IoT Based Advanced Cardiac Arrest Detection System

Internet of Things (IoT) based Advanced cardiac Arrest Detection system have an expansive potential of becoming an integral part of the future medical system. In particular, these systems can play life-saving roles for monitoring of patients with critical health issues. Any health care monitoring system must be free from incorrect data, which may arise because of instrument failure or communication errors. In this project, to detect reliability and accuracy of data obtained by the IoT-based remote health monitoring. This project makes a use of MAX30100 (heartbeat & oxygen), ESP8266 Wi-Fi module and Arduino nano. The main controlling device of the project is Arduino nano microcontroller. Arduino will continuously read the heartbeat and spo2 value through MAX30100 sensor and will be sent to the blynk mobile application through esp8266 Wi-Fi module. User can access this device using smart mobile from anywhere in the world. To achieve this task microcontroller loaded program written in embedded C language.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2024-09-23
DOI
https://doi.org/10.22214/ijraset.2024.64295
Primary Topic
ECG Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
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article

IoT Based Advanced Cardiac Arrest Detection System

C. Shruthi
International Journal for Research in Applied Science and Engineering Technology
ECG Monitoring and Analysis
article

IoT Based Advanced Cardiac Arrest Detection System

C. Shruthi
article en

Abstract

Internet of Things (IoT) based Advanced cardiac Arrest Detection system have an expansive potential of becoming an integral part of the future medical system. In particular, these systems can play life-saving roles for monitoring of patients with critical health issues. Any health care monitoring system must be free from incorrect data, which may arise because of instrument failure or communication errors. In this project, to detect reliability and accuracy of data obtained by the IoT-based remote health monitoring. This project makes a use of MAX30100 (heartbeat & oxygen), ESP8266 Wi-Fi module and Arduino nano. The main controlling device of the project is Arduino nano microcontroller. Arduino will continuously read the heartbeat and spo2 value through MAX30100 sensor and will be sent to the blynk mobile application through esp8266 Wi-Fi module. User can access this device using smart mobile from anywhere in the world. To achieve this task microcontroller loaded program written in embedded C language.

International Journal for Research in Applied Science and Engineering TechnologyVol. 12(9)
Openalex Percentile: Top 71%
ECG Monitoring and Analysis
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IoT Based Advanced Cardiac Arrest Detection System — C. Shruthi · International Journal for Research in Applied Science and Engineering Technology (2024) | TGRS Research Map | TGRS