Epidermal mechano-acoustic sensing electronics for cardiovascular diagnostics and human-machine interfaces

Yuhao Liu, James J.S. Norton, Raza Qazi, Zhanan Zou, Kaitlyn R. Ammann, Hank Liu, Lingqing Yan, Phat L. Tran, Kyung In Jang, Jung Woo Lee, Douglas Zhang, Kristopher A. Kilian, Sung Hee Jung, Timothy Bretl, Jianliang Xiao, Marvin J. Slepian, Yonggang Huang*, Jae Woong Jeong, John A. Rogers

*Corresponding author for this work

Research output: Contribution to journalArticle

110 Scopus citations

Abstract

Physiological mechano-acoustic signals, often with frequencies and intensities that are beyond those associated with the audible range, provide information of great clinical utility. Stethoscopes and digital accelerometers in conventional packages can capture some relevant data, but neither is suitable for use in a continuous, wearable mode, and both have shortcomings associated with mechanical transduction of signals through the skin. We report a soft, conformal class of device configured specifically for mechano-acoustic recording from the skin, capable of being used on nearly any part of the body, in forms that maximize detectable signals and allow for multimodal operation, such as electrophysiological recording. Experimental and computational studies highlight the key roles of low effective modulus and low areal mass density for effective operation in this type of measurement mode on the skin. Demonstrations involving seismocardiography and heart murmur detection in a series of cardiac patients illustrate utility in advanced clinical diagnostics. Monitoring of pump thrombosis in ventricular assist devices provides an example in characterization of mechanical implants. Speech recognition and human-machine interfaces represent additional demonstrated applications. These and other possibilities suggest broad-ranging uses for soft, skin-integrated digital technologies that can capture human body acoustics.

Original languageEnglish (US)
Article numbere1601185
JournalScience Advances
Volume2
Issue number11
DOIs
StatePublished - Nov 2016

ASJC Scopus subject areas

  • General

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    Liu, Y., Norton, J. J. S., Qazi, R., Zou, Z., Ammann, K. R., Liu, H., Yan, L., Tran, P. L., Jang, K. I., Lee, J. W., Zhang, D., Kilian, K. A., Jung, S. H., Bretl, T., Xiao, J., Slepian, M. J., Huang, Y., Jeong, J. W., & Rogers, J. A. (2016). Epidermal mechano-acoustic sensing electronics for cardiovascular diagnostics and human-machine interfaces. Science Advances, 2(11), [e1601185]. https://doi.org/10.1126/sciadv.1601185