{"title":"基于阶跃响应的非参数系统动态气压反射辨识","authors":"K. Kashihara","doi":"10.1109/SICE.2008.4655212","DOIUrl":null,"url":null,"abstract":"In cardiovascular diseases, the assessment of baroreflex function requires the quantitative evaluation of dynamic properties. The wavelet-based time-frequency analysis was applied to the model baroreflex response in anesthetized rabbits with isolated carotid sinuses. The dynamic baroreflex properties could be accurately extracted from short-term step responses, regardless of background noises, compared to the standard FFT method. The results indicate that be applicable to clinical assessment of dynamic baroreflex function.","PeriodicalId":152347,"journal":{"name":"2008 SICE Annual Conference","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Non-parametric system identification of dynamic baroreflex from step response\",\"authors\":\"K. Kashihara\",\"doi\":\"10.1109/SICE.2008.4655212\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In cardiovascular diseases, the assessment of baroreflex function requires the quantitative evaluation of dynamic properties. The wavelet-based time-frequency analysis was applied to the model baroreflex response in anesthetized rabbits with isolated carotid sinuses. The dynamic baroreflex properties could be accurately extracted from short-term step responses, regardless of background noises, compared to the standard FFT method. The results indicate that be applicable to clinical assessment of dynamic baroreflex function.\",\"PeriodicalId\":152347,\"journal\":{\"name\":\"2008 SICE Annual Conference\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 SICE Annual Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SICE.2008.4655212\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 SICE Annual Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SICE.2008.4655212","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Non-parametric system identification of dynamic baroreflex from step response
In cardiovascular diseases, the assessment of baroreflex function requires the quantitative evaluation of dynamic properties. The wavelet-based time-frequency analysis was applied to the model baroreflex response in anesthetized rabbits with isolated carotid sinuses. The dynamic baroreflex properties could be accurately extracted from short-term step responses, regardless of background noises, compared to the standard FFT method. The results indicate that be applicable to clinical assessment of dynamic baroreflex function.