NDLI: An application of common spatial pattern algorithm for accuracy improvement in classification of cortical activation pattern according to finger movement

Content Provider	IEEE Xplore Digital Library
Author	Sang Hyeon Jin Seung Hyun Lee Gwanghee Jang Yoo Jung Lee Hong Keum Shik Jinung An
Copyright Year	2015
Description	Author affiliation: Dept. of Cogno-Mechatron. Eng., Pusan Nat. Univ., Pusan, South Korea (Hong Keum Shik) \|\| Robot. Res. Div., DGIST, Daegu, South Korea (Sang Hyeon Jin; Seung Hyun Lee; Gwanghee Jang; Yoo Jung Lee; Jinung An)
Abstract	In this paper, we tried to suggest feature extraction method using CSP Algorithm to improve the accuracy of classifier according to finger movement to develop the Upper Limb Rehabilitation Robot System based on brain signal. Four subjects participated in the experiment and they conducted four kind of tasks in three times. The task is divided by two kind of movement(Digit Flexion/Extension, Thumb Flexion/Extension), and two kind of mode(Active, Passive). We measured brain signal according to finger movement using fNIRS(functional Near Infrared Spectroscopy, FOIRE-3000, Shimadzu, Japan). Also, sampling rate of measured sign is 7.6923Hz and there are 24 channels. We conducted preprocessing process using HRF(Hemodynamic Response Function) and Wavelet-MDL(minimum description length) to remove the noise and global bias in selected signal. After preprocessing process, we extracted feature using CSP(Common Spatial Pattern) Algorithm and calculated the accuracy of classification in each task using Support Vector Machine(SVM). There is accuracy of classification result by applying CSP Algorithm. Accuracy of classification using SVM is about 69.53% and after applying CSP Algorithm is about 71.82%. we can find that it improved 2.29%.
Starting Page	1260
Ending Page	1264
File Size	1395564
Page Count	5
File Format	PDF
ISBN	9784907764487
DOI	10.1109/SICE.2015.7285539
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	The Society of Instrument and Control Engineers - SICE
Subject Keyword	Thumb Support vector machines Accuracy Spectroscopy Classification algorithms Robots Finger Movement fNIRS BCI Brain Mapping
Content Type	Text
Resource Type	Article

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