{"title":"Brain activity diagnostics system for exoskeleton control","authors":"V. Khorev","doi":"10.1109/DCNA56428.2022.9923241","DOIUrl":null,"url":null,"abstract":"In this work we develop the method of determining the moment of time of the beginning of the act of the imagination of movement by the analysis of the electroencephalograms according to the data that were obtained during experimental research when subjects are performing acts of imaginary movement. In the course of the experiment, we gained the electrical signals of the brain activity. The signals that have undergone preprocessing and filtration were used to test the method of determining the beginning of movement. To demonstrate the abilities of the method, the dependencies of the average power in the alpha band and the topograms were built. The obtained algorithms were used to detect and identify patterns of neural activity that occur in the imaginary movements, as well as their features, that could be used for the exoskeleton control.","PeriodicalId":110836,"journal":{"name":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCNA56428.2022.9923241","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this work we develop the method of determining the moment of time of the beginning of the act of the imagination of movement by the analysis of the electroencephalograms according to the data that were obtained during experimental research when subjects are performing acts of imaginary movement. In the course of the experiment, we gained the electrical signals of the brain activity. The signals that have undergone preprocessing and filtration were used to test the method of determining the beginning of movement. To demonstrate the abilities of the method, the dependencies of the average power in the alpha band and the topograms were built. The obtained algorithms were used to detect and identify patterns of neural activity that occur in the imaginary movements, as well as their features, that could be used for the exoskeleton control.