Zijie Qi, Weihai Chen, Jianhua Wang, Jianbin Zhang, Xuhua Wang
{"title":"Lower Limb Rehabilitation Exoskeleton Control based on SSVEP-BCI","authors":"Zijie Qi, Weihai Chen, Jianhua Wang, Jianbin Zhang, Xuhua Wang","doi":"10.1109/ICIEA51954.2021.9516146","DOIUrl":null,"url":null,"abstract":"Faced with the current increasingly serious problem of population aging and the frequent occurrence of neurological diseases. Lower limb rehabilitation exoskeleton can help patients with lower limb exercise rehabilitation. Only the subjective participation of patients in the rehabilitation process can achieve better rehabilitation results. Therefore, this paper proposes to implement a BCI system based on SSVEP to control the exoskeleton of the lower limbs, so that the patient can actively participate in the rehabilitation process. This article uses the flickering of the pixel block on the screen to visually stimulate the patient, and classifies the EEG signal by the CCA method. The classification results are output to the lower limb rehabilitation system described in the article to realize the patient's left leg rehabilitation, right leg rehabilitation, acceleration, deceleration, and stop operations.","PeriodicalId":6809,"journal":{"name":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","volume":"21 1","pages":"1954-1959"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA51954.2021.9516146","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Faced with the current increasingly serious problem of population aging and the frequent occurrence of neurological diseases. Lower limb rehabilitation exoskeleton can help patients with lower limb exercise rehabilitation. Only the subjective participation of patients in the rehabilitation process can achieve better rehabilitation results. Therefore, this paper proposes to implement a BCI system based on SSVEP to control the exoskeleton of the lower limbs, so that the patient can actively participate in the rehabilitation process. This article uses the flickering of the pixel block on the screen to visually stimulate the patient, and classifies the EEG signal by the CCA method. The classification results are output to the lower limb rehabilitation system described in the article to realize the patient's left leg rehabilitation, right leg rehabilitation, acceleration, deceleration, and stop operations.