The aging population and the increasing prevalence of chronic diseases in the elderly have brought a significant economic burden to families and society. The non-invasive wearable sensing system can continuously and real-time monitor important physiological signs of the human body and evaluate health status. In addition, it can provide efficient and convenient information feedback, thereby reducing the health risks caused by chronic diseases in the elderly. A wearable system for detecting physiological and behavioral signals was developed in this study. We explored the design of flexible wearable sensing technology and its application in sensing systems. The wearable system included smart hats, smart clothes, smart gloves, and smart insoles, achieving long-term continuous monitoring of physiological and motion signals. The performance of the system was verified, and the new sensing system was compared with commercial equipment. The evaluation results demonstrated that the proposed system presented a comparable performance with the existing system. In summary, the proposed flexible sensor system provides an accurate, detachable, expandable, user-friendly and comfortable solution for physiological and motion signal monitoring. It is expected to be used in remote healthcare monitoring and provide personalized information monitoring, disease prediction, and diagnosis for doctors/patients.
人口老龄化及老年人慢性病患病率的增加，给家庭和社会带来了巨大的经济负担。新型非侵入式可穿戴传感系统不仅可以连续实时地监测人们的重要生理体征，评估个人健康状况，并且可以提供高效、便捷的信息反馈，从而减轻老年人慢性病带来的健康风险。本文围绕可穿戴生理信号及运动信号监测，开发了一套针对人体生理信号和行为信号检测的可穿戴系统，探索了柔性可穿戴传感技术的设计以及在传感系统中的应用。系统包含了智能帽、智能衣、智能手套和智能鞋垫，可实现对人体生理信号和运动信号的长程连续监测。文章对系统进行了性能验证，同时将新型传感系统和商用设备进行比较。评估结果表明，新型系统的性能与现有系统相当。总之，新型柔性传感系统为生理和运动信号监测提供了一种精准、可拆卸、可扩展、用户体验友好和舒适的解决方案，有望用于远程医疗监测，为医生/患者提供个性化信息监测、疾病预测和诊断。.
Keywords: Body sensing network; Flexible wearable; Motion signal monitoring; Physiological signal monitoring.