IOT ENABLED CARDIAC HEALTH MONITORING AND EMERGENCY ALERT SYSTEM

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.

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-04-22
DOI
https://doi.org/10.55041/ijsrem45038
Citations
1
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.67
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article

IOT ENABLED CARDIAC HEALTH MONITORING AND EMERGENCY ALERT SYSTEM

Priyanka Dhapodkar
1 citations
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Non-Invasive Vital Sign Monitoring
0.67
article

IOT ENABLED CARDIAC HEALTH MONITORING AND EMERGENCY ALERT SYSTEM

Priyanka Dhapodkar
article en
1 citations

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.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(04)
Openalex Percentile: Top 33%
Non-Invasive Vital Sign Monitoring
0.67
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