Magnetoencephalography Source Localization using Improved Simplex Method

被引:0
|
作者
An, Kwang-Ok [1 ]
Im, Chang-Hwan [2 ]
Jung, Hyun-Kyo [1 ]
机构
[1] Seoul Natl Univ, Sch Elect Engn, Seoul, South Korea
[2] Yonsei Univ, Dept Biomed Engn, Wonju, South Korea
关键词
Equivalent current dipole (ECD); Initial simplex; Magnetoencephalography (MEG); Shaking technique; Simplex method;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Simplex method has been used extensively for magnetoencephalography (MEG) source localization problems. Like other deterministic techniques, however, it can be easily trapped in local optima. In this study, some modifications have been made to improve the ability of finding global optima: 1) constructing an initial simplex using sensitivity of variables, 2) considering relationship between variables, and 3) performing a shaking technique based on polynomial interpolation. The efficiency of the proposed method was tested using simulated MEG data. From the simulation results, it is verified that the improved simplex method can yield more reliable inverse solutions than the conventional one.
引用
收藏
页码:2726 / +
页数:2
相关论文
共 50 条
  • [21] An improved multiresolution technique to reconstruct magnetoencephalography(MEG) source distribution
    Im, Chang-Hwan
    An, Kwang-Ok
    Jung, Hyun-Kyo
    Lee, Yong-Ho
    Kwon, Hyuk-Chan
    International Journal of Control, Automation and Systems, 2003, 1 (03) : 385 - 389
  • [22] The correlation coefficient and the goodness of fit in source localization of noise recorded by magnetoencephalography
    Siedenberg, R
    Goodin, DS
    Aminoff, MJ
    Rowley, HA
    Roberts, TPI
    BRAIN TOPOGRAPHY, 1996, 9 (02) : 95 - 100
  • [23] Clinical Validation of the Champagne Algorithm for Evoked Response Source Localization in Magnetoencephalography
    Bhutada, Abhishek S.
    Cai, Chang
    Mizuiri, Danielle
    Findlay, Anne
    Chen, Jessie
    Tay, Ashley
    Kirsch, Heidi E.
    Nagarajan, Srikantan S.
    BRAIN TOPOGRAPHY, 2022, 35 (01) : 96 - 107
  • [24] Deep Source Localization with Magnetoencephalography Based on Sensor Array Decomposition and Beamforming
    Hu, Yegang
    Lin, Yicong
    Yang, Baoshan
    Tang, Guangrui
    Liu, Tao
    Wang, Yuping
    Zhang, Jicong
    SENSORS, 2017, 17 (08):
  • [25] Application of source localization algorithms in magnetoencephalography: test on a new generation of magnetometers
    Marhl, U.
    Jodko-Wladzinska, A.
    Bruehl, R.
    Sander, T. H.
    Jazbinsek, V.
    2019 42ND INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO), 2019, : 357 - 362
  • [26] Parameter estimation and dynamic source localization for the magnetoencephalography (MEG) inverse problem
    Lamus, C.
    Long, C. J.
    Hamalainen, M. S.
    Brown, E. N.
    Purdon, P. L.
    2007 4TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING : MACRO TO NANO, VOLS 1-3, 2007, : 1092 - +
  • [27] The Value of Source Localization for Clinical Magnetoencephalography: Beyond the Equivalent Current Dipole
    Tenney, Jeffrey R.
    Fujiwara, Hisako
    Rose, Douglas F.
    JOURNAL OF CLINICAL NEUROPHYSIOLOGY, 2020, 37 (06) : 537 - 544
  • [28] Clinical Validation of the Champagne Algorithm for Evoked Response Source Localization in Magnetoencephalography
    Abhishek S. Bhutada
    Chang Cai
    Danielle Mizuiri
    Anne Findlay
    Jessie Chen
    Ashley Tay
    Heidi E. Kirsch
    Srikantan S. Nagarajan
    Brain Topography, 2022, 35 : 96 - 107
  • [29] Ridged Waveguide Filter Optimization Using an Improved Simplex Method
    Yahia, Mohamed
    Thabet, Rawdha
    Tao, Jun-Wu
    Riabi, Mohamed Lahdi
    2012 6TH INTERNATIONAL CONFERENCE ON SCIENCES OF ELECTRONICS, TECHNOLOGIES OF INFORMATION AND TELECOMMUNICATIONS (SETIT), 2012, : 203 - 206
  • [30] Source Localization using TDOA Based on Improved Snake Optimizer
    Liao, Yanping
    Wang, Yongpeng
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2024, 43 (08) : 5237 - 5261