Low-Cost IoT-Enabled Tele-ECG Monitoring for Resource-Constrained Settings: System Design and Prototype
Seemron Neupane, Aashish Ghimire
TL;DR
This paper presents a low‑cost IoT‑enabled remote ECG monitoring system designed for resource‑constrained settings. It combines an AD8232 ECG front‑end with an ESP32 for wireless sampling, a Django backend for storage and API services, and a Flutter mobile app for real‑time waveform visualization, forming an end‑to‑end pipeline from acquisition to clinician access. The architecture is modular, enabling future alerts and machine‑learning analytics while prioritizing portability and affordability. By reducing the need for frequent hospital visits, the system supports telemedicine and remote follow‑up, addressing gaps in cardiovascular care in developing regions.
Abstract
With the availability of automation machinery and its superiority, are being slothful and inviting many diseases to invade them. The world still has so many places where people lack basic health facilities. Due to early detection and intervention, CDV can be cured to an extreme extent. It heavily reduces travel and associated costs. A remote ECG monitoring system enables community health workers to support and empower patients through telemedicine. However, there remains some financial and logistical burden. Heart disease cannot be taken lightly. These patients require regular health check-ups and the attention of health personnel in a short period if their health deteriorates suddenly and rapidly. Chronic diseases are extremely variable in their symptoms and evolution of treatment. Some, if not treated early, will end the patient's life. The trend of the INTERNET OF THINGS, IoT, is spreading massively. This paper focuses on the three main: the operator, the doctor, and the server over which the data is being sent.