可穿戴计算机
数码产品
可穿戴技术
外骨骼
材料科学
接口(物质)
康复
机器人
计算机科学
人机交互
嵌入式系统
人工智能
模拟
工程类
医学
电气工程
物理疗法
毛细管数
毛细管作用
复合材料
作者
Shanshan Wu,Jinhui Jeanne Huang,Jing Sun,Hui Xie,Shaobing Zhou
标识
DOI:10.1002/adfm.202303292
摘要
Abstract Rehabilitation is necessary for the recovery of patients with paralysis caused by stroke and muscle atrophy. Wearable electronics can provide feedback on physical training and facilitate healthcare. However, most existing wearable electronics are difficult to maintain a conformal skin‐device interface. Additionally, the use of non‐degradable electronic materials is associated with environmental risks. Herein, ionogels with biodegradation and shape‐memory properties as eco‐friendly and geometry‐adaptive wearable electronics for rehabilitation are proposed. The biodegradation is enabled by incorporating polycaprolactone segments into the ionogel matrix. Moreover, the ionogel‐based wearable electronics can be conformal to certain joints by shape programming, and provide stable and reproducible real‐time signals reflecting joint movements during long‐term rehabilitation training assisted by a robotic glove, facilitating carers to assess rehabilitation efficacy and choose an appropriate scheme. This study demonstrates the potential of biodegradable shape‐memory ionogels as green and adaptive wearable electronics for robot‐assisted rehabilitation.
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