Research Article
Quality-on-Demand Compression of EEG Signals for Telemedicine Applications Using Neural Network Predictors
Table 6
Estimation of CC using different two-stage schemes.
| EEG data set | (%) | Q1 | Q2 | Q3 |
| DS1 | 1 | 0.982 | 0.958 | 0.923 | 3 | 0.972 | 0.93 | 0.875 | 5 | 0.964 | 0.921 | 0.842 | 7 | 0.942 | 0.90 | 0.83 | 9 | 0.891 | 0.865 | 0.81 |
| DS2 | 1 | 0.99 | 0.98 | 0.976 | 3 | 0.987 | 0.97 | 0.962 | 5 | 0.965 | 0.952 | 0.92 | 7 | 0.95 | 0.93 | 0.90 | 9 | 0.921 | 0.91 | 0.89 |
| DS3 | 1 | 0.984 | 0.97 | 0.965 | 3 | 0.974 | 0.961 | 0.951 | 5 | 0.932 | 0.91 | 0.88 | 7 | 0.92 | 0.89 | 0.862 | 9 | 0.90 | 0.887 | 0.86 |
|
|