Research Article

Sample Entropy Analysis of EEG Signals via Artificial Neural Networks to Model Patients’ Consciousness Level Based on Anesthesiologists Experience

Table 1

The result of correlation coefficient and mean square error.

EventCorrelation coefficientMean square error
EACL and SampEn via ANNEACL and BISBIS and SampEn via ANNEACL and SampEn via ANNEACL and BISBIS and SampEn via ANN

Patient 10.85 0.87 0.94 7.99 11.31 15.71
Patient 20.59 0.73 0.84 12.60 7.20 13.54
Patient 30.55 0.67 0.80 11.94 11.58 11.31
Patient 40.75 0.60 0.54 7.07 18.17 11.62
Patient 50.73 0.82 0.69 9.88 7.49 12.31
Patient 60.75 0.39 0.51 11.76 14.72 17.08
Patient 70.85 0.83 0.80 6.74 15.77 14.15
Patient 80.78 0.88 0.87 7.26 13.99 14.09
Patient 90.60 0.40 0.50 10.09 17.39 18.61
Patient 100.87 0.65 0.55 9.93 12.58 12.84
Patient 110.67 0.51 0.82 19.43 14.44 20.03
Patient 120.79 0.68 0.82 12.55 10.56 10.77
Patient 130.85 0.75 0.78 4.09 11.95 13.03
Patient 140.89 0.80 0.90 9.61 15.32 7.38
Patient 150.72 0.75 0.76 10.36 9.63 12.60
Patient 160.88 0.30 0.22 10.01 21.67 20.15
Patient 170.83 0.62 0.78 6.82 8.04 8.19
Patient 180.90 0.89 0.87 8.17 8.78 9.87
Patient 190.63 0.53 0.49 9.20 14.85 16.98
Patient 200.70 0.62 0.88 10.00 15.09 9.54
Patient 210.78 0.36 0.52 8.07 22.48 20.21
Patient 220.11 0.24 0.87 18.32 17.90 7.35
Patient 230.68 0.63 0.82 19.35 21.30 8.25
Patient 240.75 0.50 0.58 3.36 12.12 12.16

Mean ± SD0.73 ± 0.170.62 ± 0.190.71 ± 0.1810.19 ± 4.1313.93 ± 4.3813.24 ± 3.99