Table 2 The results of the MFCC features based on different window and stride selection
From: An automatic method using MFCC features for sleep stage classification
Window (s) | Stride(s) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
0.05 | 0.1 | 0.25 | 0.5 | 1 | ||||||
Acc (%) | Time(s) | Acc (%) | Time (s) | Acc (%) | Time (s) | Acc (%) | Time (s) | Acc (%) | Time (s) | |
0.10 | 69.69 | 1913 | – | – | – | – | – | – | – | – |
0.25 | – | – | 76.05 | 981 | – | – | – | – | – | – |
0.50 | – | – | 78.01 | 953 | 82.35 | 401 | – | – | – | – |
1.00 | – | – | 78.28 | 936 | 73.95 | 397 | 76.07 | 227 | – | – |
1.50 | – | – | 75.34 | 916 | 78.29 | 397 | 74.32 | 225 | 72.18 | 146 |
2.00 | – | – | 75.92 | 916 | 74.90 | 394 | 73.84 | 227 | 76.49 | 140 |
2.50 | – | – | 74.89 | 893 | 76.13 | 395 | 75.17 | 223 | 73.65 | 142 |
3.00 | – | – | 79.02 | 872 | 77.42 | 393 | 72.20 | 221 | 73.76 | 137 |