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Noninvasive and portable stroke type discrimination and progress monitoring based on a multichannel microwave transmitting–receiving system
The hemorrhagic and the ischemic types of stroke have similar symptoms in the early stage, but their treatments are completely different. The timely and effective discrimination of the two types of stroke can considerable improve the patients' prognosis. In this paper, a 16-channel and nonconta...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728752/ https://www.ncbi.nlm.nih.gov/pubmed/33303768 http://dx.doi.org/10.1038/s41598-020-78647-x |
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author | Xu, Jia Chen, Jingbo Yu, Wei Zhang, Haisheng Wang, Feng Zhuang, Wei Yang, Jun Bai, Zelin Xu, Lin Sun, Jian Jin, Gui Nian, Yongjian Qin, Mingxin Chen, Mingsheng |
author_facet | Xu, Jia Chen, Jingbo Yu, Wei Zhang, Haisheng Wang, Feng Zhuang, Wei Yang, Jun Bai, Zelin Xu, Lin Sun, Jian Jin, Gui Nian, Yongjian Qin, Mingxin Chen, Mingsheng |
author_sort | Xu, Jia |
collection | PubMed |
description | The hemorrhagic and the ischemic types of stroke have similar symptoms in the early stage, but their treatments are completely different. The timely and effective discrimination of the two types of stroke can considerable improve the patients' prognosis. In this paper, a 16-channel and noncontact microwave-based stroke detection system was proposed and demonstrated for the potential differentiation of the hemorrhagic and the ischemic stroke. In animal experiments, 10 rabbits were divided into two groups. One group consisted of five cerebral hemorrhage models, and the other group consisted of five cerebral ischemia models. The two groups were monitored by the system to obtain the Euclidean distance transform value of microwave scattering parameters caused by pathological changes in the brain. The support vector machine was used to identify the type and the severity of the stroke. Based on the experiment, a discrimination accuracy of 96% between hemorrhage and ischemia stroke was achieved. Furthermore, the potential of monitoring the progress of intracerebral hemorrhage or ischemia was evaluated. The discrimination of different degrees of intracerebral hemorrhage achieved 86.7% accuracy, and the discrimination of different severities of ischemia achieved 94% accuracy. Compared with that with multiple channels, the discrimination accuracy of the stroke severity with a single channel was only 50% for the intracerebral hemorrhage and ischemia stroke. The study showed that the microwave-based stroke detection system can effectively distinguish between the cerebral hemorrhage and the cerebral ischemia models. This system is very promising for the prehospital identification of the stroke type due to its low cost, noninvasiveness, and ease of operation. |
format | Online Article Text |
id | pubmed-7728752 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-77287522020-12-14 Noninvasive and portable stroke type discrimination and progress monitoring based on a multichannel microwave transmitting–receiving system Xu, Jia Chen, Jingbo Yu, Wei Zhang, Haisheng Wang, Feng Zhuang, Wei Yang, Jun Bai, Zelin Xu, Lin Sun, Jian Jin, Gui Nian, Yongjian Qin, Mingxin Chen, Mingsheng Sci Rep Article The hemorrhagic and the ischemic types of stroke have similar symptoms in the early stage, but their treatments are completely different. The timely and effective discrimination of the two types of stroke can considerable improve the patients' prognosis. In this paper, a 16-channel and noncontact microwave-based stroke detection system was proposed and demonstrated for the potential differentiation of the hemorrhagic and the ischemic stroke. In animal experiments, 10 rabbits were divided into two groups. One group consisted of five cerebral hemorrhage models, and the other group consisted of five cerebral ischemia models. The two groups were monitored by the system to obtain the Euclidean distance transform value of microwave scattering parameters caused by pathological changes in the brain. The support vector machine was used to identify the type and the severity of the stroke. Based on the experiment, a discrimination accuracy of 96% between hemorrhage and ischemia stroke was achieved. Furthermore, the potential of monitoring the progress of intracerebral hemorrhage or ischemia was evaluated. The discrimination of different degrees of intracerebral hemorrhage achieved 86.7% accuracy, and the discrimination of different severities of ischemia achieved 94% accuracy. Compared with that with multiple channels, the discrimination accuracy of the stroke severity with a single channel was only 50% for the intracerebral hemorrhage and ischemia stroke. The study showed that the microwave-based stroke detection system can effectively distinguish between the cerebral hemorrhage and the cerebral ischemia models. This system is very promising for the prehospital identification of the stroke type due to its low cost, noninvasiveness, and ease of operation. Nature Publishing Group UK 2020-12-10 /pmc/articles/PMC7728752/ /pubmed/33303768 http://dx.doi.org/10.1038/s41598-020-78647-x Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Xu, Jia Chen, Jingbo Yu, Wei Zhang, Haisheng Wang, Feng Zhuang, Wei Yang, Jun Bai, Zelin Xu, Lin Sun, Jian Jin, Gui Nian, Yongjian Qin, Mingxin Chen, Mingsheng Noninvasive and portable stroke type discrimination and progress monitoring based on a multichannel microwave transmitting–receiving system |
title | Noninvasive and portable stroke type discrimination and progress monitoring based on a multichannel microwave transmitting–receiving system |
title_full | Noninvasive and portable stroke type discrimination and progress monitoring based on a multichannel microwave transmitting–receiving system |
title_fullStr | Noninvasive and portable stroke type discrimination and progress monitoring based on a multichannel microwave transmitting–receiving system |
title_full_unstemmed | Noninvasive and portable stroke type discrimination and progress monitoring based on a multichannel microwave transmitting–receiving system |
title_short | Noninvasive and portable stroke type discrimination and progress monitoring based on a multichannel microwave transmitting–receiving system |
title_sort | noninvasive and portable stroke type discrimination and progress monitoring based on a multichannel microwave transmitting–receiving system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728752/ https://www.ncbi.nlm.nih.gov/pubmed/33303768 http://dx.doi.org/10.1038/s41598-020-78647-x |
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