Impact of Local Electrodes on Brain Stroke Type Differentiation using Electrical Impedance Tomography

被引：3
|
作者：
Lee, Hannah [1 ]
Culpepper, Jared [1 ]
Farshkaran, Ali [1 ]
McDermott, Barry [2 ]
Porter, Emily [1 ]
机构：
[1] Univ Texas Austin, 2501 Speedway, Austin, TX 78712 USA
[2] Natl Univ Ireland Galway, Galway H91 TK33, Ireland
来源：
2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC) | 2021年
关键词：
D O I：
10.1109/EMBC46164.2021.9629682
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Electrical impedance tomography (EIT) of the head has the potential to provide rapid characterization of brain stroke. This study builds on previous work by implementing a more anatomically complex head model, contrasting results of bleed and clot simulations, and by establishing the electrodes which dominate in voltage difference measurements. This work provides the basis for machine learning with clusters of small numbers of electrodes as unique features for stroke-type detection and differentiation.
引用
收藏
页码：1412 / 1415
页数：4
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