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- 後藤 和彦
- Department of Science and Advanced Technology, Saga University
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- 杉 剛直
- Department of Advanced Technology Fusion, Saga University
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- 松田 吉隆
- Department of Advanced Technology Fusion, Saga University
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- 後藤 聡
- Department of Advanced Technology Fusion, Saga University
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- 福田 裕樹
- Yanagawa Rehabilitation School
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- 後藤 純信
- Department of Occupational Therapy, International University of Health and Welfare
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- 山﨑 貴男
- Department of Clinical Neurophysiology, Kyushu University
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- 飛松 省三
- Department of Clinical Neurophysiology, Kyushu University
書誌事項
- タイトル別名
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- Real-Time Evaluation System for State of Visual Evoked Potential Recording
- シカク ユウハツ デンイ キロク ジョウタイ ノ ジツジカン ヒョウカ システム
この論文をさがす
抄録
Visual evoked potentials (VEPs) are widely used for the analysis and the diagnosis of the brain function on visual system. Since the accuracy of analysis depends on the quality of VEP record, the medical doctors and/or medical technologists always pay attention to the state of recording. In this study, the real-time evaluation system for VEP recording was newly developed. The system displayed the information for the characteristic parameters of VEPs, contaminated artifacts affecting VEP recording and the appearance of background EEG activity in real-time during the recording. Tendency of the VEP characteristics was also comparable with the past VEP records in the data base. Blink artifacts, electromyographic (EMG) artifacts and posterior alpha wave were detected for evaluating the state of subjects. Developed system was applied to VEP recordings of ten healthy adults, then the effectiveness of the proposed system was investigated. Results were revealed that the system achieved the quality of VEP recording with sufficient level and reduced the laborious and time consuming task during the recording. The developed system will be useful as an assistant tool in VEP recordings.
収録刊行物
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- 生体医工学
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生体医工学 50 (5), 433-442, 2012
公益社団法人 日本生体医工学会
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詳細情報 詳細情報について
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- CRID
- 1390282680243300224
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- NII論文ID
- 130004494190
- 40019567027
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- NII書誌ID
- AA11633569
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- ISSN
- 18814379
- 1347443X
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- NDL書誌ID
- 024240591
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可