@techreport{oai:kindai.repo.nii.ac.jp:00003456,
 author = {吉田,  久 and 小濱,  剛},
 month = {Jan},
 note = {研究成果の概要（和文): 本研究の主たる目的は光イメージング(fNIRS)および脳波に基づいた「眠気に抗した覚醒維持状態」の脳機能の解明と解析法を見出すことである. 脳波計測の相補的な信号を計測するために導入したfNIRS信号には, 脳活動による血中酸化・脱酸化ヘモグロビン量変化の成分だけではなく, 心拍による血流量変化などの全身性成分や体動によるアーチファクトが少なからず含まれることが明らかになった. そこで本研究では脳血流動態（BOLD効果）を利用するfNIRS信号分離法と独立成分分析法による分離を組合せたハイブリッド分離方法を開発した.          研究成果の概要（英文): The main objective of the research is to develop a method for analyzing functional brain networks using electroencephalography (EEG) and functional Near-Infrared Spectroscopy (fNIRS). We introduced fNIRS signal because fNIRS signal have the advantage that there is no interference from electro-oculogram (EOG) signal. However, it has some drawbacks, i.e., it contains not only functional signals of the brain but also systemic physiological signals evoked by physiological changes and body motion. We evaluated a separation method based on differences in hemodynamic modalities and based on independent component analysis (ICA). We, then, propose a new method which combines the above two methods in order to compensate for the drawbacks of both the methods in a complementary style. The results showed that the proposed method could be removed various artifact which often contaminated fNIRS signals., 研究種目：基盤研究(C);  研究期間：2012～2014;   課題番号：24560534;   研究分野：統計的生体信号処理;   科研費の分科・細目：, application/pdf},
 title = {光イメージングおよび多次元生体信号計測による覚醒維持状態の脳・生理機能解析},
 year = {2014},
 yomi = {ヨシダ, ヒサシ and コハマ, タケシ}
}