Deep-learning-enhanced metal-organic framework e-skin for health monitoring

Electronic skin (e-skin) mimics the sensing abilities of human skin and offers sensitivity and flexibility, which has garnered attention for medical health monitoring. Nonetheless, limitations in the properties of active materials and signal-to-noise ratio hinder the implementation of multi-functional detection such as integrating biomolecular sensing, motion detection, and electrocardiography in a single device. Here, we introduce a strategy of preparing a multi-functional e-skin that utilizes a composite material combining self-locking chitosan and conductive metal-organic framework film, achieving high-performance motion detection and biomolecular sensing. The integration of deep learning, specifically transformer neural networks, aids in recognizing subtle facial micro-expressions. A sensing array is crafted by utilizing a rapid assembly method that supports discerning more attributes with heightened precision.