Processing near infrared Spectroscopy signals using canonical correlation analysis

被引：0
|
作者：
Ciftci, Koray [1 ]
Sankur, Bulent [2 ]
Akin, Ata [1 ]
Kahya, Yasemin P. [2 ]
机构：
[1] Bogazici Univ, Biyomedikal Muhendisligi Enstitusu, Istanbul, Turkey
[2] Bogazici Univ, Elekt & Elekt Muhendisligi Bolumu, TR-34342 Istanbul, Turkey
来源：
2006 IEEE 14TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS, VOLS 1 AND 2 | 2006年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Functional near infrared spectroscopy signals (MRS) are measured by a number of LED-detector pairs. Estimation of event related responses from these signals needs multivariate analysis methods. This study concentrates on a particular multivariate method, namely the canonical correlation analysis and investigates its use for eliminating trend and noise effects from fNIRS signals and estimating event related haemodynamic response. Proposed methods are applied to real cognitive data for validation.
引用
收藏
页码：778 / +
页数：2
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