,并且是临床决策支持所必需的。本文提出了一种先进的信号挖掘技术,它是信号处理和数据挖掘的结合。所提出的系统由MATLAB完成。在该系统中,将收集信息并将其提供给急救团队。使用UWB雷达和数据挖掘将减少时间消耗。

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