Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{207610,
        author = {Harmain Fathima Khan and Swati Rathore and Dhanush D and Bi Bi Safura and Deepika},
        title = {IoT-Based Smart Monitoring System for Comatose Patients.},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {3},
        pages = {1634-1643},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=207610},
        abstract = {This literature survey presents an IoT-based smart monitoring system for comatose patients designed to provide continuous healthcare monitoring and reduce manual supervision in hospitals and home-care environments. The proposed system uses biomedical sensors such as heartbeat sensors, temperature sensors, pulse oximeter sensors, eye blink sensors, and MEMS sensors to monitor vital physiological parameters in real time. Microcontrollers including Arduino Uno, ESP32, Raspberry Pi, and NodeMCU ESP8266 are used for signal processing and wireless data transmission through Wi-Fi, GSM, and cloud platforms such as ThingSpeak and Blynk IoT. Several reviewed systems additionally integrate machine learning and deep learning techniques for predictive healthcare analysis and automatic emergency alert generation. The surveyed healthcare monitoring systems improve patient safety, support remote healthcare access, reduce hospital workload, and provide faster medical response during critical situations.},
        keywords = {IoT, Comatose Patients, Healthcare Monitoring, Biomedical Sensors, Cloud Computing, ESP32, NodeMCU, Real-Time Monitoring, Emergency Alerts.},
        month = {August},
        }