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Table 5 Error measure ED1 for the four inverse algorithms, with regularization, under four different noise levels: 25 dB, 15 dB, 10 dB and 5 dB. Each cell value gives the mean and standard deviation.

From: Review on solving the inverse problem in EEG source analysis

   ED1
   Regularised
  SNR/dB 5 10 15 25
  Layer     
WMN Surface 3.46 ± 0.42 2.10 ± 0.28 1.34 ± 0.11 1.13 ± 0.03
  Middle 5.08 ± 0.50 3.94 ± 0.38 2.95 ± 0.21 2.40 ± 0.03
  Deep 5.91 ± 0.39 5.31 ± 0.36 4.61 ± 0.24 3.89 ± 0.15
sLORETA Surface 0.99 ± 0.1 0.49 ± 0.08 0.11 ± 0.04 0.00 ± 0.00
  Middle 1.61 ± 0.13 0.84 ± 0.11 0.25 ± 0.07 0.00 ± 0.00
  Deep 1.79 ± 0.25 0.95 ± 0.16 0.39 ± 0.13 0.00 ± 0.00
LORETA Surface 2.32 ± 0.08 2.18 ± 0.04 2.16 ± 0.03 2.21 ± 0.02
  Middle 1.51 ± 0.13 1.15 ± 0.08 0.95 ± 0.07 1.05 ± 0.06
  Deep 2.30 ± 0.21 1.81 ± 0.13 1.59 ± 0.11 1.53 ± 0.09
SLF Surface 5.27 ± 0.30 4.50 ± 0.28 3.81 ± 0.20 2.98 ± 0.13
  Middle 4.53 ± 0.39 4.09 ± 0.35 3.50 ± 0.31 2.51 ± 0.15
  Deep 3.89 ± 0.55 3.70 ± 0.45 3.27 ± 0.48 1.73 ± 0.30