可穿戴计算机
医疗保健
计算机科学
可穿戴技术
人机交互
数据科学
嵌入式系统
经济增长
经济
作者
Jian Zhou,Qingbo Zhang,Ming Zhang,Subinuer Aikebaier,Zhu Xiao,Xiaorong Zhou
标识
DOI:10.1016/j.jare.2025.08.036
摘要
Core technologies involve carbon nanomaterials (e.g., graphene), liquid metals (structurally optimized for balanced conductivity and flexibility), and hydrogels (preferred as flexible substrates for mimicking natural soft tissues' mechanics and biocompatibility). Sensing technologies (PPG, EEG, sweat-based detection) enable non-invasive, real-time monitoring of vital parameters like blood pressure, glucose, and neural signals. AI decodes complex physiological data for predictive diagnosis, while IoT/5G integration advances telemedicine. Current limitations include poor sensor flexibility, lagging regulations, and large-scale production hurdles, contrasting with trends like advanced sensing, new materials, and hybrid diagnostic-therapeutic systems-highlighting flexible wearables' potential in intelligent healthcare.
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