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

Clicks: 267
ID: 115656
2016
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Popular

Ranked #38 of 64 articles by views in Science advances

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
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.
Reference Key
liu2016scienceepidermal Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors 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;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;
Journal Science advances
Year 2016
DOI
10.1126/sciadv.1601185
URL
https://dx.doi.org/10.1126/sciadv.1601185
Keywords
National Center for Biotechnology Information NCBI NLM MEDLINE Mice animals humans pubmed abstract nih national institutes of health national library of medicine diagnostic techniques Medical* user-computer interface* pmid:28138529 pmc5262452 doi:10.1126/sciadv.1601185 yuhao liu james j s norton john a rogers cardiovascular / instrumentation* electronics epidermis* heart murmurs* / diagnosis heart murmurs* / physiopathology heart-assist devices / adverse effects* thrombosis* / diagnosis thrombosis* / physiopathology

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.