Synthetic Continuous Glucose Monitoring (CGM) Signals
收藏NIAID Data Ecosystem2026-03-12 收录
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https://data.mendeley.com/datasets/chd8hx65r4
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资源简介：
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%.
Reference:
Cichosz SL, Xylander AAP. A Conditional Generative Adversarial Network for Synthesis of Continuous Glucose Monitoring Signals. J Diabetes Sci Technol. 2021 May 30:19322968211014255. doi: 10.1177/19322968211014255. Epub ahead of print. PMID: 34056935
创建时间：
2021-08-20
