Title :
Research of EEG identification computing based on AR model
Author :
Mu, Zhendong ; Hu, Jianfeng
Author_Institution :
Inst. of Inf. & Technol., Jiangxi Bluesky Univ., Nanchang, China
Abstract :
This paper proposes the use of EEG as an identification tool, With the help of AR model, the Time-domain EEG signals are converted to frequency-domain. The Characteristic are extracted according to the Fisher distance, and then analyses the Characteristic of the distribution in the frequency bands. The results show that Characteristic are mainly distributed in between 14 ~ 30 Hz.Computed with BP network technology. The results show that the average rate of the identification up to 86.7%.
Keywords :
autoregressive processes; electroencephalography; identification; AR Model; BP network technology; EEG Identification Computing; Fisher distance; distribution characteristic; frequency 14 Hz to 30 Hz; frequency bands; identification tool; Biomedical computing; Biomedical engineering; Brain modeling; Data mining; Electrodes; Electroencephalography; Foot; Paper technology; Signal processing; Time domain analysis; AR model; BP network; EEG (electroencephalogram); EEG identification;
Conference_Titel :
BioMedical Information Engineering, 2009. FBIE 2009. International Conference on Future
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-4690-2
Electronic_ISBN :
978-1-4244-4692-6
DOI :
10.1109/FBIE.2009.5405847
