Study on Single-Channel EEG Pattern Induced by Acupuncture

被引：0
|
作者：
Zhang, Tinglin [1 ,2 ]
Li, Guang [1 ,2 ]
Liljenstrom, Hans [3 ]
机构：
[1] Zhejiang Univ, State Key Lab Ind Control Technol, 38 Zheda Rd, Hangzhou 310027, Zhejiang, Peoples R China
[2] Zhejiang Univ, Dept Control Sci & Engn, 38 Zheda Rd, Hangzhou 310027, Zhejiang, Peoples R China
[3] SLU, Dept Energy & Technol, POB 7032, S-75007 Uppsala, Sweden
来源：
ADVANCES IN COGNITIVE NEURODYNAMICS (V) | 2016年
关键词：
Acupuncture; Zusanli; Ensemble empirical mode decomposition; Analytic amplitude; Extreme learning machine; MODE;
D O I：
10.1007/978-981-10-0207-6_66
中图分类号：
Q189 [神经科学];
学科分类号：
071006 ;
摘要：
A new approach for recognizing single-channel EEG pattern induced by acupuncture on acupoint of Zusanli was presented. EEG was decomposed by ensemble empirical mode decomposition (EEMD) into a small number of intrinsic mode functions (IMFs) based on intrinsic local characteristic time scale. The power, standard deviation, and analytic amplitude of first two IMFs expressed the difference between normal EEG and EEG affected by acupuncture. The two EEG patterns could be classified by extreme learning machine (ELM) with faster and better classification performance compared with BP. Similar classification accuracy of different channels indicated the global EEG pattern affected by acupuncture.
引用
收藏
页码：485 / 491
页数：7
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