Modelling short and long-term exercise effect on glucose levels from wearable devices’ signal patterns

Lead Investigator: Fabricio Garelli, National University of La Plata
Title of Proposal Research: Modelling short and long-term exercise effect on glucose levels from wearable devices’ signal patterns
Vivli Data Request: 8889
Funding Source: Government
Potential Conflicts of Interest: None

Summary of the Proposed Research:

Our research team has developed a state-space model of physical activity (PA) based on the heart rate’s (HR) variability and mean value, which takes into account the short and long-term effect of PA. In order to validate this model, we have conducted an observational study on pediatric patients (Garrahan Pediatrics Hospital in Buenos Aires) performing different types of PA. However, the sample size was small due to limited resources. Therefore, we aim to utilize the T1DEXI study data to conduct the validation of our model in a larger cohort and considering the adult population. To accomplish this, we will use a portion of the structured exercise sessions of ~30 min duration to perform the identification process of the model’s parameters, and then employing the remaining structured sessions and free-living activities to test the model.

Also, we aim to find possible correlations between different physiological signals during exercise and hypoglycemia and hyperglycemia events. To that end, non-linear correlation indices, information coefficients and spectral coherence analysis will be used to explore which changes in the measured signals could explain the variations observed in glucose levels. Likewise, regression models based on machine learning techniques that take into account the dynamics of the signals will be trained and evaluated to determine which information is useful in detecting these events

We expect that these two tasks will aid us to develop a closed-loop glucose control algorithm for people with T1D that is able to handle exercise events with minimal user involvement.

Requested Studies:

Type 1 Diabetes EXercise Initiative: The Effect of Exercise on Glycemic Control in Type 1 Diabetes Study
Data Contributor: Jaeb Center for Health Research Foundation, Inc.
Study ID: T1-DEXI
Sponsor ID: T1-DEXI

Type 1 Diabetes EXercise Initiative Pediatric Study (T1DexiP): The Effect of Exercise on Glycemic Control in Youth with Type 1 Diabetes
Data Contributor: Jaeb Center for Health Research Foundation, Inc.
Study ID: T1-DEXIP
Sponsor ID: T1-DEXIP