Resources

4 results for "continuous glucose monitoring"

Database Open Access

CGMacros: a scientific dataset for personalized nutrition and diet monitoring

Ricardo Gutierrez-Osuna, David Kerr, Bobak Mortazavi, et al.

We present CGMacros, a dataset containing multimodal information from two continuous glucose monitors (CGM), food macronutrients, food photographs, and physical activity, in addition to anonymized participant demographics, anthropometric measurement…
continuous glucose monitors obesity postprandial glucose response food macronutrients metabolic models food photographs personalized nutrition diabetes machine learning
Published: Jan. 28, 2025. Version: 1.0.0
Database Open Access

BIG IDEAs Lab Glycemic Variability and Wearable Device Data

Peter Cho, Juseong Kim, Brinnae Bent, et al.

This study aimed to determine the feasibility and effectiveness of wearable devices in detecting early physiological changes prior to the development of prediabetes [1-3]. The study generated digital biomarkers for remote, mHealth-based prediabetes …
biomedical engineering pre-diabetes biomarkers
Published: April 13, 2026. Version: 1.1.3
Database Open Access

Brno University of Technology Continuous Glycaemia, ECG, Activity and Food Intake Database (BUT CGM)

Lucie Šaclová, Andrea Nemcova, Tobiáš Goldschmidt, et al.

The Brno University of Technology Continuous Glycaemia, ECG, Activity and Food Intake Database (BUT CGM) is a multimodal dataset collected in free-living conditions from a healthy predominantly physically active population. The resource was created …
sleep health heart rate variability steps accelerometry multimodal dataset electrocardiogram continuous glucose monitoring signal processing graded exercise test sports cardiopulmonary test athletes food intake fitness training zones glycaemia long-term measurement free-living data biosignals
Published: Nov. 2, 2026. Version: 1.0.0
Database Restricted Access

mcPHASES: A Dataset of Physiological, Hormonal, and Self-reported Events and Symptoms for Menstrual Health Tracking with Wearables

Blue Lin, Jin Yi Li, Kaavya Kalani, et al.

Individuals who menstruate are frequently led to believe that there is a standard menstrual cycle, typically characterized as 28 days in length with predictable and uniform patterns. This framing often emphasizes cycle dates as the only relevant met…
wearables hormones menstrual health multimodal health health sensor data womens health
Published: Sept. 9, 2025. Version: 1.0.0