Synthetic Continuous Glucose Monitoring (CGM) Signals

Synthetic Continuous Glucose Monitoring (CGM) Signals

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 ca...

Ausführliche Beschreibung

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Bibliographische Detailangaben
1. Verfasser: Cichosz, Simon
Format: Dataset
Sprache:eng
Schlagworte:
Blood Glucose Monitoring
Diabetes Mellitus
Glucose
Glucose Metabolism
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Beschreibung
Zusammenfassung: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
DOI:10.17632/chd8hx65r4.1