{"title":"肌肉骨骼疾病诊断中加速度计数据的频谱分析","authors":"A. Tatarnikova, A. Turlikov, D. A. Pupynin","doi":"10.1109/WECONF.2018.8604404","DOIUrl":null,"url":null,"abstract":"In this paper, we propose the remote monitoring system for patients with diseases of musculoskeletal system, based on data from the accelerometers of mobile devices. The results of approbation of the system for diseases of coxarthrosis and / or scoliosis are provided. Following algorithms were developed: determining exact sector of data set which contains information about movement (walking) and detecting presence of musculoskeletal diseases in the subject.","PeriodicalId":198958,"journal":{"name":"2018 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Spectral Analysis of Data Obtained from Accelerometers for Musculoskeletal Diseases Diagnosis\",\"authors\":\"A. Tatarnikova, A. Turlikov, D. A. Pupynin\",\"doi\":\"10.1109/WECONF.2018.8604404\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose the remote monitoring system for patients with diseases of musculoskeletal system, based on data from the accelerometers of mobile devices. The results of approbation of the system for diseases of coxarthrosis and / or scoliosis are provided. Following algorithms were developed: determining exact sector of data set which contains information about movement (walking) and detecting presence of musculoskeletal diseases in the subject.\",\"PeriodicalId\":198958,\"journal\":{\"name\":\"2018 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WECONF.2018.8604404\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WECONF.2018.8604404","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Spectral Analysis of Data Obtained from Accelerometers for Musculoskeletal Diseases Diagnosis
In this paper, we propose the remote monitoring system for patients with diseases of musculoskeletal system, based on data from the accelerometers of mobile devices. The results of approbation of the system for diseases of coxarthrosis and / or scoliosis are provided. Following algorithms were developed: determining exact sector of data set which contains information about movement (walking) and detecting presence of musculoskeletal diseases in the subject.