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@article{186135,
        author = {Niraja Anil Birhade and Prof. A.S. Bhide},
        title = {IoT- Based Healthcare Monitoring Systems for Elderly and Paralyzed Patients Using Raspberry Pi Pico W},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {74-79},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186135},
        abstract = {This research outlines the development of a low- cost, IoT-enabled health monitoring system specifically tailored for elderly and immobile patients who require continuous supervision within a home setting. The system employs the Raspberry Pi Pico Was the core controller, interfacing with key biomedical sensors: the LM35 for accurate temperature tracking, the MPU6050 for detecting movement and orientation, and a pulse sensor to monitor heart rate. Sensor data is wirelessly transmitted via the ESP8266-01 Wi- Fi module to the ThingSpeak cloud platform, enabling remote, real-time visualization of patient vitals. This setup allows healthcare professionals and family members to monitor patients from any location using an internet- connected device. The prototype showcases the potential of integrating open-source hardware with IoT infrastructure to create scalable, remote health solutions. The system reduces dependency on in-person hospital visits while enhancing patient safety through immediate access to health data. With potential for further enhancements such as additional sensors and predictive analytics, the proposed design lays the groundwork for future smart healthcare systems.
Note: This work modernizes earlier Arduino-Based designed by upgrading to the Raspberry Pi Pico W Microcontroller offering higher processing speed, built-in Wi-Fi, and improve energy efficiency for continuous monitoring.},
        keywords = {IoT Health Monitoring, Raspberry Pi Pico W, ESP8266-01, LM35 Temperature Sensor, MPU6050 Module, Heartbeat Sensor, ThingSpeak Cloud, Remote Patient Care, Elderly Monitoring.},
        month = {October},
        }