Table 2 Results of filtering mfVEP signals (N = 600, p = 250, Ts = 1/1200 s)
From: Coding Prony’s method in MATLAB and applying it to biomedical signal filtering
Well-approximated control signals (%) | Well-approximated MS signals (%) | SNRCONTROLS | SNRMS | AUC | |
|---|---|---|---|---|---|
DFT | – | – | 3.59 ± 2.89 | 2.44 ± 2.11 | 0.6538 |
LS | 99.57% | 99.91% | 4.95 ± 4.19 | 2.85 ± 2.49 | 0.7055 |
TLS | 48.79% | 42.90% | 3.65 ± 2.89 | 2.54 ± 2.24 | 0.6472 |
MPM | 99.57% | 99.91% | 4.95 ± 4.19 | 2.85 ± 2.49 | 0.7055 |