Research Article

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

Table 1

Different combinations of multiple scales changing from 1 to 20 via ANN for monitoring DOA using BIS 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 (%)

1-10.440.40 ± 0.2152.500.530.51 ± 0.2345.10
1-20.470.50 ± 0.2754.000.680.70 ± 0.1927.14
1–30.670.68 ± 0.1927.940.690.70 ± 0.1825.71
1–40.690.70 ± 0.1420.000.720.72 ± 0.1520.83
1–50.690.70 ± 0.1420.000.720.72 ± 0.1520.83
1–60.710.71 ± 0.1419.720.730.73 ± 0.1520.55
1–70.710.71 ± 0.1419.720.730.73 ± 0.1419.18
1–80.710.71 ± 0.1419.720.740.73 ± 0.1419.18
1–90.720.72 ± 0.1419.440.750.74 ± 0.1418.92
1–100.710.71 ± 0.1622.540.750.74 ± 0.1418.92
1–110.720.72 ± 0.1419.440.760.75 ± 0.1317.33
1–120.750.74 ± 0.1216.220.760.75 ± 0.1418.67
1–130.730.73 ± 0.1419.180.760.75 ± 0.1317.33
1–140.760.74 ± 0.1216.220.760.75 ± 0.1317.33
1–150.750.74 ± 0.1317.570.760.74 ± 0.1418.92
1–160.750.74 ± 0.1317.570.760.75 ± 0.1317.33
1–170.760.74 ± 0.1317.570.770.75 ± 0.1317.33
1–180.760.74 ± 0.1317.570.750.75 ± 0.1418.67
1–190.760.74 ± 0.1317.570.760.75 ± 0.1216.00
1–200.760.75 ± 0.1216.000.760.75 ± 0.1520.00
2–200.740.73 ± 0.1317.810.730.72 ± 0.1318.06
Mean ± std0.70 ± 0.090.70 ± 0.0922.30 ± 10.610.73 ± 0.050.73 ± 0.0520.63 ± 6.21