使用非接触式雷达传感器的不显眼的地震检测和监测

Nazia Gillani, T. Arslan
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引用次数: 3

摘要

经历震颤的人很难进行日常生活活动。简单而又必要的日常任务,比如吃饭、伸手和抓东西,对他们来说是一种挑战。临床评估被证明是主观的,可能不能提供一个人的震颤在一天中如何变化或从一个活动到另一个活动的真实情况。因此,远程监控至关重要。文献中确实存在一些远程评估方法,然而,这些方法都是基于可穿戴设备。这些解决方案需要个人持续佩戴设备。这项工作提出了一种解决方案,不仅可以远程和不显眼地检测,而且可以在个人进行日常生活活动时监测震颤。为汽车行业设计的调频连续波(FMCW)雷达传感器已配置用于监测这些动作震动。此外,利用信号处理技术将雷达采集的时间数据转换为时频数据。由此产生的结果可用于提取有关震颤的特性的有用临床信息,如频率、幅度和持续时间。
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Unobtrusive Detection and Monitoring of Tremors using Non-Contact Radar Sensor
People experiencing tremors, find it difficult to perform the activities of daily life. Simple yet essential everyday tasks such as eating, reaching out and grasping an object prove to be a challenge for them. Clinical assessment proves to be subjective and may not provide a true picture of how one's tremor changes throughout the day or varies from one activity to another. Hence, remote monitoring is vital. A few remote assessment approaches do exist in the literature, however, these are based on wearables. These solutions require the continuous wearing of the device, by the individual. This work presents a solution that can not only remotely and unobtrusively detect but also monitor tremors while individuals perform their daily life activities. A Frequency Modulated Continuous Wave (FMCW) radar sensor, designed for the automotive industry, has been configured to monitor these action tremors. Moreover, signal processing has been applied to convert temporal data acquired by the radar to time-frequency data. The results thus generated are used to extract useful clinical information regarding the peculiarities of tremor such as frequency, amplitude and time duration.
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