Fig. 5 | Scientific Reports

Fig. 5

From: Automated depression detection via cloud based EEG analysis with transfer learning and synchrosqueezed wavelet transform

Fig. 5

Synchrosqueezed Wavelet Transform (SSWT) time–frequency representations of the EEG signals in Fig. 4: (a,c) normal subjects and (b,d) depressed subjects for Database I and II, respectively. The vertical axis shows frequency components (Hz), and the horizontal axis represents time (s). SSWT enhances the visualization of non-stationary EEG features, where depressive states may exhibit distinct energy distributions across frequency bands.

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