Table of Contents
Continuous Glucose Monitoring (CGM) data analysis can sometimes present challenges due to data inconsistencies, device errors, or software issues. This guide provides a step-by-step approach to identify and resolve common problems encountered during CGM data analysis.
1. Verify Data Completeness
Ensure that the CGM device has recorded data for the expected time period. Missing data segments can affect analysis accuracy. Check device logs or export files for gaps or irregularities.
2. Check Data Accuracy
Compare CGM readings with manual blood glucose measurements if available. Significant discrepancies may indicate sensor calibration issues or device malfunctions.
3. Address Data Artifacts
Data artifacts such as sudden spikes or drops can distort analysis. Use filtering tools or software features to smooth data and remove anomalies.
4. Resolve Device Errors
If device error messages appear, consult the device manual or manufacturer support. Common issues include sensor calibration errors or connectivity problems.
5. Utilize Support Resources
- Manufacturer troubleshooting guides
- Online user forums
- Technical support contacts
- Software update notifications