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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
Article en Zh | WPRIM | ID: wpr-823493
Biblioteca responsable: WPRO
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.
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Texto completo: 1 Índice: WPRIM Tipo de estudio: Diagnostic_studies Idioma: Zh Revista: International Journal of Biomedical Engineering Año: 2019 Tipo del documento: Article
Texto completo: 1 Índice: WPRIM Tipo de estudio: Diagnostic_studies Idioma: Zh Revista: International Journal of Biomedical Engineering Año: 2019 Tipo del documento: Article