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@article{163956,
        author = {Moksh Sanghvi},
        title = {Patient Monitoring and Care System},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {12},
        pages = {2464-2468},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=163956},
        abstract = {Patient Monitoring and Care System This study presents a complete Patient Monitoring System (PMS) that integrates cutting-edge technology to improve healthcare administration. The three key elements of the suggested system are an automatic pill dispenser, saline level monitoring, and facial recognition—all of which function flawlessly with OpenCV.
Real-time facial data and patient activities are captured and analysed by the Facial Recognition module either and ftdi module which makes use of OpenCV's computer vision capabilities. Medical practitioners analyse psychological well-being and potential distress by continuously monitoring a patient's movements. 
Saline Level Monitoring system uses sensor technology to make sure that saline levels are measured and recorded precisely. Healthcare practitioners maintain optimal levels of hydration and rapidly address any deviations from the norm.
Automatic Pill Dispenser provides an effective and automated medication management solution. The pill dispenser may administer pills at predefined intervals by integrating OpenCV.
These three elements come together to form a single Patient Monitoring System, which offers a comprehensive method of managing healthcare. The technology gathers real-time data, which helps healthcare providers make prompt decisions that enhance patient outcomes and overall healthcare efficiency.
},
        keywords = {Patient Monitoring, Healthcare, Patient Management, Saline Monitoring, Automatic Pill Dispenser},
        month = {},
        }