Deep learning approach for automatic assessment of schizophrenia and bipolar disorder in patients using R-R intervals
Fig 3
The distributions of five folds designed for the cross-validation classification experiments with 60-element time rolling windows (a–e).
Each fold contains six patients and six persons from the control group, and when merged, they form the whole dataset. In consecutive iterations, samples (sequences of R-R interval lengths) from four folds form a training and a validation set, while the remaining fold constitutes a test set. (f) Comparison of median R-R interval values with corresponding standard deviations across the two experiment groups and five data folds.