{"title":"实时算术任务识别的脑电图研究","authors":"Phakkharawat Sittiprapaporn, Shao-Chin Chang","doi":"10.3126/AJMS.V10I1.21035","DOIUrl":null,"url":null,"abstract":"The purpose of this study was to determine the effect of real-time arithmetic recognition task for cognitive performance and EEG activity. Eight participants were participated in this study. Participants were instructed to practice the real-time arithmetic recognition task which include arithmetic and mathematic skills. While practicing the real-time arithmetic recognition task named SpeedMath developed by NeuroSky, Inc., EEG activity were also recorded by using the lightweight EEG device, Mindwave Mobile, NeuroSky, Inc. The results revealed that only alpha and beta frequency bands were increased with statistically significant at the 0.05 level. Participants have shown significantly mean improvement in speed, memory, attention, flexibility and problem solving, respectively. The real-time arithmetic recognition task could significantly improve cognitive performance in all areas of training i.e. speed, memory, attention, flexibility and problem solving, respectively.","PeriodicalId":273911,"journal":{"name":"2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"618 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Electroencephalographic study of real-time arithmetic task recognition\",\"authors\":\"Phakkharawat Sittiprapaporn, Shao-Chin Chang\",\"doi\":\"10.3126/AJMS.V10I1.21035\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of this study was to determine the effect of real-time arithmetic recognition task for cognitive performance and EEG activity. Eight participants were participated in this study. Participants were instructed to practice the real-time arithmetic recognition task which include arithmetic and mathematic skills. While practicing the real-time arithmetic recognition task named SpeedMath developed by NeuroSky, Inc., EEG activity were also recorded by using the lightweight EEG device, Mindwave Mobile, NeuroSky, Inc. The results revealed that only alpha and beta frequency bands were increased with statistically significant at the 0.05 level. Participants have shown significantly mean improvement in speed, memory, attention, flexibility and problem solving, respectively. The real-time arithmetic recognition task could significantly improve cognitive performance in all areas of training i.e. speed, memory, attention, flexibility and problem solving, respectively.\",\"PeriodicalId\":273911,\"journal\":{\"name\":\"2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)\",\"volume\":\"618 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3126/AJMS.V10I1.21035\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3126/AJMS.V10I1.21035","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Electroencephalographic study of real-time arithmetic task recognition
The purpose of this study was to determine the effect of real-time arithmetic recognition task for cognitive performance and EEG activity. Eight participants were participated in this study. Participants were instructed to practice the real-time arithmetic recognition task which include arithmetic and mathematic skills. While practicing the real-time arithmetic recognition task named SpeedMath developed by NeuroSky, Inc., EEG activity were also recorded by using the lightweight EEG device, Mindwave Mobile, NeuroSky, Inc. The results revealed that only alpha and beta frequency bands were increased with statistically significant at the 0.05 level. Participants have shown significantly mean improvement in speed, memory, attention, flexibility and problem solving, respectively. The real-time arithmetic recognition task could significantly improve cognitive performance in all areas of training i.e. speed, memory, attention, flexibility and problem solving, respectively.