Jongsook Sanguantrakul, Nattawat Soontreekulpong, T. Trakoolwilaiwan, Y. Wongsawat
{"title":"下肢瘫痪患者步行运动的脑电图分析","authors":"Jongsook Sanguantrakul, Nattawat Soontreekulpong, T. Trakoolwilaiwan, Y. Wongsawat","doi":"10.1109/BMEiCON47515.2019.8990321","DOIUrl":null,"url":null,"abstract":"The relationship between brain activity and lower-limb movement has been investigated for several decades. Due to brain activity, the motor cortex area has been represented for the movement controlled by the brain including pattern generation and adaptation. One of the techniques, Brain-computer Interface (BCI), has been developed which makes people interacted with computers to command devices or their bodies using their thought. This work aims to analyze brain signals of walking movement imagine and to reduce the number of EEG channels for lower-limb activity thinking. Each participant has participated in this work for 2 parts (idle and walking movement imagine part) on the same date. At first, all participants were started with idle part and the next is walking movement imagine part for every day of the experiment. The participants were asked to report their general information and acquired a brief protocol about the experiment. The significant differences indicated that changes in alpha and beta activity in the central region are varied for imagining each activity, which has been related to dominant middle activity in the center on the front region. Especially, the change of absolute power of both alpha and beta power activity in the left central area during imagine turn right. The variation of alpha and beta EEG wave is affecting to imagine walking movement. This work has also reduced the channels of EEG for the lower-limb activity of human beings to 4 channels.","PeriodicalId":213939,"journal":{"name":"2019 12th Biomedical Engineering International Conference (BMEiCON)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Analysis of Walking Movement Using EEG for the Lower-Limb Paralysis\",\"authors\":\"Jongsook Sanguantrakul, Nattawat Soontreekulpong, T. Trakoolwilaiwan, Y. Wongsawat\",\"doi\":\"10.1109/BMEiCON47515.2019.8990321\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The relationship between brain activity and lower-limb movement has been investigated for several decades. Due to brain activity, the motor cortex area has been represented for the movement controlled by the brain including pattern generation and adaptation. One of the techniques, Brain-computer Interface (BCI), has been developed which makes people interacted with computers to command devices or their bodies using their thought. This work aims to analyze brain signals of walking movement imagine and to reduce the number of EEG channels for lower-limb activity thinking. Each participant has participated in this work for 2 parts (idle and walking movement imagine part) on the same date. At first, all participants were started with idle part and the next is walking movement imagine part for every day of the experiment. The participants were asked to report their general information and acquired a brief protocol about the experiment. The significant differences indicated that changes in alpha and beta activity in the central region are varied for imagining each activity, which has been related to dominant middle activity in the center on the front region. Especially, the change of absolute power of both alpha and beta power activity in the left central area during imagine turn right. The variation of alpha and beta EEG wave is affecting to imagine walking movement. This work has also reduced the channels of EEG for the lower-limb activity of human beings to 4 channels.\",\"PeriodicalId\":213939,\"journal\":{\"name\":\"2019 12th Biomedical Engineering International Conference (BMEiCON)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 12th Biomedical Engineering International Conference (BMEiCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BMEiCON47515.2019.8990321\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 12th Biomedical Engineering International Conference (BMEiCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BMEiCON47515.2019.8990321","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of Walking Movement Using EEG for the Lower-Limb Paralysis
The relationship between brain activity and lower-limb movement has been investigated for several decades. Due to brain activity, the motor cortex area has been represented for the movement controlled by the brain including pattern generation and adaptation. One of the techniques, Brain-computer Interface (BCI), has been developed which makes people interacted with computers to command devices or their bodies using their thought. This work aims to analyze brain signals of walking movement imagine and to reduce the number of EEG channels for lower-limb activity thinking. Each participant has participated in this work for 2 parts (idle and walking movement imagine part) on the same date. At first, all participants were started with idle part and the next is walking movement imagine part for every day of the experiment. The participants were asked to report their general information and acquired a brief protocol about the experiment. The significant differences indicated that changes in alpha and beta activity in the central region are varied for imagining each activity, which has been related to dominant middle activity in the center on the front region. Especially, the change of absolute power of both alpha and beta power activity in the left central area during imagine turn right. The variation of alpha and beta EEG wave is affecting to imagine walking movement. This work has also reduced the channels of EEG for the lower-limb activity of human beings to 4 channels.