Based on a trained Conditional Generative Adversarial Network (CGAN), the dataset contains 40,000 CGM days with a sampling frequency 288/day, equivalent to 940,000 hours of synthetic CGM. The dataset contains both signal resembling people with type 1 diabetes and healthy individuals. Profiles are categorized into four groups resembling different HbA1c levels: (1) below 6.5% (healthy without diabetes), (2) between 6.5% to <7%, (3) between 7% to <8% and (4) above 8%.
Date made availableApr 2021
PublisherMendeley Data
Date of data production2021

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