Detecting concussion impairment with radar using gait analysis techniques
Detecting concussion impairment with radar using gait analysis techniques
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使用步态分析技术通过雷达检测脑震荡损伤
DOI：
10.1109/radar.2011.5960532
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
E. Greneker
中科院分区：
文献类型：
--
作者：
J. Palmer;K. Bing;Amy C. Sharma;E. Greneker
一些研究表明，测量步态的变化可以为诊断和监测脑震荡提供一种更容易的方法。这项研究的目的是测量雷达信号的回波，以探索是否可以从雷达频谱数据中识别出正常人和脑震荡患者之间步态模式的差异。在这项可行性研究期间，无法接触到脑震荡患者。取而代之的是，基于证明血液酒精含量(BAC)等于脑震荡损害的研究，BAC损害护目镜被用来视觉模拟脑震荡。“受损”和“未受损”的人都被要求只完成运动技能任务，然后同时完成运动技能和认知技能任务。使用信息理论(IT)技术对这些结果进行了分析。IT算法之所以被选择，是因为它们可以识别相似和不同之处，而不需要关于个人的先验知识。建立受试者工作特征(ROC)曲线以选择适当的判定指数D(Q)，即可接受的真阳性和假阳性百分率的值。
Several studies have shown that measuring changes in gait could provide an easier method of diagnosing and monitoring concussions. The purpose of this study was to measure radar signal returns to explore if differences in gait patterns between normal and “concussed” individuals could be identified from radar spectrogram data. Access to concussed individuals was not available during this feasibility study. Instead, based on research that demonstrated a blood alcohol content (BAC) of 0.05% was equivalent to concussion impairment, BAC impairment goggles were used to visually simulate a concussion. Both “impaired” and “not impaired” individuals were asked to complete only motor skill tasks and then complete motor skill and cognitive skill tasks simultaneously. These results were analyzed using informationtheoretic (IT) techniques. IT algorithms were chosen because of their potential to identify similarities and differences without having the requirement of a priori knowledge on an individual. Receiver operating characteristic (ROC) curves were created to select the appropriate decision index, D(Q), values for acceptable true positive and false positive percentages.