Title :
Signal source localization by using self-organizing relationship network
Author :
Tokiwa, Tatsuji ; Ishizuka, Satoru ; Horio, K. ; Yamakawa, Takeshi
Author_Institution :
Dept. of Brain Sci. & Eng., Kyushu Inst. of Technol., Fukuoka, Japan
Abstract :
It is essential technique to accurately localize a signal source in a brain for successful surgery of intractable epilepsy patients. In order to improve the accuracy of the localization, in this paper, we will introduce a localizing method by using Self-Organnizing Relationship (SOR) network. The SOR network has a feature of realizing an approximation of a desirable input/output relationship of a target system. We think that the feature can be also applied the signal source localizing.
Keywords :
brain; medical disorders; medical signal processing; neurophysiology; self-organising feature maps; source separation; surgery; SOR network; brain; intractable epilepsy patients; self-organizing relationship network; signal source localization; surgery; target system; Accuracy; Interpolation; Epilepsy; Rat Brain; Self-Organizing Relationship Network; Signal Source Localization; Subthreshold Stimulation;
Conference_Titel :
World Automation Congress (WAC), 2010
Conference_Location :
Kobe
Print_ISBN :
978-1-4244-9673-0
Electronic_ISBN :
2154-4824
