Non-Invasive Blood Glucose Range Estimator

Course:

BME12. Medical robotics, cyber physical engineering and virtual reality.

Supervisors:

Ioannis Papaefstathiou

Contributors:

Mohammed Lubbad Christos Karapapas

Dataset

The training of the machine learning models in this project was able thanks to data provided in the
"BIG IDEAs Lab Glycemic Variability and Wearable Device Data" dataset, which you can be found here.

Backlog

1. Create Binarization, Normalization and PCA Cpp functions to process the new data readings before applying model prediction.