Monitoring Body Motions Related To Huntington Disease by Exploiting the 5G Paradigm

Daniyal Haider, O. Romain, J. Kernec, Syed Yaseen Shah, Malik Muhammad Umer Farooq, Zunaira Qadus
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引用次数: 6

Abstract

The modern wireless technology exploiting the full potential of 5G IoT is the future for healthcare sector. In the healthcare sector, the 5G technology will maximize the performance and will reduce the chances of damage to the patient by providing careful and advance activity monitoring scenarios. We have proposed the idea of monitoring different body posture in Huntington disease by exploiting the low cost wireless devices operating at 4.8 GHz frequency. The system captures the wireless channel information for three body motions and classification of these motions was performed by using support vector machine. The SVM used 10 time-domain features for the classification process by using three main kernel functions, such as, Linear, Polynomial and Radial basis function. The system minimizes all the external noise by using the microwave absorbing materials. This increases the performance and feasibility of sensing body motions.
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利用5G模式监测与亨廷顿病相关的身体运动
利用5G物联网的全部潜力的现代无线技术是医疗行业的未来。在医疗保健领域,5G技术将通过提供仔细和提前的活动监测场景,最大限度地提高性能,并减少对患者造成伤害的机会。我们提出了利用工作在4.8 GHz频率的低成本无线设备来监测亨廷顿病患者不同的身体姿势的想法。该系统捕获三种人体运动的无线信道信息,并利用支持向量机对这些运动进行分类。SVM采用线性、多项式和径向基函数三种主要核函数,利用10个时域特征进行分类。该系统通过使用微波吸收材料将所有外部噪声降至最低。这提高了感知身体运动的性能和可行性。
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