{"title":"呼吸衍生算法的定量评估","authors":"C. L. Mason, L. Tarassenko","doi":"10.1109/IEMBS.2001.1020622","DOIUrl":null,"url":null,"abstract":"A method for quantitatively assessing respiration derivation algorithms is presented. Algorithms for deriving respiration from the electrocardiogram using respiration-induced amplitude modulation of the QRS complex are investigated. The algorithms are tested on the MIT-BIH Polysomnography Database and evaluated and compared using the proposed assessment method.","PeriodicalId":386546,"journal":{"name":"2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"49","resultStr":"{\"title\":\"Quantitative assessment of respiratory derivation algorithms\",\"authors\":\"C. L. Mason, L. Tarassenko\",\"doi\":\"10.1109/IEMBS.2001.1020622\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method for quantitatively assessing respiration derivation algorithms is presented. Algorithms for deriving respiration from the electrocardiogram using respiration-induced amplitude modulation of the QRS complex are investigated. The algorithms are tested on the MIT-BIH Polysomnography Database and evaluated and compared using the proposed assessment method.\",\"PeriodicalId\":386546,\"journal\":{\"name\":\"2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-10-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"49\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMBS.2001.1020622\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMBS.2001.1020622","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Quantitative assessment of respiratory derivation algorithms
A method for quantitatively assessing respiration derivation algorithms is presented. Algorithms for deriving respiration from the electrocardiogram using respiration-induced amplitude modulation of the QRS complex are investigated. The algorithms are tested on the MIT-BIH Polysomnography Database and evaluated and compared using the proposed assessment method.