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Fig. 4 | Bioelectronic Medicine

Fig. 4

From: Coarse-graining and the Haar wavelet transform for multiscale analysis

Fig. 4

Sample entropy was computed using three different wavelets to decompose signals into wavelet approximations: Haar (equivalent to coarse-graining), db4, and sym9. The latter two have been cited previously as potentially optimal for analyzing biological signals. The data used for these plots were downloaded from the public PhysioNet database (www.physionet.org) (Goldberger et al., 2000). The exact files are named in each figure box. Chb files are from the CHB-MIT Scalp EEG Database, representing pediatric subjects with intractable seizures (Shoeb, 2009). The rbd file is from the CAP Sleep Database (Terzano et al., 2001). The file 0001.dat is an ECG signal from the Autonomic Aging folder in the PhysioNet Database (Schumann & Bar, 2021)

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