Julia Nekrasova, Anastasia Sudareva, A. Kolosov, Konstantin Kovalev
{"title":"Hardware-Software Complex of the Mobile Brain-Computer Interface for Technical Means of Rehabilitation","authors":"Julia Nekrasova, Anastasia Sudareva, A. Kolosov, Konstantin Kovalev","doi":"10.1109/ICOECS46375.2019.8949968","DOIUrl":null,"url":null,"abstract":"Brain-computer interfaces, which are systems for the exchange of information between the brain and an electronic device, are the subject of unabated scientific interest in many laboratories in the world. Today, the practical application of brain-computer interfaces is found mainly in the field of rehabilitation. Research conducted in the 1970s at the University of California at Los Angeles showed the fundamental possibility of restoring the damaged functions of hearing and vision, as well as lost motor skills due to biological feedback. In this paper, the hardware-software complex of a mobile sensorimotor brain-computer interface based on electroencephalography for controlling modern technical means of rehabilitation is considered. Software implementation of the technology of localization of sources of electrical activity of the brain allows designing a device with the number and location of electrodes that is optimal for a particular patient according to the signal to noise ratio. The basis of the device is a wearable platform for enhancing biopotentials, providing mobility and ease of use in combination with technical means of rehabilitation.","PeriodicalId":371743,"journal":{"name":"2019 International Conference on Electrotechnical Complexes and Systems (ICOECS)","volume":"547 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Electrotechnical Complexes and Systems (ICOECS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOECS46375.2019.8949968","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
Brain-computer interfaces, which are systems for the exchange of information between the brain and an electronic device, are the subject of unabated scientific interest in many laboratories in the world. Today, the practical application of brain-computer interfaces is found mainly in the field of rehabilitation. Research conducted in the 1970s at the University of California at Los Angeles showed the fundamental possibility of restoring the damaged functions of hearing and vision, as well as lost motor skills due to biological feedback. In this paper, the hardware-software complex of a mobile sensorimotor brain-computer interface based on electroencephalography for controlling modern technical means of rehabilitation is considered. Software implementation of the technology of localization of sources of electrical activity of the brain allows designing a device with the number and location of electrodes that is optimal for a particular patient according to the signal to noise ratio. The basis of the device is a wearable platform for enhancing biopotentials, providing mobility and ease of use in combination with technical means of rehabilitation.
脑机接口是一种在大脑和电子设备之间交换信息的系统,是世界上许多实验室对科学兴趣不减的主题。目前,脑机接口的实际应用主要集中在康复领域。加州大学洛杉矶分校(University of California at Los Angeles)在20世纪70年代进行的一项研究表明,恢复受损的听觉和视觉功能,以及因生物反馈而丧失的运动技能,从根本上是有可能的。本文研究了一种基于脑电图控制现代康复技术手段的移动感觉运动脑机接口的硬件-软件复合体。脑电活动源定位技术的软件实现允许根据信噪比设计一个具有电极数量和位置的设备,该设备最适合特定患者。该设备的基础是一个可穿戴平台,用于增强生物潜能,结合康复技术手段提供移动性和易用性。