Table 3 Performance of the proposed scheme for two databases: UCDDB and SHHS1
From: An automatic method using MFCC features for sleep stage classification
Dataset | Number of Testing Epochs | Overall Metrics | F1-Score(F1) (%) | ||||||
|---|---|---|---|---|---|---|---|---|---|
ACC (%) | \(\kappa\) | TCI | W | S1 | S2 | S3 | REM | ||
UCDDB | 2560 | 73.07 | 0.63 | 1.45 | 78.14 | 78.98 | 52.75 | 75.67 | 67.41 |
SHHS1-100 | 10240 | 82.35 | 0.75 | 0.55 | 93.79 | 27.09 | 79.45 | 64.09 | 82.17 |