{"title":"Movement classification using ECoG high-gamma powers from human sensorimotor area during active movement","authors":"Seokyun Ryun, J. Kim, Eunjeong Jeon, C. Chung","doi":"10.1109/IWW-BCI.2017.7858171","DOIUrl":null,"url":null,"abstract":"Neural activation in high-gamma range (>50 Hz) is robustly observed in sensorimotor area. Previous neurophysiological studies have indicated that there are dominant sensorimotor high-gamma power changes during active movement. Here, we demonstrate that two different movement types (hand grasping and elbow flection) can be discriminated at single-trial conditions with high accuracy using the spatial dynamics of high-gamma features from primary motor cortex. Based on our results, we propose that sensorimotor high-gamma activities during active movement can be a powerful feature for on-going movement classification, and their characteristics mainly represent the instant movement states.","PeriodicalId":443427,"journal":{"name":"2017 5th International Winter Conference on Brain-Computer Interface (BCI)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 5th International Winter Conference on Brain-Computer Interface (BCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWW-BCI.2017.7858171","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Neural activation in high-gamma range (>50 Hz) is robustly observed in sensorimotor area. Previous neurophysiological studies have indicated that there are dominant sensorimotor high-gamma power changes during active movement. Here, we demonstrate that two different movement types (hand grasping and elbow flection) can be discriminated at single-trial conditions with high accuracy using the spatial dynamics of high-gamma features from primary motor cortex. Based on our results, we propose that sensorimotor high-gamma activities during active movement can be a powerful feature for on-going movement classification, and their characteristics mainly represent the instant movement states.