IoT-enabled cloud-based real-time remote ECG monitoring system

Area of Science:

• Biomedical Engineering
• Health Informatics
• Internet of Things (IoT)

Background:

• Cardiovascular diseases (CVDs) are a leading cause of mortality globally.
• Electrocardiogram (ECG) is a crucial diagnostic tool for CVDs.
• Current monitoring methods may lack real-time remote capabilities.

Purpose of the Study:

• To develop an efficient, IoT-enabled, cloud-based system for real-time remote ECG monitoring.
• To enable early detection and management of cardiovascular conditions.
• To improve accessibility to continuous cardiac health surveillance.

Main Methods:

• Utilized an Internet of Things (IoT) architecture with cloud computing (Amazon Web Services - AWS).
• Implemented Bluetooth Low Energy (BLE 4.0) for low-power data transmission.
• Employed filtering algorithms for noise reduction and signal artifact removal.
• Integrated HTTP and MQTT servers for data visualization and device connectivity.

Main Results:

• Successfully transmitted ECG data to an AWS S3 bucket via a mobile gateway.
• Enabled real-time data visualization and analysis on the cloud.
• Accurately detected key ECG parameters including heartbeat, PQRST waves, QRS complex intervals, and respiration rate.
• Validated a prototype system for reliable remote ECG monitoring.

Conclusions:

• The proposed cloud-centric IoT system offers a viable solution for remote, real-time ECG monitoring.
• The system effectively processes ECG signals, providing valuable diagnostic information.
• This technology has the potential to enhance cardiovascular disease management through continuous remote surveillance.