Department of Mechanical Engineering, City University of Hong Kong, Hong Kong, China.
Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong, China.
Sci Adv. 2021 Mar 12;7(11). doi: 10.1126/sciadv.abf0795. Print 2021 Mar.
The prevention of work-related upper extremity musculoskeletal disorders (MSDs; e.g., neck pain and shoulder fatigue) requires frequent exercises of neck and shoulder that primarily rely on the assistance of joint motion monitoring devices. However, most available wearable healthcare sensors are rigid, bulky, and incapable of recognizing the full range of human motions. Here, we propose a kirigami-structured highly anisotropic piezoelectric network composite sensor that is able to monitor multiple information of joint motions, including bending direction, bending radius, and motion modes, and to distinguish them simultaneously within one sensor unit. On the basis of the modified template-assisted processing method, we design a functional piezoceramic kirigami with a honeycomb network structure that is stretchable (~100% strain), highly sensitive (15.4 mV kPa), and highly anisotropic to bending directions (17.3 times from 90° to 0°). An integrated monitoring system is further established to alarm the prolonged sedentary behaviors, facilitating the prevention of upper extremity MSDs.
预防与工作相关的上肢肌肉骨骼疾病（例如颈部疼痛和肩部疲劳）需要经常进行颈部和肩部运动，主要依赖于关节运动监测设备的辅助。然而，大多数现有的可穿戴医疗保健传感器都是刚性的、体积庞大的，并且无法识别人体运动的全部范围。在这里，我们提出了一种折纸结构的各向异性压电网络复合传感器，能够监测关节运动的多种信息，包括弯曲方向、弯曲半径和运动模式，并能够在一个传感器单元中同时对它们进行区分。基于改进的模板辅助处理方法，我们设计了一种具有蜂窝网络结构的功能压电折纸，它具有可拉伸性（可达 100%应变）、高灵敏度（15.4 mV kPa）和对弯曲方向的各向异性（从 90°到 0°方向可达 17.3 倍）。进一步建立了一个集成监测系统来报警长时间久坐行为，有助于预防上肢肌肉骨骼疾病。
