Effect of electrode density and measurement noise on the spatial resolution of cortical potential distribution

被引:32
作者
Ryynänen, ORM
Hyttinen, JAK
Laarne, PH
Malmivuo, JA
机构
[1] Tampere Univ Technol, Ragnar Granit Inst, FIN-33101 Tampere, Finland
[2] Tampere Univ Technol, Ragnar Granit Inst, FIN-33101 Tampere, Finland
[3] Tampere Univ Hosp, Dept Clin Neurophysiol, FIN-33521 Tampere, Finland
基金
芬兰科学院;
关键词
cortical potential distribution electroencephalography (EEG); inverse problem; spatial resolution; spherical head model; singular value decomposition (SVD);
D O I
10.1109/TBME.2004.828036
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The purpose of the present study was to examine the spatial resolution of electroencephalography (EEG) by means of inverse cortical EEG solution. The main interest was to study how the number of measurement electrodes and the amount of measurement noise affects the spatial resolution. A three-layer spherical head model was used to obtain the source-field relationship of cortical potentials and scalp EEG field. Singular value decomposition was used to evaluate the spatial resolution with various measurement noise estimates. The results suggest that as the measurement noise increases the advantage of dense electrode systems is decreased. With low realistic measurement noise, a more accurate inverse cortical potential distribution can be obtained with an electrode system where the distance between two electrodes is as small as 16 mm, corresponding to as many as 256 measurement electrodes. In clinical measurement environments, it is always beneficial to have at least 64 measurement electrodes.
引用
收藏
页码:1547 / 1554
页数:8
相关论文
共 31 条
  • [1] Spline Laplacian estimate of EEG potentials over a realistic magnetic resonance-constructed scalp surface model
    Babiloni, F
    Babiloni, C
    Carducci, F
    Fattorini, L
    Onorati, P
    Urbano, A
    [J]. ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, 1996, 98 (04): : 363 - 373
  • [2] A high resolution EEG method based on the correction of the surface Laplacian estimate for the subject's variable scalp thickness
    Babiloni, F
    Babiloni, C
    Carducci, F
    DelGaudio, M
    Onorati, P
    Urbano, A
    [J]. ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, 1997, 103 (04): : 486 - 492
  • [3] Fernandez Mireya, 2000, Biomedical Instrumentation and Technology, V34, P125
  • [4] HIGH-RESOLUTION EEG - 124-CHANNEL RECORDING, SPATIAL DEBLURRING AND MRI INTEGRATION METHODS
    GEVINS, A
    LE, J
    MARTIN, NK
    BRICKETT, P
    DESMOND, J
    REUTTER, B
    [J]. ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, 1994, 90 (05): : 337 - 358
  • [5] GEVINS A, 1991, Brain Topography, V4, P125, DOI 10.1007/BF01132769
  • [6] Golub G.H., 2013, Matrix Computations, V4th
  • [7] Hansen P. C., 1998, RANK DEFICIENT DISCR
  • [8] Estimating cortical potentials from scalp EEG's in a realistically shaped inhomogeneous head model by means of the boundary element method
    He, B
    Wang, YH
    Wu, DS
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1999, 46 (10) : 1264 - 1268
  • [9] ONLINE TRANSFORMATION OF EEG SCALP POTENTIALS INTO ORTHOGONAL SOURCE DERIVATIONS
    HJORTH, B
    [J]. ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, 1975, 39 (05): : 526 - 530
  • [10] Investigation into the origin of the noise of surface electrodes
    Huigen, E
    Peper, A
    Grimbergen, CA
    [J]. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2002, 40 (03) : 332 - 338