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@article{199512,
        author = {Mr.A.Vaithianathan and Sanjay S and Sriram R and Vinoth A},
        title = {Machine Learning Using Wearable AI For Diabetic Hypoglycemia Detection},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {12353-12361},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=199512},
        abstract = {Diabetes mellitus is a chronic metabolic disorder that requires continuous supervision of blood glucose levels to prevent acute and long-term complications. Among these complications, hypoglycaemia defined as a blood glucose level below 70 mg/dL poses a serious health risk. If not identified promptly, it may result in dizziness, confusion, seizures, unconsciousness, or even life-threatening conditions. Conventional glucose monitoring techniques primarily rely on threshold-based alerts and often fail to provide predictive insights. Wearable Artificial Intelligence (AI)based framework for continuous monitoring and early prediction of hypoglycemic episodes. The proposed system integrates (CGM) data with additional physiological parameters such as heart rate, heart rate variability (HRV), skin temperature, electrodermal activity (EDA), and motion signals. Machine learning algorithms, including Random Forest and Support Vector Machine (SVM), are employed to analyze temporal glucose variations and associated physiological responses. Data preprocessing, feature extraction, and model development are implemented using Python-based tools to ensure robustness and reliability. The experimental evaluation demonstrates improved detection accuracy, reduced false alarms, and timely alert generation. The system supports proactive diabetes management and enhances patient safety and quality of life.},
        keywords = {Hypoglycemia Detection, Wearable Devices, Artificial Intelligence, Diabetes Management, Machine Learning, CGM, HRV, EDA.},
        month = {April},
        }