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@article{196244,
        author = {JALASHREE K M and MOULISHA K and MRS. K MAKANYADEVI},
        title = {Early Detection of Dehydration and Electrolyte Imbalance},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {2828-2834},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196244},
        abstract = {Dehydration and electrolyte imbalance are often overlooked conditions that can severely impact human performance and health, especially among athletes, labourers, and patients under continuous medication. Traditional diagnostic methods rely on invasive blood tests or bulky sweat sensors, while modern wearables typically focus on heart rate or oxygen monitoring without attention to hydration levels. This work introduces a non-invasive, hybrid system that integrates blink-rate analysis with electrolyte-sensing wearables and machine-learning-based prediction models to detect dehydration and electrolyte imbalance in real-time. The proposed system bridges the gap between physiological behaviour (blink frequency and eye dryness) and biochemical data (sodium, potassium, chloride concentration). Using image-based blink detection through an IR-camera module and flexible microfluidic sensors for sweat analysis, the system extracts multimodal data processed using Random Forest and Support Vector Machine (SVM) algorithms. The classification achieves over 92% accuracy in hydration-status detection. This study emphasizes compact, wearable, and intelligent health-monitoring solutions that can complement or replace hospital-based assessments. The project demonstrates how computer vision and bio-sensor fusion can transform preventive healthcare and fitness monitoring by providing continuous, real-time, and user-friendly dehydration tracking.},
        keywords = {Dehydration detection, electrolyte imbalance, wearable sensors, blink monitoring, machine learning, computer vision, sweat analysis.},
        month = {April},
        }