{"title":"肺活量测定的建模-用于诊断目的的应用","authors":"R. Kalicka, W. Słomiński, K. Kuziemski","doi":"10.1109/INFTECH.2008.4621659","DOIUrl":null,"url":null,"abstract":"The spirometry measurements assess the efficiency of the pulmonary ventilation. The respiratory system functioning is based on the ventilation mechanism. The basic degradation of the patientpsilas breathing condition are obstructive, restrictive and mixed pulmonary diseases. In this paper, a new model of the spirometry measurement is presented. The model parameter estimates are obtained on the basis of spirometry measurements. The model parameters allow us to obtain the new information concerning breathing conditions. They also allow us to distinguish between healthy and diseased subjects. The verification, based on the disease simulation, revealed the diagnostic usefulness of the model parameters acquired on the basis of spirometry measurements.","PeriodicalId":247264,"journal":{"name":"2008 1st International Conference on Information Technology","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The modelling of spirometry - the application for diagnostic purposes\",\"authors\":\"R. Kalicka, W. Słomiński, K. Kuziemski\",\"doi\":\"10.1109/INFTECH.2008.4621659\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The spirometry measurements assess the efficiency of the pulmonary ventilation. The respiratory system functioning is based on the ventilation mechanism. The basic degradation of the patientpsilas breathing condition are obstructive, restrictive and mixed pulmonary diseases. In this paper, a new model of the spirometry measurement is presented. The model parameter estimates are obtained on the basis of spirometry measurements. The model parameters allow us to obtain the new information concerning breathing conditions. They also allow us to distinguish between healthy and diseased subjects. The verification, based on the disease simulation, revealed the diagnostic usefulness of the model parameters acquired on the basis of spirometry measurements.\",\"PeriodicalId\":247264,\"journal\":{\"name\":\"2008 1st International Conference on Information Technology\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-05-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 1st International Conference on Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INFTECH.2008.4621659\",\"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 1st International Conference on Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFTECH.2008.4621659","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The modelling of spirometry - the application for diagnostic purposes
The spirometry measurements assess the efficiency of the pulmonary ventilation. The respiratory system functioning is based on the ventilation mechanism. The basic degradation of the patientpsilas breathing condition are obstructive, restrictive and mixed pulmonary diseases. In this paper, a new model of the spirometry measurement is presented. The model parameter estimates are obtained on the basis of spirometry measurements. The model parameters allow us to obtain the new information concerning breathing conditions. They also allow us to distinguish between healthy and diseased subjects. The verification, based on the disease simulation, revealed the diagnostic usefulness of the model parameters acquired on the basis of spirometry measurements.