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基于超宽带系统的颅脑损伤检测识别技术研究

Research on Craniocerebral Injury Recognition Technology Based on Ultra-wideband System

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【作者】 张泽堃李斌刘珩宗睿王彬华

【Author】 ZHANG Zekun;LI Bin;LIU Heng;ZONG Rui;WANG Binhua;Beijing Institute of Technology, School of Information and Electronics;School of Information and Electronics, Beijing Institute of Technology,The First Medical Center,Chinese PLA General Hospital;Disaster Medicine Research Center, Medical Innovation Department, Chinese PLA General Hospital;

【通讯作者】 张泽堃;

【机构】 北京理工大学信息与电子学院中国人民解放军总医院第一医学中心中国人民解放军总医院医学创新研究部灾害医学研究中心

【摘要】 颅脑损伤作为病残甚至死亡的有效原因,需要快速有效的手段来实现病况的有效检测与分类。为实现有效可靠的颅脑损伤检测诊断并探究不同频段对其有效性,本文使用0.5GHz-2.5GHz超宽带信号分别对羊头进行了脑出血、脑异物模拟分析实验。实验结果表明微波检测手段可靠有效,其中在信号相位方面,出血与异物相对于原始的正常羊头检测信号差异性达到了484%与226%,幅值方面达到了199%与133%,且差异值随信号频段降低略有提升。

【Abstract】 Craniocerebral injury is an effective cause of disability and even death, and rapid and effective methods are needed to achieve effective detection and classification of disease conditions. In order to achieve craniocerebral injury detection and explore the effectiveness of different frequency bands, the paper uses ultra-wideband signals with a frequency of 0.5 GHz-2.5 GHz to conduct brain hemorrhage and abnormal substance simulation experiments on sheep’s heads. The experimental results show that the method is reliable, and in terms of signal phase, the hemorrhage and abnormal substance in the brain compared with the original normal head detection signal reached 484% and 226% respectively, the amplitude reached 199% and 133%. The difference value increases slightly as the signal attenuation decreases.

【基金】 国家自然科学基金(61971038)与(61971036)
  • 【文献出处】 生命科学仪器 ,Life Science Instruments , 编辑部邮箱 ,2021年01期
  • 【分类号】TN911.7;R651.15
  • 【被引频次】1
  • 【下载频次】50
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