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• W3188435480 abstract "Cerebral edema is a common condition secondary to any type of neurological injury. The early diagnosis and monitoring of cerebral edema is of great importance to improve the prognosis. In this article, a flexible conformal electromagnetic two-coil sensor was employed as the electromagnetic induction sensor, associated with a vector network analyzer (VNA) for signal generation and receiving. Measurement of amplitude data over the frequency range of 1-100 MHz is conducted to evaluate the changes in cerebral edema. We proposed an Amplitude-based Characteristic Parameter Extraction (Ab-CPE) algorithm for multi-frequency characteristic analysis over the frequency range of 1-100 MHz and investigated its performance in electromagnetic induction-based cerebral edema detection and distinction of its acute/chronic phase. Fourteen rabbits were enrolled to establish cerebral edema model and the 24 h real-time monitoring experiments were carried out for algorithm verification.The proposed Ab-CPE algorithm was able to detect cerebral edema with a sensitivity of 94.1% and specificity of 95.4%. Also, in the early stage, it can detect cerebral edema with a sensitivity of 85.0% and specificity of 87.5%. Moreover, the Ab-CPE algorithm was able to distinguish between acute and chronic phase of cerebral edema with a sensitivity of 85.0% and specificity of 91.0%.The proposed Ab-CPE algorithm is suitable for multi-frequency characteristic analysis. Combined with this algorithm, the electromagnetic induction method has an excellent performance on the detection and monitoring of cerebral edema." @default.
• W3188435480 created "2021-08-16" @default.
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• W3188435480 date "2021-08-03" @default.
• W3188435480 modified "2023-10-16" @default.
• W3188435480 title "An amplitude-based characteristic parameter extraction algorithm for cerebral edema detection based on electromagnetic induction" @default.
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• W3188435480 doi "https://doi.org/10.1186/s12938-021-00913-4" @default.
• W3188435480 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8335876" @default.
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• W3188435480 hasPublicationYear "2021" @default.
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