Fig 6.

Figure depicting experimental setups for model performance evaluation: a) Device-Specific: Separate models trained and validated for each BP device using a cross-validation approach. b) Device-Specific with Transfer Learning: Utilizing a pre-trained model on Dataset 1 (dark red) during the cross-validation process, followed by fine-tuning on Dataset 2 (blue) for evaluation on Dataset 2. c) Device-Independent: Employing cross-validation with data concatenation from both datasets in the training subset.