[1] Wu C, Qu S, Zhang J, et al. Correlation between the effects of acupuncture at Taichong (LR3) and functional brain areas: a resting-state functional magnetic resonance imaging study using true versus sham acupuncture[J]. Evidence-Based Complementary and Alternative Medicine, 2014: 729091.
[2] Romoli M, Allais G, Airola G, et al. Ear acupuncture and fMRI: a pilot study for assessing the specificity of auricular points[J]. Neurological Sciences, 2014, 35(1): 189-193.
[3] 徐桂芝, 张秀, 杨庆新, 等. 磁刺激穴位对人体神经功能调节作用[J]. 电工技术学报, 2010, 25(4): 34-37.
Xu Guizhi, Zhang Xiu, Yang Qingxin, et al. Effects of magnetic stimulation on Acupoints for regulation of human neural function[J]. Transactions of China Electrotechnical Society, 2010, 25(4): 34-37.
[4] Yu Q, Sui J, Rachakonda S, et al. Altered topological properties of functional network connectivity in schizophrenia during resting state: a small-world brain network study[J]. PLoS One, 2011, 6(9): e25423.
[5] Lei X, Wang Y, Yuan H, et al. Brain scale-free properties in awake rest and NREM sleep: a simu- ltaneous EEG/fMRI study[J]. Brain Topography, 2015, 28(2): 292-304.
[6] 尹宁, 徐桂芝, 周茜. 磁刺激穴位复杂脑功能网络构建与分析[J]. 物理学报, 2013, 62(11): 118704.
Yin Ning, Xu Guizhi, Zhou Qian. Construction and analysis of complex brain functional network under acupoint magnetic stimulation[J]. Acta Physica Sinica, 2013, 62(11): 118704.
[7] 郑晶晶, 牛力敏, 程忱, 等. 静息态功能脑网络的基因基础以及分类研究[J]. 计算机应用与软件, 2015, 32(4): 59-62.
Zheng Jingjing, Niu Limin, Cheng Chen, et al. Research on basis of genes of functional brain network in resting state and its classification[J]. Computer Applications and Software, 2015, 32(4): 59-62.
[8] Alcaraz R, Rieta J J. A review on sample entropy applications for the non-invasive analysis of atrial fibrillation electrocardiograms[J]. Biomedical Signal Processing and Control, 2010, 5(1): 1-14.
[9] Gao J B, Hu J, Tung W W. Entropy measures for biological signal analyses[J]. Nonlinear Dynamics, 2012, 68(3): 431-444.
[10] 郭旭, 张宏, 冯泽国, 等. 全麻状态下呼气末二氧化碳对脑电非线性参数的影响[J]. 北京医学, 2010, 32(8): 613-615.
Guo Xu, Zhang Hong, Feng Zeguo, et al. The effect of changes of end-tidal carbon dioxide pressure on the EEG no-linear parameters during general anesthesia[J]. Beijing Medical Journal, 2010, 32(8): 613-615.
[11] Zhao Q, Hu B, Liu L, et al. An EEG based nonlinearity analysis method for schizophrenia diagnosis[J]. Biomedical Engineering, 2012, 9(1): 136.
[12] 李文文, 徐桂芝, 陈小刚, 等. 磁刺激内关穴的脑电源定位分析[J]. 中国生物医学工程学报, 2011, 30(1): 22-26.
Li Wenwen, Xu Guizhi, Chen Xiaogang, et al. The analysis of EEG source localization under magnetic stimulation at acupoint of Neiguan (PC6)[J]. Chinese Journal of Biomedical Engineering, 2011, 30(1): 22-26.
[13] Shen E H, Cai Z J, Gu F J. Mathematical foundation of a new complexity measure[J]. Applied Mathema- tics and Mechanics, 2005, 26(9): 1188-1196.
[14] 孙克辉, 贺少波, 朱从旭, 等. 基于C 0 算法的混沌系统复杂度特性分析[J]. 电子学报, 2013, 41(9): 1765-1771.
Sun Kehui, He Shaobo, Zhu Congxu, et al. Analysis of chaotic complexity characteristics based on C 0 algorithm[J]. Acta Electronica Sinica, 2013, 41(9): 1765-1771.
[15] Ciganovic N, Beaudry N J, Renner R. Smooth max-information as one-shot generalization for mutual information[J]. IEEE Transactions on Infor- mation Theory, 2014, 60(3): 1573-1581.
[16] 刘晓明, 李俐莹, 蔡巍, 等. 电场场域可视性复杂网络模型研究[J]. 电工技术学报, 2016, 31(3): 89-96.
Liu Xiaoming, Li Liying, Cai Wei, et al. Study on complex network model of field visibility in electric field[J]. Transactions of China Electrotechnical Society, 2016, 31(3): 89-96.
[17] 谷鑫, 胡升, 史婷娜, 等. 基于神经网络的永磁同步电机多参数解耦在线辨识[J]. 电工技术学报, 2015, 30(6): 114-121.
Gu Xin, Hu Sheng, Shi Tingna, et al. Muti-parameter decoupling online identification of permanent magnet synchronous motor based on neural network[J]. Transactions of China Electrotechnical Society, 2015, 30(6): 114-121.
[18] 陈忠仁, 陈果, 何业军. 基于小世界加权拓扑模型的配电网接地故障选线研究[J]. 电力系统保护与控制, 2014, 42(20): 98-103.
Chen Zhongren, Chen Guo, He Yejun. Grounded fault line selection of distribution grid based on small-world weighted topology model[J]. Power System Protection and Control, 2014, 42(20): 98-103.
[19] Watts D J, Strogatz S H. Collective dynamics of “small-world” networks[J]. Nature, 1998, 393(6684): 440-442.
[20] 杨田, 刘晓明, 吴其, 等. 储能电站对电网相称性混合的影响研究[J]. 电工技术学报, 2015, 30(13): 63-68.
Yang Tian, Liu Xiaoming, Wu Qi, et al. Research on the effect of energy storage station on assortative mixing in the power grid[J]. Transactions of China Electrotechnical Society, 2015, 30(13): 63-68.
[21] Humphries M D, Gurney K, Prescott T J. The brainstem reticular formation is a small world, not scale-free, network[J]. Proceedings of the Royal Society of London B: Biological Sciences, 2006, 273 (1585): 503-511. |