V. Kublanov, D. R. Yamaliev, A. Dolganov, E. A. Goncharova
{"title":"根据心率变异性和稳定性数据对体育训练水平进行分类","authors":"V. Kublanov, D. R. Yamaliev, A. Dolganov, E. A. Goncharova","doi":"10.1109/SSDSE.2017.8071963","DOIUrl":null,"url":null,"abstract":"In the article the results of the physical training level classification for volunteer subjects by signals of heart rate variability and stabilography by means of linear discriminant analysis are described. The study was conducted on two groups of subjects: high-qualifled athletes (22 people), and young people, not involved in sports (25 people). It was shown that the proposed method makes it possible to identify the subjects' belonging to different groups of physical training level with the accuracy of at least 84%, sensitivity −80% and specificity −91%.","PeriodicalId":216748,"journal":{"name":"2017 Siberian Symposium on Data Science and Engineering (SSDSE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Classification of the physical training level by heart rate variability and stabilography data\",\"authors\":\"V. Kublanov, D. R. Yamaliev, A. Dolganov, E. A. Goncharova\",\"doi\":\"10.1109/SSDSE.2017.8071963\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the article the results of the physical training level classification for volunteer subjects by signals of heart rate variability and stabilography by means of linear discriminant analysis are described. The study was conducted on two groups of subjects: high-qualifled athletes (22 people), and young people, not involved in sports (25 people). It was shown that the proposed method makes it possible to identify the subjects' belonging to different groups of physical training level with the accuracy of at least 84%, sensitivity −80% and specificity −91%.\",\"PeriodicalId\":216748,\"journal\":{\"name\":\"2017 Siberian Symposium on Data Science and Engineering (SSDSE)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Siberian Symposium on Data Science and Engineering (SSDSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSDSE.2017.8071963\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Siberian Symposium on Data Science and Engineering (SSDSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSDSE.2017.8071963","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Classification of the physical training level by heart rate variability and stabilography data
In the article the results of the physical training level classification for volunteer subjects by signals of heart rate variability and stabilography by means of linear discriminant analysis are described. The study was conducted on two groups of subjects: high-qualifled athletes (22 people), and young people, not involved in sports (25 people). It was shown that the proposed method makes it possible to identify the subjects' belonging to different groups of physical training level with the accuracy of at least 84%, sensitivity −80% and specificity −91%.