Skip to main content
Fig. 2 | BMC Medical Informatics and Decision Making

Fig. 2

From: Comparing different wavelet transforms on removing electrocardiogram baseline wanders and special trends

Fig. 2Fig. 2

1. Sinusoidal Waves Mean Square Error across 14 wavelets: (1) wavelet type:“db”:Daubechies, “coif”:Coiflets, “sym”:Symlets, “fk4”:Fejer-Korovkin, “dmey”:Meyer (2) the result is the average of all trend sinusoidal frequencies (0.05–0.5 Hz). 2. Step Function Mean Square Error across 14 wavelets: (1) wavelet type:“db”:Daubechies, “coif”:Coiflets, “sym”:Symlets, “fk4”:Fejer-Korovkin, “dmey”:Meyer. 3. Spike Function Mean Square Error across 14 wavelets: (1) wavelet type:“db”:Daubechies, “coif”:Coiflets, “sym”:Symlets, “fk4”:Fejer-Korovkin, “dmey”:Meyer

Back to article page