3D-printed epifluidic electronic skin for machine learning-powered multimodal health surveillance.

ABSTRACT: The amalgamation of wearable technologies with physiochemical sensing capabilities promises to create powerful interpretive and predictive platforms for real-time health surveillance. However, the construction of such multimodal devices is difficult to be implemented wholly by traditional manufacturing techniques for at-home personalized applications. Here, we present a universal semisolid extrusion-based three-dimensional printing technology to fabricate an epifluidic elastic electronic skin (e³-skin) with high-performance multimodal physiochemical sensing capabilities. We demonstrate that the e³-skin can serve as a sustainable surveillance platform to capture the real-time physiological state of individuals during regular daily activities. We also show that by coupl

SUBMITTER: Song Y 

PROVIDER: S-EPMC10499321 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature