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Identification of the stroke type of hemorrhage and ischemic based on microwave measurement technique / 国际生物医学工程杂志
International Journal of Biomedical Engineering ; (6): 404-408, 2019.
Article in Chinese | WPRIM | ID: wpr-805283
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.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study Language: Chinese Journal: International Journal of Biomedical Engineering Year: 2019 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study Language: Chinese Journal: International Journal of Biomedical Engineering Year: 2019 Type: Article