EIT-kit Demo: An Electrical Impedance Tomography Toolkit for Health and Motion Sensing

被引：0

作者：

Zhu, Junyi ^{[1
]}

Snowden, Jackson C. ^{[1
]}

Verdejo, Joshua ^{[1
]}

Chen, Emily ^{[1
]}

Zhang, Paul ^{[1
]}

Ghaednia, Hamid ^{[2
]}

Schwab, Joseph H. ^{[2
]}

Mueller, Stefanie ^{[1
]}

机构：

[1] MIT, CSAIL, Cambridge, MA 02139 USA

[2] Massachusetts Gen Hosp, Boston, MA 02114 USA

来源：

ADJUNCT PROCEEDINGS OF THE 34TH ANNUAL ACM SYMPOSIUM ON USER INTERFACE SOFTWARE AND TECHNOLOGY, UIST 2021 | 2021年

基金：

美国国家科学基金会;

关键词：

electrical impedance tomography; health sensing; electronic prototyping; personal fabrication;

D O I：

10.1145/3474349.3480185

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this demo, we present EIT-kit, an electrical impedance tomography toolkit for designing and fabricating health and motion sensing devices. EIT-kit contains (1) an extension to a 3D editor for personalizing the form factor of the electrode arrays and the electrode distribution, (2) a customized EIT sensing motherboard that users can use to perform measurements, (3) a microcontroller library that automates electrical impedance measurements, and (4) an image reconstruction library for mobile devices for interpolating and then visualizing the measured data. Together, these allow for applications that require 2- or 4-terminal setups, up to 64-electrodes, and single or multiple (up to four) electrode arrays simultaneously. We demonstrate each element of EIT-kit, as well as the design space that EIT-kit enables by showing various applications in health sensing as well as motion sensing and control.

引用

页码：100 / 102

页数：3

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