Research Article

EEG Signals Analysis Using Multiscale Entropy for Depth of Anesthesia Monitoring during Surgery through Artificial Neural Networks

Table 2

Different combinations of multiple scales changing from 1 to 20 via ANN for monitoring DOA using EACL as gold standard. 1-1 in the first column represents the input data of ANN model that is the entropy at time scale 1, and 1–20 indicates that there are multiple scales from 1 to 20 and so on.

Scale(s)Before filteringAfter filtering
CorrcoefCV (%)CorrcoefCV (%)

1-10.560.56 ± 0.1628.570.610.58 ± 0.2136.21
1-20.800.80 ± 0.078.750.820.83 ± 0.056.02
1–30.810.82 ± 0.067.320.820.83 ± 0.056.02
1–40.820.82 ± 0.078.540.840.85 ± 0.055.88
1–50.810.81 ± 0.067.410.840.84 ± 0.055.95
1–60.810.82 ± 0.078.540.840.85 ± 0.055.88
1–70.830.83 ± 0.067.230.850.85 ± 0.044.71
1–80.830.83 ± 0.067.230.840.85 ± 0.044.71
1–90.830.83 ± 0.067.230.850.85 ± 0.044.71
1–100.840.84 ± 0.055.950.840.84 ± 0.055.95
1–110.840.84 ± 0.055.950.850.85 ± 0.044.71
1–120.840.84 ± 0.055.950.850.86 ± 0.044.65
1–130.830.83 ± 0.067.230.860.86 ± 0.044.65
1–140.850.85 ± 0.055.880.860.86 ± 0.044.65
1–150.840.84 ± 0.055.950.860.86 ± 0.044.65
1–160.850.85 ± 0.055.880.860.86 ± 0.044.65
1–170.850.85 ± 0.055.880.860.86 ± 0.044.65
1–180.860.85 ± 0.055.880.860.87 ± 0.033.45
1–190.860.85 ± 0.055.880.860.86 ± 0.044.65
1–200.860.85 ± 0.055.880.860.86 ± 0.044.65
2–200.820.82 ± 0.067.320.810.81 ± 0.078.64
Mean ± std0.82 ± 0.060.82 ± 0.067.83 ± 4.850.84 ± 0.050.84 ± 0.066.67 ± 6.85