Research Article

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

Table 2

The area under the receiver operating characteristic curve.

EventReceiver operating characteristic
EACL and SampEn via ANNBIS and SampEn via ANN

Patient 10.996 1.000
Patient 20.964 0.999
Patient 30.998 0.982
Patient 40.980 0.986
Patient 50.973 0.897
Patient 60.921 0.867
Patient 71.000 0.997
Patient 80.938 0.999
Patient 90.798 0.604
Patient 100.987 0.985
Patient 110.917 0.964
Patient 120.952 0.856
Patient 130.999 0.997
Patient 140.966 1.000
Patient 150.944 0.920
Patient 160.988 0.984
Patient 170.999 0.993
Patient 181.000 0.987
Patient 190.964 0.974
Patient 200.940 0.946
Patient 210.985 0.965
Patient 220.807 0.981
Patient 230.994 0.896
Patient 241.000 0.997

Mean ± SD0.953 ± 0.070.949 ± 0.08