.png){kind=icon}
.png){kind=icon}
Return
Wearable Sweat Management Technologies
.png){kind=icon}
PRE
AI
DOI：10.1002/admt.202301812.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
The aging population and increasing prevalence of diseases among younger individuals have heightened the pressing demand for wearable health monitoring devices among the general public. In comparison to self-health monitoring at physical signal level, wearable biochemical monitoring can provide more comprehensive and insightful information regarding one's own health status. Wearable sweat-sensing technologies hold great potential for non-invasive and continuous biochemical monitoring, and have emerged as a focal point of wearable health monitoring research. The effective management of sweat, encompassing convenient induction, reliable collection, and efficient flow control and storage, is fundamental in wearable sweat sensing. To elucidate the research progression in these aspects, this review first summarizes sweat secretion mechanisms, induction method, and sampling mode. Additionally, detailed summaries and discussion on sweat sampling and transport modes are provided. Furthermore, within the context of epidermal microfluidics, the technologies on sweat flow control and storage management based on microvalves are discussed. Lastly, current commercialization and key challenges are summarized. Sweat, an ideal bodily fluid for non-invasive and continuous biochemical monitoring, has emerged as a focal point in wearable healthcare research. To achieve high-fidelity sweat monitoring, efficient sweat management is crucial, which involves the sweat induction, sample collection, transport, flow control, and organized storage. The systematic summarization of sweat management techniques can provide essential insights for the design and development of sweat sensing devices. image
Keywords:
epidermal microfluidic
flow control
sweat sampling
sweat secretion mechanism
sweat transport
Journal
IF:
6.2
Papers:
5.2K
Citations:
2.4W