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@article{176054,
        author = {Priyanka  Dhapodkar and Prerna Wankhede and Khushi Bhomble and Swara Uskey and Nikita Thool and Thalisha Godhani},
        title = {Iot Enabled Cardiac Health Monitoring And Emergency Alert System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {4882-4887},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176054},
        abstract = {This IoT-enabled cardiac monitoring system uses a Pulse Sensor and ESP8266 to track heart rate and vital signs, sending real-time data to a React web app for visualization and alerts via buzzer, LED, and Twilio SMS. It supports additional sensors for temperature and oxygen, stores data for analysis, and plans future upgrades like AI-based anomaly detection, wearable integration, and emergency alerts for enhanced remote monitoring. Cardiovascular diseases (CVDs) are a leading cause of mortality worldwide, necessitating continuous health monitoring and timely intervention. This paper presents an IoT-enabled cardiac health monitoring device and emergency alert system, designed to track real-time heart health metrics and provide immediate alerts in case of anomalies. The system integrates wearable sensors, cloud-based data processing, and artificial intelligence to monitor parameters such as heart rate, ECG, and blood pressure. Using wireless connectivity, the collected data is transmitted to a cloud platform for analysis and storage. In case of abnormalities, the system automatically notifies healthcare providers and emergency contacts via SMS, mobile applications, or email. This proactive approach enhances patient safety, reduces response time in emergencies, and enables remote health monitoring, making it particularly beneficial for elderly and high-risk individuals. The proposed solution aims to bridge the gap between real-time health monitoring and timely medical intervention, ultimately improving cardiac health outcomes.},
        keywords = {IoT, Sensors, ESP8266, LED, Cloud fare, Alerting mechanism, BPM, Temperature, Heartrate algorithm.},
        month = {April},
        }