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Implementation and testing of a secure fall detection system for Body Area Networks

机译:人体局域网安全跌倒检测系统的实施和测试

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As the average age of the people in the Western world increases, so does the number of orthopaedic medical treatments due to falls. A method for better treatment of this type of injuries consists of early and accurate fall detection. We present an implementation and test of the system for accurate fall detection. First, a number of tests were performed to get thresholds for distinguishing falls from fall-like or normal behaviour. Then, the algorithm was implemented and tested on Biomobius, a technology platform, which allows researcher to rapidly develop sophisticated technology solutions for biomedical research. Sensors for gathering the acceleration data were part of the Tyndall Mote, a wireless sensor platform designed at Tyndall National Institute, Cork. Data is transmitted wirelessly to the PC. Therefore, since security has to be also considered in such medical systems, an encryption system is also implemented and tested on a low power microprocessor.
机译:随着西方世界人民平均年龄的增加,由于摔倒而导致的骨科治疗的次数也在增加。更好地治疗此类伤害的方法包括早期和准确的跌倒检测。我们介绍了用于精确跌倒检测的系统实施和测试。首先,进行了许多测试以获取用于区分跌倒与跌倒或正常行为的阈值。然后,该算法在Biomobius(一个技术平台)上实施和测试,该平台使研究人员能够快速开发出用于生物医学研究的复杂技术解决方案。收集加速度数据的传感器是Tyndall Mote的一部分,该软件是由Cork Tyndall National Institute设计的无线传感器平台。数据无线传输到PC。因此,由于在这种医疗系统中还必须考虑安全性,因此还需要在低功率微处理器上实现并测试加密系统。

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