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![Validation of deep learning models for cuffless blood pressure estimation on a large benchmarking dataset](https://image.oaes.cc/3fb187bb-f315-4a12-b5f0-4ae3d441c7b1/chatmed3023.fig.1.jpg)
Figure 1. (A-C) Distributions of SBP, DBP, and MBP; (D-F) distributions of the subject age, and intra-subject max-min variations of SBP and DBP; The y-axis of (A-C) represents the number of 10-second signal segments, while the y-axis of (D-F) indicates the number of subjects across the entire dataset.