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Proceedings Paper

Spatial independent component analysis of functional brain optical imaging
Author(s): Yong Li; Pengcheng Li; Yadong Liu; Weihua Luo; Dewen Hu; Qingming Luo
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Paper Abstract

This paper introduces the algorithm and the basic theory of Independent Component Analysis (ICA), and discusses how to choose the proper ICA model of the data by the characteristics of the underlying signals to be estimated. The Spatial ICA (SICA) is applied to model and analysis of the data in the experiment when the signals and noises are spatially dependent. The data acquired from the intrinsic optical signals which are caused by electricity stimulation to sciatic nerve of rat are analyzed by SICA. In the result, the active-related component of the signals and its time course can be separate, and the signals of heartbeat and respiration also can be separated.

Paper Details

Date Published: 8 December 2003
PDF: 9 pages
Proc. SPIE 5254, Third International Conference on Photonics and Imaging in Biology and Medicine, (8 December 2003); doi: 10.1117/12.546140
Show Author Affiliations
Yong Li, National Univ. of Defense Technology (China)
Pengcheng Li, Huazhong Univ. of Science and Technology (China)
Yadong Liu, National Univ. of Defense Technology (China)
Weihua Luo, Huazhong Univ. of Science and Technology (China)
Dewen Hu, National Univ. of Defense Technology (China)
Qingming Luo, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 5254:
Third International Conference on Photonics and Imaging in Biology and Medicine
Qingming Luo; Valery V. Tuchin; Min Gu; Lihong V. Wang, Editor(s)

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