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2,920 ambulatory blood pressure monitoring (ABPM) records from 2,876 patients at the First Affiliated Hospital of Wannan Medical College, collected between December 2020 and March 2023. The dataset includes time-stamped systolic and diastolic blood pressure, heart rate, activity status, and posture readings, with binary labels for nocturnal systolic and diastolic hypertension. It was used to compare an ABPM-VAE model against a Fully Connected Neural Network (FCNN) for prediction tasks.
Files include Python (.PY), text (.TXT), archive (.RAR), PyTorch model (.PTH), and CSV formats; ensure appropriate tools are available.