Identification of the stroke type of hemorrhage and ischemic based on microwave measurement technique

Feng Wang; Junlin Bao; Huaiqiang LI; Weihao Peng; Jia XU; Wei Zhuang; Jun Yang; Haisheng Zhang; Xu Ning; Mingxin Qin; Mingsheng Chen

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Identification of the stroke type of hemorrhage and ischemic based on microwave measurement technique

VernacularTitle: 基于微波测量技术的脑出血与脑缺血性卒中鉴别实验研究
Author: Feng WANG ¹ ; Junlin BAO ² ; Huaiqiang LI ³ ; Weihao PENG ⁴ ; Jia XU ¹ ; Wei ZHUANG ¹ ; Jun YANG ¹ ; Haisheng ZHANG ¹ ; Xu NING ¹ ; Mingxin QIN ¹ ; Mingsheng CHEN ¹
Author Information

1. Department of Biomedical Engineering and Imaging Medicine, Army Military Medical University, Chongqing 400038, China
2. Department of Medical Engineering, PLA 81st Group Army Hospital, Zhangjiakou 075000, China
3. Xinjiang Military Region Institute of Pharmaceutical Instruments, Urumqi 830011, China
4. PLA 77th Group Army Hospital, Leshan 614100, China
Publication Type:Journal Article
Keywords: Stroke types diagnosis; Cerebral hemorrhage; Cerebral ischemia; Microwave detection; Non-contact diagnosis
From: International Journal of Biomedical Engineering 2019;42(5):404-408
CountryChina
Language:Chinese
Abstract: Objective:To establish a microwave scattering parameter acquisition system to detect cerebral hemorrhage and cerebral ischemia animal models, and to study the non-contact rapid identification methods for the two stroke types.
Methods:Rabbits were selected for modeling. Eight rabbits in the cerebral hemorrhage group were injected with autologous blood. Six rabbits in the cerebral ischemia group were treated with bilateral common carotid artery clamping and femoral artery bleeding. The measurement excitation source has a scanning frequency range of 300 kHz to 3 GHz and an intermediate frequency bandwidth of 30 kHz. The signal of the S21 phase was acquired. The collected microwave scattering signals were subjected to mean filtering, principal component analysis dimension reduction, and mean clustering and nearest neighbor analysis to realize the identification of stroke types.
Results:The microwave scattering measurement method can reflect the changes of cerebral hemorrhage and cerebral ischemia. The phase of S21 decreases with the increase of blood loss and increases with the increase of ischemic duration. The results of the differential experiment showed that all 14 models were correctly identified.
Conclusions:The stroke identification system based on microwave scattering measurement can effectively distinguish rabbit cerebral hemorrhage model and ischemic model. This technology is low cost, portable non-invasive, simple operation and fast, which make it be a promising method for identifying pre-hospital stroke types.