{"title":"使用个性化刺激频率的高频SSVEP-BCI具有较少的闪烁感","authors":"Sodai Kondo, Hisaya Tanaka","doi":"10.1007/s10015-023-00893-9","DOIUrl":null,"url":null,"abstract":"<div><p>The problem of brain–computer interface (BCI) using steady-state visual evoked potential (SSVEP) is a flickering sensation caused by the flashing stimuli used to induce SSVEP. To use of high-frequency flashing stimuli is one of the countermeasures of this problem. This study focused on the relationship between the magnitude of SSVEP components for each subject and proposed a high-frequency (56–70 Hz) SSVEP–BCI that uses only the frequencies at which SSVEP induction was confirmed. For comparison, the accuracy of SSVEP–BCI using learning CCA (LCCA), an extension of canonical correlation analysis (CCA), was 98.61% for the low-frequency (26–40 Hz) SSVEP–BCI for comparison, 62.78% for the high frequency (56–70 Hz) SSVEP–BCI, and 87.19% for the high frequency (56–70 Hz) SSVEP–BCI with personalized stimulus frequency. As a result of comparing with and without personalization using information transfer rate (ITR), non-personalized (normal) and personalized high-frequency SSVEP–BCI ITR were 24.25 bits/min and 29.64 bits/min.</p></div>","PeriodicalId":46050,"journal":{"name":"Artificial Life and Robotics","volume":"28 4","pages":"803 - 811"},"PeriodicalIF":0.8000,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"High-frequency SSVEP–BCI with less flickering sensation using personalization of stimulus frequency\",\"authors\":\"Sodai Kondo, Hisaya Tanaka\",\"doi\":\"10.1007/s10015-023-00893-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The problem of brain–computer interface (BCI) using steady-state visual evoked potential (SSVEP) is a flickering sensation caused by the flashing stimuli used to induce SSVEP. To use of high-frequency flashing stimuli is one of the countermeasures of this problem. This study focused on the relationship between the magnitude of SSVEP components for each subject and proposed a high-frequency (56–70 Hz) SSVEP–BCI that uses only the frequencies at which SSVEP induction was confirmed. For comparison, the accuracy of SSVEP–BCI using learning CCA (LCCA), an extension of canonical correlation analysis (CCA), was 98.61% for the low-frequency (26–40 Hz) SSVEP–BCI for comparison, 62.78% for the high frequency (56–70 Hz) SSVEP–BCI, and 87.19% for the high frequency (56–70 Hz) SSVEP–BCI with personalized stimulus frequency. As a result of comparing with and without personalization using information transfer rate (ITR), non-personalized (normal) and personalized high-frequency SSVEP–BCI ITR were 24.25 bits/min and 29.64 bits/min.</p></div>\",\"PeriodicalId\":46050,\"journal\":{\"name\":\"Artificial Life and Robotics\",\"volume\":\"28 4\",\"pages\":\"803 - 811\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2023-08-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Artificial Life and Robotics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10015-023-00893-9\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ROBOTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Artificial Life and Robotics","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1007/s10015-023-00893-9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ROBOTICS","Score":null,"Total":0}
引用次数: 0
摘要
使用稳态视觉诱发电位(SSVEP)的脑机接口(BCI)问题是由用于诱发稳态视觉诱发电位的闪烁刺激引起的闪烁感觉。利用高频闪烁刺激是解决这一问题的对策之一。本研究的重点是每个受试者的SSVEP分量大小之间的关系,并提出了一个高频(56-70 Hz) SSVEP -脑机接口,该接口仅使用SSVEP感应被确认的频率。相比之下,使用典型相关分析(CCA)扩展的学习CCA (LCCA)对低频(26-40 Hz) SSVEP-BCI的准确率为98.61%,高频(56-70 Hz) SSVEP-BCI的准确率为62.78%,个性化刺激频率的高频(56-70 Hz) SSVEP-BCI的准确率为87.19%。采用信息传输率(ITR)进行个性化与非个性化比较,非个性化(正常)与个性化高频SSVEP-BCI ITR分别为24.25 bit /min和29.64 bit /min。
High-frequency SSVEP–BCI with less flickering sensation using personalization of stimulus frequency
The problem of brain–computer interface (BCI) using steady-state visual evoked potential (SSVEP) is a flickering sensation caused by the flashing stimuli used to induce SSVEP. To use of high-frequency flashing stimuli is one of the countermeasures of this problem. This study focused on the relationship between the magnitude of SSVEP components for each subject and proposed a high-frequency (56–70 Hz) SSVEP–BCI that uses only the frequencies at which SSVEP induction was confirmed. For comparison, the accuracy of SSVEP–BCI using learning CCA (LCCA), an extension of canonical correlation analysis (CCA), was 98.61% for the low-frequency (26–40 Hz) SSVEP–BCI for comparison, 62.78% for the high frequency (56–70 Hz) SSVEP–BCI, and 87.19% for the high frequency (56–70 Hz) SSVEP–BCI with personalized stimulus frequency. As a result of comparing with and without personalization using information transfer rate (ITR), non-personalized (normal) and personalized high-frequency SSVEP–BCI ITR were 24.25 bits/min and 29.64 bits/min.