Cardioguard: A Real-time Health Monitoring And Emergency Alert System Using Websocket And Persistence-based Anomaly Detection

• Author(s):

  Suraj Ghogare | Prof. Shreyas S. Shinde | Dr. Shubhangi R. Patil | Ibrahim Kapadwanchwala | Abhishek Kolekar | Sashwat Tare

• Keywords:

  Real-Time Health Monitoring, WebSocket, Persistence-Based Anomaly Detection, Heart Rate, SpO2, Emer-gency Alert, Geolocation, Haversine Formula, Node.js, React.js, Firebase Cloud Messaging

• Abstract:

  The Increasing Prevalence Of Cardiovascular And Respiratory Conditions Demands Continuous, Reliable, And Intel-ligent Health Monitoring Systems Capable Of Operating Beyond Clinical Settings. Existing Threshold-based Monitoring Systems Suffer From A High Rate Of False Alarms Triggered By Single Anoma-lous Readings, Significantly Undermining Trust And Operational Reliability. This Paper Presents CardioGuard, A Real-time Health Monitoring And Emergency Alert System That Continuously Tracks Vital Physiological Parameters — Heart Rate (HR) And Blood Oxygen Saturation (SpO2) — And Applies A Persistence-based Anomaly Detection Mechanism To Validate Abnormal Conditions Across Multiple Consecutive Readings Before Generating Alerts. The System Leverages WebSocket Communication (Socket.IO) For Low-latency, Bidirectional Data Transmission Between A React.js Frontend Simulator And A Node.js Backend. Upon Confirming A Critical Condition, The System Dynamically Classifies Alert Severity, Identifies The Geographically Nearest Hospital Using The Haversine Formula, And Asynchronously Dispatches Notifications Via Email And Push Notification Services. A Selective Data Storage Strategy Persists Only Significant Alert Events To A MySQL Database, Ensuring Efficient Storage And Scalability. Experimental Evalu-ation Demonstrates Accurate Alert Generation With A Significantly Reduced False Positive Rate, Real-time Processing With Minimal End-to-end Latency, And Reliable Emergency Response, Making CardioGuard A Practical And Scalable Solution For Remote Patient Monitoring.

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Other Details

• Paper id:

  IJSARTV12I6105603

• Published in:

  Volume: 12 Issue: 6 June 2026

• Publication Date:

  2026-06-04

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