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. Author manuscript; available in PMC: 2024 Aug 16.
Published in final edited form as: IEEE Trans Neural Syst Rehabil Eng. 2024 Jul 11;32:2492–2502. doi: 10.1109/TNSRE.2024.3424669

TABLE I.

Performance Comparison Between the Proposed Method and Benchmark Algorithms With Single Source

Source with LNs=l Source with LNs=2 Source with LNs=3

SNR Method LE (mm) AUPRC LE (mm) AUPRC LE (mm) AUPRC

30dB MNE 4.991 ± 6.769 0.681 ± 0.207 6.336 ± 7.322 0.557 ± 0.141 8.084 ± 10.508 0.457 ±0.118
sLORETA 0.709 ± 2.562 0.870 ± 0.118 2.981 ± 4.250 0.783 ± 0.119 4.890 ± 5.483 0.662 ± 0.121
dSPM 8.890 ± 11.074 0.678 ± 0.242 12.991 ± 13.672 0.567 ±0.188 23.002 ± 20.596 0.427 ± 0.147
MCMV 1.688 ± 4.932 0.557 ± 0.202 6.463 ± 11.550 0.425 ± 0.163 10.822 ± 15.528 0.352 ± 0.140
ADMM 3.254 ± 6.012 0.895 ± 0.155 4.416 ± 5.807 0.906 ± 0.083 6.011 ± 5.432 0.869 ± 0.060
ConvDip 10.828 ± 7.607 0.577 ± 0.259 9.157 ± 6.996 0.812 ± 0.159 9.062 ± 7.171 0.868 ± 0.107
Proposed 5.046 ± 5.713 0.819 ± 0.181 3.739 ± 6.002 0.942 ± 0.097 4.478 ± 6.072 0.965 ± 0.056

20dB MNE 5.013 ± 6.824 0.679 ± 0.208 6.218 ± 7.056 0.555 ± 0.140 7.767 ± 10.626 0.457 ±0.117
sLORETA 1.447 ± 3.163 0.858 ± 0.124 2.967 ± 4.300 0.778 ± 0.121 5.085 ± 5.787 0.651 ± 0.121
dSPM 9.569 ± 12.219 0.655 ± 0.238 12.952 ± 13.736 0.554 ± 0.194 26.923 ± 28.094 0.411 ± 0.144
MCMV 1.688 ± 4.932 0.556 ± 0.203 7.236 ± 12.778 0.426 ± 0.164 11.175 ± 16.327 0.352 ± 0.141
ADMM 2.793 ± 4.825 0.895 ± 0.152 3.798 ± 4.690 0.905 ± 0.081 6.613 ± 5.454 0.864 ± 0.067
ConvDip 11.343 ± 7.775 0.569 ± 0.251 9.456 ± 6.772 0.813 ± 0.159 9.216 ± 6.820 0.866 ± 0.104
Proposed 5.978 ± 5.898 0.813 ± 0.185 3.739 ± 6.002 0.939 ± 0.100 4.387 ± 5.513 0.964 ± 0.054

lOdB MNE 4.919 ± 6.337 0.669 ± 0.203 5.307 ± 5.756 0.550 ± 0.138 7.487 ± 9.334 0.450 ±0.114
sLORETA 12.543 ± 30.572 0.569 ± 0.236 6.286 ± 6.755 0.629 ± 0.153 9.041 ± 7.622 0.536 ± 0.120
dSPM 10.190 ± 10.527 0.473 ± 0.221 15.494 ± 15.873 0.442 ±0.185 25.623 ± 20.348 0.337 ± 0.131
MCMV 1.688 ± 4.932 0.557 ± 0.202 7.639 ± 12.645 0.423 ± 0.167 10.065 ± 11.563 0.351 ± 0.142
ADMM 3.027 ± 5.543 0.888 ± 0.169 4.928 ± 5.744 0.876 ± 0.092 7.293 ± 6.747 0.801 ± 0.089
ConvDip 11.616 ± 7.704 0.558 ± 0.262 9.470 ± 7.458 0.786 ± 0.170 9.922 ± 7.279 0.851 ± 0.111
Proposed 5.608 ± 5.158 0.804 ± 0.181 4.999 ± 6.068 0.933 ± 0.099 5.068 ± 5.543 0.943 ± 0.058

Results are shown as mean ± std.