第一作者：Xie Liping

通讯作者：Liping Xie,Hong-bin Sun,Yanan Du

合写作者：Zelin Zhang,Qiushuo Wu, Zhuxuan Gao, Gaotian Mi,Renqiao Wang

论文名称：Intelligent wearable devices based on nanomaterials and nanostructures for healthcare

发表刊物：Nanoscale

期号：2

卷号：15

DOI码：10.1039/d2nr04551f

所属单位：College of Medicine and Biological Information Engineering, Northeastern University

教研室：物理化学

刊物所在地：ENGLAND

摘要：Emerging classes of flexible electronic sensors as alternatives to conventional rigid sensors offer a power
ful set of capabilities for detecting and quantifying physiological and physical signals from human skin in
 personal healthcare. Unfortunately, the practical applications and commercialization of flexible sensors
 are generally limited by certain unsatisfactory aspects of their performance, such as biocompatibility, low
 sensing range, power supply, or single sensory function. This review intends to provide up-to-date litera
ture on wearable devices for smart healthcare. A systematic review is provided, from sensors based on
 nanomaterials and nanostructures, algorithms, to multifunctional integrated devices with stretchability,
 self-powered performance, and biocompatibility. Typical electromechanical sensors are investigated with a
 specific focus on the strategies for constructing high-performance sensors based on nanomaterials and
 nanostructures. Then, the review emphasizes the importance of tailoring the fabrication techniques in order
 to improve stretchability, biocompatibility, and self-powered performance. The construction of wearable
 deviceswithhighintegration,highperformance,andmulti-functionalization for multiparameter healthcare is
 discussed in depth. Integrating wearable devices with appropriate machine learning algorithms is summarized.
 After interpretation of the algorithms, intelligent predictions are produced to give instructions or predictions
 for smart implementations. It is desired that this review will offer guidance for future excellence in flexible
 wearable sensing technologies and provide insight into commercial wearable sensors

论文编号：WOS:000897185000001

学科门类：理学

一级学科：化学

页面范围：405-433

ISSN号：2040-3364

是否译文：否