{"title":"Study on the Channel Characteristics of Auxiliary Medical Devices Based on MDAPSK Technology","authors":"Xueping Li, Yuan Yu, N. Yu","doi":"10.1109/BIBE.2018.00025","DOIUrl":null,"url":null,"abstract":"According to the communication channel differences, auxiliary medical devices can be divided into wearable medical devices and implantable medical devices. For wearable medical devices, the channel error rate is analyzed by analogy method. It is found that the logarithmic distribution model is more consistent with the actual situation. Then, based on the analyzing of error generation mechanism, the formula for calculating error rate of implantable medical devices is obtained. The accuracy of the formula is verified by the comparison of simulation and experiment. The biological channel error rate of auxiliary medical devices is analyzed in this paper, which provide a theoretical reference for auxiliary medical devices' clinical application.","PeriodicalId":127507,"journal":{"name":"2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIBE.2018.00025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
According to the communication channel differences, auxiliary medical devices can be divided into wearable medical devices and implantable medical devices. For wearable medical devices, the channel error rate is analyzed by analogy method. It is found that the logarithmic distribution model is more consistent with the actual situation. Then, based on the analyzing of error generation mechanism, the formula for calculating error rate of implantable medical devices is obtained. The accuracy of the formula is verified by the comparison of simulation and experiment. The biological channel error rate of auxiliary medical devices is analyzed in this paper, which provide a theoretical reference for auxiliary medical devices' clinical application.