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Intracerebral hemorrhage (ICH) evaluation with a novel magnetic induction sensor: a preliminary study using the Chinese head model

Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 3rd International Conference on Biomedical Engineering and Biotechnology, 25–28 September 2014, Beijing, China

Article type: Research Article

Authors: Zhang, Ziyi; ; | Liu, Peiguo | Zhou, Dongming | Zhang, Liang; | Lei, Hengdong;

Affiliations: College of Science, National University of Defense Technology, Changsha, Hunan 410073, China | State Key Laboratory of Complex Electromagnetic Environmental Effects on Electronics & Information System, National University of Defense Technology, Changsha, Hunan 410073, China

Note: [] Corresponding author: Ziyi Zhang, Room 605, Electromagnetic Environment Laboratory Building, College of Electronic Science and Engineering, National University of Defense Technology, 109 Deya Road, Kaifu District, Changsha, Hunan 410073, China. Tel.: +86 0731 84576219 15; Fax: +86 0731 84576219; E-mail: [email protected].

Keywords: Intracerebral hemorrhage (ICH), magnetic induction measurement, sensor sensitivity, two-arm archimedean spiral coil (TAASC), Chinese head model

DOI: 10.3233/BME-141184

Journal: Bio-Medical Materials and Engineering, vol. 24, no. 6, pp. 3579-3587, 2014

Published: 2014
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Abstract

Biomedical magnetic induction measurement is a promising method for the detection of intracerebral hemorrhage (ICH), especially in China. Aiming at overcoming the problem of low sensitivity, a magnetic induction sensor is chosen to replace the conventional sensors. It uses a two-arm Archimedean spiral coil as the exciter and a circular coil as the receiver. In order to carry out high-fidelity simulations, the Chinese head model with real anatomical structure is introduced into this novel sensor for the first time. Simulations have been carried out upon early stage ICH measurements. By calculating the state sensitivity and time sensitivity of the perturbation phase of two types of sensors using the electromagnetic software, we conclude that the primary signal received can be largely reduced using the novel sensor, which could effectively increase the time and state sensitivity simultaneously.

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