Fig. 6From: An automatic method using MFCC features for sleep stage classificationThe classification accuracy and training time performance for different combinations of parameters (w and s) (The panel presents the stride values were 0.05 s, 0.1 s, 0.25 s, 0.5 s, and 1 s variation patterns)Back to article page