Z. Sagirova, N. Kuznetsova, I. Zakharov, A. Suvorov, V. Larionov, P. Kopylov
{"title":"人工智能在心血管系统参数远程评估中的可能性","authors":"Z. Sagirova, N. Kuznetsova, I. Zakharov, A. Suvorov, V. Larionov, P. Kopylov","doi":"10.37747/2312-640x-2021-19-158-159","DOIUrl":null,"url":null,"abstract":"When using a single-channel ECG and FPG, it was possible to assess systolic and diastolic dysfunction of the left ventricle of various degrees with high accuracy","PeriodicalId":13077,"journal":{"name":"http://eng.biomos.ru/conference/articles.htm","volume":"48 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"THE POSSIBILITIES OF ARTIFICIAL INTELLIGENCE IN THE REMOTE ASSESSMENT OF THE PARAMETERS OF THE CARDIOVASCULAR SYSTEM\",\"authors\":\"Z. Sagirova, N. Kuznetsova, I. Zakharov, A. Suvorov, V. Larionov, P. Kopylov\",\"doi\":\"10.37747/2312-640x-2021-19-158-159\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"When using a single-channel ECG and FPG, it was possible to assess systolic and diastolic dysfunction of the left ventricle of various degrees with high accuracy\",\"PeriodicalId\":13077,\"journal\":{\"name\":\"http://eng.biomos.ru/conference/articles.htm\",\"volume\":\"48 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"http://eng.biomos.ru/conference/articles.htm\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.37747/2312-640x-2021-19-158-159\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"http://eng.biomos.ru/conference/articles.htm","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37747/2312-640x-2021-19-158-159","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
THE POSSIBILITIES OF ARTIFICIAL INTELLIGENCE IN THE REMOTE ASSESSMENT OF THE PARAMETERS OF THE CARDIOVASCULAR SYSTEM
When using a single-channel ECG and FPG, it was possible to assess systolic and diastolic dysfunction of the left ventricle of various degrees with high accuracy
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
