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Dubosson (2018)

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Elizabeth Chun edited this page Jun 13, 2020 · 12 revisions

Link to CGM data

Link to original paper

Link back to table

Study Summary

This study focused on the use of wearable devices in a non clinical setting. There are nine type 1 diabetes patients. A large variety of data other than CGM data was collected for this study, designed for research on correlations between glucose levels and physiological measures such as ECG.

Sample Size Diabetes Type Population Group CGM Device Duration
9 Type 1 Adult (18+) iPro 2 Professional CGM 4 days

Note: Because of a large amount of non-CGM data, this dataset is a very large file (~10 GB) zipped.

Covariate Data

The following data is available at the above link, in addition to the CGM data.

  • Insulin
  • ECG
  • Heart Rate
  • Breathing Rate
  • Accelerometer Data

Pre-processing Scripts

Below are scripts we have written to pre-process the data:

  • [CGM pre-processor](broken link) R script
  • [Insulin pre-processor](broken link) R script
  • [Accelerometer processor](broken link) Python script

Use Agreements

This data set comes with the following license: Attribution ShareAlike 4.0 International license

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