A conformal, bio-interfaced class of silicon electronics for mapping cardiac electrophysiology

Jonathan Viventi, Dae Hyeong Kim, Joshua D. Moss, Yun Soung Kim, Justin A. Blanco, Nicholas Annetta, Andrew Hicks, Jianliang Xiao, Younggang Huang, David J. Callans, John A. Rogers, Brian Litt

Research output: Contribution to journalArticle

212 Scopus citations

Abstract

In all current implantable medical devices such as pacemakers, deep brain stimulators, and epilepsy treatment devices, each electrode is independently connected to separate control systems. The ability of these devices to sample and stimulate tissues is hindered by this configuration and by the rigid, planar nature of the electronics and the electrode-tissue interfaces. Here, we report the development of a class of mechanically flexible silicon electronics for multiplexed measurement of signals in an intimate, conformal integrated mode on the dynamic, three-dimensional surfaces of soft tissues in the human body. We demonstrate this technology in sensor systems composed of 2016 silicon nanomembrane transistors configured to record electrical activity directly from the curved, wet surface of a beating porcine heart in vivo. The devices sample with simultaneous submillimeter and submillisecond resolution through 288 amplified and multiplexed channels. We use this system to map the spread of spontaneous and paced ventricular depolarization in real time, at high resolution, on the epicardial surface in a porcine animal model. This demonstration is one example of many possible uses of this technology in minimally invasive medical devices.

Original languageEnglish (US)
Pages (from-to)24ra22
JournalScience translational medicine
Volume2
Issue number24
DOIs
StatePublished - 2010

ASJC Scopus subject areas

  • Medicine(all)

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    Viventi, J., Kim, D. H., Moss, J. D., Kim, Y. S., Blanco, J. A., Annetta, N., Hicks, A., Xiao, J., Huang, Y., Callans, D. J., Rogers, J. A., & Litt, B. (2010). A conformal, bio-interfaced class of silicon electronics for mapping cardiac electrophysiology. Science translational medicine, 2(24), 24ra22. https://doi.org/10.1126/scitranslmed.3000738