The Combined CGM Tracing refers to a consolidated dataset of continuous glucose monitoring (CGM) data, collected from multiple participants in a research study. CGM devices track glucose levels at regular intervals throughout the day, providing detailed insights into the participants' glycemic control over time.

In a research study, this combined dataset is crucial for analyzing glucose trends across different participants and understanding overall patterns in response to interventions or treatments. The Combined CGM Tracing dataset typically includes:

• Participant ID: A unique identifier for each participant, ensuring the data is de-identified while allowing for tracking individual responses.
• Date_Time: The timestamp for each CGM reading, formatted uniformly to allow accurate time-based analysis.(YYYY-MM-DD HH:MM:SS)
• CGM_Value: The recorded glucose level at each time point, often converted to a standard unit (e.g., mg/dL or mmol/L) and stored as a real number for precise calculations.

This combined view enables researchers to perform comparative analyses, evaluate glycemic variability, and assess overall glycemic control across participants, which is essential for understanding the efficacy of treatments or interventions in the study. By aggregating data from multiple sources, researchers can identify population-level trends while maintaining the integrity of individual data.

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