Wireless soft implantable pressure sensors based on liquid metal with large-area mapping and adaptive implantation capabilities
Abstract
Innovations in soft materials have advanced the development of implantable devices for pressure monitoring, but fabrication and integration challenges remain, such as limited patterning resolution and poor scalability, hindering their miniaturization and wireless sensing capabilities. This study introduces methods and advantageous features of incorporating liquid metal into microfabriated, wireless soft implantable pressure sensors and wearable readout systems for large-area pressure mapping and adaptive implantation with autonomous folding and self-healing capabilities. Eutectic gallium–indium, a type of liquid metal, serves as both the deformable electrode for capacitive sensors and a low-resistance conductor for inductors. It is integrated into a thin-film, battery-free, inductive-capacitive wireless sensing platform. Scalable wireless sensor arrays are created through microfabrication for large-area pressure mapping. The wireless pressure sensor is also integrated with soft ferromagnetic and self-healing layers in cuff-type sensors to allow for autonomous folding in response to external magnets, eliminating the need for suturing. In addition, a miniaturized wearable readout system integrated into medical gloves enables wireless and real-time pressure monitoring. The presented wireless soft pressure-sensing method with large-area mapping and secure implantation capabilities offers alternatives to conventional medical tools for intraoperative monitoring and examinations.
Article Details
Journal Info
Proceedings of the National Academy of Sciences
National Academy of Sciences
Authors (11)
Min-gu Kim
Department of Chemical Engineering, Stanford University
Pyungwoo Yeon
Department of Electrical Engineering, Stanford University
Sara Rachel Arussy Ruth
Department of Chemical Engineering, Stanford University
Jaeho Park
Jiancheng Lai
Department of Chemical Engineering, Stanford University
Donglai Zhong
Chengyi Xu
Jayoung Kim
Department of Chemical Engineering, Stanford University
Amin Arbabian
Department of Electrical Engineering, Stanford University
Paige M. Fox
Division of Plastic and Reconstructive Surgery, Stanford University School of Medicine
Zhenan Bao