Prevalence of type 2 Diabetes in Mexico is high. Early detection and intervention of the condition, particularly in children and adolescents will have a great impact in the wellbeing of individuals and reduce the cost of treatment. CARDIGAN aims to test whether Criticality Analysis (CA) can be applied to gait data to give a reliable and cost-effective way to detect individuals at risk of developing type 2 diabetes.
Gait data and clinical data of overweight children was collected using portable Inertial Measurement Units in a 6-week trial, conducted by Hospital Infantil de Mexico Federico Gomez. Data analysis is now being performed in a semi-blind manner using a novel machine learning approach based on CA.
The results obtained from the CA show visible differences in the gait patterns among the obese participants, and even more pronounced differences are seen compared with the control group. Data from each week will be analysed to track the progression of the participants. All of these results will be cross-referenced with the clinical data obtained.
The use of Criticality Analysis of gait as a means of diabetes assessment is evaluated in order to track the progression of the participants’ condition, and detect if they are at risk of developing type 2 diabetes. This will aid in determining the appropriate course of intervention.
This work was supported by an Institutional Links grant, 432368181. The grant is funded by the UK Department for Business, Energy and Industrial Strategy and delivered by the British Council. For further information, please visit www.newtonfund.ac.uk.