Xiaodong Li, Junlin Wang, Xiang Cao, Wei Huang, Yong Hu
{"title":"Soft Robotic Glove with Alpha Band Brain Computer Interface for Post-Stroke Hand Function Rehabilitation","authors":"Xiaodong Li, Junlin Wang, Xiang Cao, Wei Huang, Yong Hu","doi":"10.1109/BMEiCON56653.2022.10012103","DOIUrl":null,"url":null,"abstract":"Loss of hand dexterity is a major challenge faced by post-stroke patients who strive to resume their ordinary daily lives. Effective hand function rehabilitation treatment for such population is therefore necessary. A soft robotic glove system operated through SSVEP-based BCI has been reported to be an effective tool for post-stroke hand motor function recovery. This study further evaluated the application of visual stimulation in the alpha band for SSVEP-assisted rehabilitation. We compared the treatment outcome with stimulations within the alpha band to that outside the band. A total of 20 post-stroke patients with severe upper limb dysfunction were randomly assigned to alpha band group and non-alpha band group. The experiment result was assessed with Fugl-Meyer upper limb Motor Assessment (FMAUE) and alpha EEG oscillation analysis. The alpha band group showed slightly but notably higher FMA-UE scores $(\\mathrm{P}\\lt 0.05)$, and significantly increased alpha wave EEG oscillations $(\\mathrm{P}\\lt 0.05)$. The result demonstrated the usefulness of alpha band SSVEP for post stroke hand function rehabilitation.","PeriodicalId":177401,"journal":{"name":"2022 14th Biomedical Engineering International Conference (BMEiCON)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 14th Biomedical Engineering International Conference (BMEiCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BMEiCON56653.2022.10012103","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
Loss of hand dexterity is a major challenge faced by post-stroke patients who strive to resume their ordinary daily lives. Effective hand function rehabilitation treatment for such population is therefore necessary. A soft robotic glove system operated through SSVEP-based BCI has been reported to be an effective tool for post-stroke hand motor function recovery. This study further evaluated the application of visual stimulation in the alpha band for SSVEP-assisted rehabilitation. We compared the treatment outcome with stimulations within the alpha band to that outside the band. A total of 20 post-stroke patients with severe upper limb dysfunction were randomly assigned to alpha band group and non-alpha band group. The experiment result was assessed with Fugl-Meyer upper limb Motor Assessment (FMAUE) and alpha EEG oscillation analysis. The alpha band group showed slightly but notably higher FMA-UE scores $(\mathrm{P}\lt 0.05)$, and significantly increased alpha wave EEG oscillations $(\mathrm{P}\lt 0.05)$. The result demonstrated the usefulness of alpha band SSVEP for post stroke hand function rehabilitation.