Electroencephalographic study of real-time arithmetic task recognition

2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2017-06-01 DOI:10.3126/AJMS.V10I1.21035

Phakkharawat Sittiprapaporn, Shao-Chin Chang

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引用次数: 2

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.

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实时算术任务识别的脑电图研究

本研究的目的是确定实时算术识别任务对认知表现和脑电图活动的影响。本研究共有8名参与者。参与者被要求练习实时算术识别任务，包括算术和数学技能。在练习由NeuroSky, Inc.开发的名为SpeedMath的实时算术识别任务时，还使用轻量级脑电图设备(Mindwave Mobile, NeuroSky, Inc.)记录了脑电图活动。结果显示，只有α和β频带增加，在0.05水平上有统计学意义。参与者分别在速度、记忆力、注意力、灵活性和解决问题能力方面表现出了显著的进步。实时算术识别任务可以显著提高认知表现在所有领域的训练，即速度，记忆力，注意力，灵活性和解决问题的能力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)

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