SPINDLE: End-to-end learning from EEG/EMG to extrapolate animal sleep scoring across experimental settings, labs and species
Fig 5
Qualitative analysis of SPINDLE.
150 epochs were extracted from an animal from the cohort C, where we found the automated classification to be more challenging, to qualitatively compare the predictions of SPINDLE to the scorings of two experts from different labs. The first three signals from top represent the input, two EEG and an EMG. The spectrogram in the middle is a time-frequency representation of one of the EEG signals. The bottom three plots are the hypnograms, the first one derived from the scorings of one human expert, the second one derived from the predictions of SPINDLE and the third one derived from the scorings of the other human expert.