There are around 422 million adults with diabetes and 3.7 million worldwide deaths that are related to hyperglycemia. The objective of this research work is obtaining a mathematical model that can integrate into a non-invasive device for glucose measurement. In this study, the glucose measurement technique is exposed using a Galvanic Skin Response (GSR) sensor that is used for a non-invasive method. This research involves an experimental quantitative methodology of glucose samples. When comparing with the invasive method, a polynomial linear model with second-degree adjustment was obtained which provides an improvement in the percentage of error. Furthermore, glucose measurement with the GSR sensor coupled with the linear model proved favorable for integration into the prototype. In the future, the model will be incorporated into the prototype to guarantee the effectiveness of the glucose measurement by a non-invasive method with electrodermal activity and a machine learning algorithm will be developed to prevent high glucose levels with food and exercise preferences.

Diabetes, Electrodermal, Galvanic, Non-invasive