Blood Glucose Prediction Using a Lightweight Sequential Transformer with Heart Rate Integration

Diabetes mellitus remains one of the most prevalent chronic conditions worldwide, demanding continuous and accurate monitoring of blood glucose levels to prevent life-threatening complications such as hypoglycemia and hyperglycemia. Traditional glucose prediction systems rely solely on historical glucose readings, overlooking the physiological relationship between cardiovascular activity and glycemic fluctuations. In this work, a lightweight Sequential Transformer model is proposed that integrat