Key result
The proposed IoT-based healthcare system successfully transmitted and visualized real-time ECG signals remotely using the Blynk application on a smartphone.
Why the study?
Traditional ECG monitoring is costly and primarily available only in hospitals, limiting continuous cardiac monitoring for remote patients.
The study presents the design of a low-cost, real-time IoT-based ECG monitoring system for remote patient monitoring.
Answers are grounded in this paper and cite their sources.
Supports remote ECG monitoring feasibility; leaves open clinical validation before practice integration.
Nowadays, heart diseases are considered to be the primary reasons for unexpected deaths. Thus, various medical devices have been developed by engineers to diagnose and scrutinize various diseases. Healthcare has become one of the most substantial issues for both individuals and government due to brisk growth in human population and medical expenditure. Many patients suffer from heart problems causing some critical threats to their life, therefore they need continuous monitoring by a traditional monitoring system such as Electrocardiographic (ECG) which is the most important technique used in measuring the electrical activity of the heart, this technique is available only in the hospital which is very costly and far for remote patients. The development of wireless technologies enables to build a network of connected devices via the internet. The proposed ECG monitoring system consists of AD8382 ECG sensor to read patient's data, Arduino Uno, ESP8266 Wi-Fi module, and IoT Blynk application. The implementation of the proposed ECG healthcare system enables the doctor to monitor the patient's remotely using IoT Blynk application installed on his smartphone for processing and visualizing the patient's ECG signal. The monitoring process can be done at any time and anywhere without the need for the hospital.
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Hasan et al. (2020) studied Heart diseases. IoT-based ECG monitoring system (AD8232, Arduino Uno, ESP8266, Blynk) was evaluated on Real-time ECG signal transmission and visualization. The proposed IoT-based healthcare system successfully transmitted and visualized real-time ECG signals remotely using the Blynk application on a smartphone.
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