{"title":"Estimation and compensation of a biomedical sensor's response delay using extended Kalman filter","authors":"A. Al-Zaben, Ismail Arafat","doi":"10.1109/MECBME.2016.7745404","DOIUrl":null,"url":null,"abstract":"The use of packaging material in biomedical sensors is a required criterion to achieve certain properties; the most important one is biocompatibility. Response time of biomedical sensors is highly dependent on the sensor's specifications in addition to the type of packaging materials. Compensation of the time delay in the sensor's response due to the packaging material requires detailed mathematical model of the governing equations in addition to the knowledge of the different packaging layers properties. In this paper, we present the use of extended Kalman filter to estimate the transient response of the sensor without the need to perform such complex mathematical modeling. The idea is to estimate the required response given the measurements model and the packaging effects model to build nonlinear state-measurements equations. The paper also presents the results obtained from simulated and measured selected sensors responses.","PeriodicalId":430369,"journal":{"name":"2016 3rd Middle East Conference on Biomedical Engineering (MECBME)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 3rd Middle East Conference on Biomedical Engineering (MECBME)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MECBME.2016.7745404","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The use of packaging material in biomedical sensors is a required criterion to achieve certain properties; the most important one is biocompatibility. Response time of biomedical sensors is highly dependent on the sensor's specifications in addition to the type of packaging materials. Compensation of the time delay in the sensor's response due to the packaging material requires detailed mathematical model of the governing equations in addition to the knowledge of the different packaging layers properties. In this paper, we present the use of extended Kalman filter to estimate the transient response of the sensor without the need to perform such complex mathematical modeling. The idea is to estimate the required response given the measurements model and the packaging effects model to build nonlinear state-measurements equations. The paper also presents the results obtained from simulated and measured selected sensors responses.