For many diseases, treatment is more effective in the early stage of a disease; hence detection of the early signs of a disease is highly significant. Biomechanical motion can be such an early indicator. This paper proposes a novel method for monitoring biomechanical motion based on electromagnetic sensing techniques. The proposed method has the advantages of being non-invasive, easy to perform, of low cost, and highly effective. Theoretical models are set up to model the sensor responses and wearable sensor systems are designed. Experiments are performed to monitor various biomechanical movements, including eye blinking frequency, finger/wrist bending level and frequency. From experiments, both the fast blinking behavior with an average frequency of ~1.1 Hz and the slow blinking behavior with an average frequency of 0.4 Hz can be monitored; various finger-bending status are identified, such as the fast finger-bending with an average frequency of ~1.5 Hz and the slow finger-bending with an average frequency of ~1/6 Hz. Both simulations and measurement results indicate that the proposed electromagnetic sensing method can be used for biomechanical movement detection and the system has the advantages of being easy to put on / take off, and without the need for direct contact between sensors and human body.

中文翻译：

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基于电磁传感技术的用于生物力学运动监测的新型可穿戴传感器

对于许多疾病，在疾病的早期治疗更有效；因此，发现疾病的早期迹象非常重要。生物力学运动可以是这样一个早期指标。本文提出了一种基于电磁传感技术的生物力学运动监测新方法。所提出的方法具有非侵入性、易于执行、成本低和高效的优点。建立理论模型来模拟传感器响应并设计可穿戴传感器系统。进行实验以监测各种生物力学运动，包括眨眼频率、手指/手腕弯曲程度和频率。通过实验，可以监测平均频率为~1.1 Hz 的快速闪烁行为和平均频率为 0.4 Hz 的慢速闪烁行为；可以识别各种手指弯曲状态，例如平均频率为~1.5 Hz 的快速手指弯曲和平均频率为~1/6 Hz 的慢速手指弯曲。仿真和测量结果均表明，所提出的电磁传感方法可用于生物力学运动检测，该系统具有易于穿脱、无需传感器与人体直接接触的优点。