{"title":"基于等距图的中枢神经系统功能状态硬件自动诊断方法","authors":"N. Safiannikov, O. Bureneva, Z. Aleksanyan","doi":"10.23919/FRUCT.2017.8071337","DOIUrl":null,"url":null,"abstract":"The paper presents a new isometric method of determining the functional condition of the central nervous system. The method is based on the analysis of involuntary oscillatory movements of limbs of a human body secreted on the background of voluntary movements. A variant of the hardware implementation of the method is shown, the results of testing people with different health status are demonstrated.","PeriodicalId":114353,"journal":{"name":"2017 20th Conference of Open Innovations Association (FRUCT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Isometric-Based method for hardware automated diagnostic of functional status of central nervous system\",\"authors\":\"N. Safiannikov, O. Bureneva, Z. Aleksanyan\",\"doi\":\"10.23919/FRUCT.2017.8071337\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a new isometric method of determining the functional condition of the central nervous system. The method is based on the analysis of involuntary oscillatory movements of limbs of a human body secreted on the background of voluntary movements. A variant of the hardware implementation of the method is shown, the results of testing people with different health status are demonstrated.\",\"PeriodicalId\":114353,\"journal\":{\"name\":\"2017 20th Conference of Open Innovations Association (FRUCT)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 20th Conference of Open Innovations Association (FRUCT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/FRUCT.2017.8071337\",\"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 20th Conference of Open Innovations Association (FRUCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/FRUCT.2017.8071337","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Isometric-Based method for hardware automated diagnostic of functional status of central nervous system
The paper presents a new isometric method of determining the functional condition of the central nervous system. The method is based on the analysis of involuntary oscillatory movements of limbs of a human body secreted on the background of voluntary movements. A variant of the hardware implementation of the method is shown, the results of testing people with different health status are demonstrated.