P. Gutruf
The University of Arizona,
United States
Keywords: wireless, high fidelity biosignal acquisition, chronic recording, soft materials, 3D printing
Summary:
The concept of digital medicine, which broadly deals with streams continuous information from the body to gain insight into health status, manage disease and predict onset health problems, is currently relying on biosensors with limited capabilities with little progress in technology over recent years.[1][2] Key technological hurdles that slow the proliferation of this approach are means by which clinical grade biosingals are continuously obtained without frequent user interaction.[3] To overcome these hurdles, solutions in power supply and interface strategies that maintain high fidelity readouts and function chronically are critical. Current approaches for high fidelity recordings typically rely on adhesive interfaces that are subject to epidermal turnover, limiting sensor lifetime. Additionally, they rely on electrochemical power supplies which are subject to frequent recharge, add bulk and weight, require user interaction and introduce motion artefacts. Here we introduce a new class of devices that overcomes the limitations of current approaches by utilizing digital manufacturing to tailor geometry, mechanics, electromagnetics, electronics, and fluidics to create unique personalized devices optimized to the wearer. These elastomeric, 3D printed and laser structured constructs, called biosymbiotic devices, enable adhesive-free interfaces and the inclusion of high performance, far field energy harvesting to facilitate continuous wireless and battery-free operation of multimodal and multi device, high-fidelity biosensing in an at-home setting without user interaction. We present devices that can operate over weeks at the time, enable new sensing paradigms such as circumferential muscle strain, high fidelity absolute position sensing, mK resolution thermography and 3D printed optofluidics to capture an encompassing and evolving record of health. References [1] T. R. Ray, J. Choi, A. J. Bandodkar, S. Krishnan, P. Gutruf, L. Tian, R. Ghaffari, J. A. Rogers, Chem. Rev. 2019, 119, 5461. [2] J. Heikenfeld, A. Jajack, J. Rogers, P. Gutruf, L. Tian, T. Pan, R. Li, M. Khine, J. Kim, J. Wang, Lab Chip 2018, 18, 217. [3] T. Stuart, L. Cai, A. Burton, P. Gutruf, Biosens. Bioelectron. 2021, 113007.