Time-series models of the EEG wearing overcorrected glasses

Yohei Tomita, Shin Ichi Ito, Yasue Mitsukura, Minoru Fukumi, Taketoshi Suzuki

研究成果: Conference contribution

2 引用 (Scopus)

抜粋

Most people do not notice the overcorrected glasses in daily life. The overcorrected glasses have harmful effects on the eye. Then, these effects are thought to have harmful effects on the brain, too. Therefore, to reveal the effects on the brain by the overcorrection, we analyze electroencephalogram (EEG). At the experiment, the subject played the PC game for 30 minutes (techno-stress) with overcorrected glasses. As the results for time-series analysis and average-variance analysis, the differences of the EEG feature between the correction and the overcorrection are confirmed.

元の言語English
ホスト出版物のタイトルKnowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings
ページ450-457
ページ数8
エディションPART 2
DOI
出版物ステータスPublished - 2008 12 24
外部発表Yes
イベント12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008 - Zagreb, Croatia
継続期間: 2008 9 32008 9 5

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 2
5178 LNAI
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

Other

Other12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008
Croatia
Zagreb
期間08/9/308/9/5

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

フィンガープリント Time-series models of the EEG wearing overcorrected glasses' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用

    Tomita, Y., Ito, S. I., Mitsukura, Y., Fukumi, M., & Suzuki, T. (2008). Time-series models of the EEG wearing overcorrected glasses. : Knowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings (PART 2 版, pp. 450-457). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 5178 LNAI, 番号 PART 2). https://doi.org/10.1007/978-3-540-85565-1-56