Remote ECG Monitoring System Using IoT and Machine Learning

2022 ◽  
pp. 249-257
Author(s):  
Bhavya Sekhani ◽  
Dishay Shah ◽  
Vishaka Kelkar
Keyword(s):  
Machine Learning ◽  
Monitoring System ◽  
Ecg Monitoring

scholarly journals A general framework for improving electrocardiography monitoring system with machine learning

2019 ◽  
Vol 8 (1) ◽  
pp. 261-268
Author(s):  
A. M. Khairuddin ◽  
Ku Azir K. N. F. ◽  
P. Eh Kan
Keyword(s):  
Machine Learning ◽  
Monitoring System ◽  
General Framework ◽  
New Technology ◽  
Monitoring Systems ◽  
Accurate Information ◽  
Ecg Monitoring ◽  
Important Health ◽  
Health Monitoring Systems ◽  
Structure And Functions

As one of the most important health monitoring systems, electrocardiography (ECG) is used to obtain information about the structure and functions of the human heart for detecting and preventing cardiovascular disease. Given its important role, it is vital that the ECG monitoring system provides relevant and accurate information about the heart. Over the years, numerous attempts were made to design and develop more effective ECG monitoring system. Nonetheless, the literature reveals not only several limitations in conventional ECG monitoring system but also emphasizes on the need to adopt new technology such as machine learning to improve the monitoring system as well as its medical applications. This paper reviews previous works on machine learning to explain its key features, capabilities as well as presents a general framework for improving ECG monitoring system.

Design of Portable Electrocardiograph Monitoring System

2020 ◽  
Author(s):  
Jia Hua-Ping ◽  
Zhao Jun-Long ◽  
Liu Jun
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Data Storage ◽  
P Wave ◽  
Ecg Monitoring ◽  
The Public ◽  
Ecg Signals ◽  
Early Warning Mechanism ◽  
Timely Treatment ◽  
Ecg Data

Cardiovascular disease is one of the major diseases that threaten the human health. But the existing electrocardiograph (ECG) monitoring system has many limitations in practical application. In order to monitor ECG in real time, a portable ECG monitoring system based on the Android platform is developed to meet the needs of the public. The system uses BMD101 ECG chip to collect and process ECG signals in the Android system, where data storage and waveform display of ECG data can be realized. The Bluetooth HC-07 module is used for ECG data transmission. The abnormal ECG can be judged by P wave, QRS bandwidth, and RR interval. If abnormal ECG is found, an early warning mechanism will be activated to locate the user’s location in real time and send preset short messages, so that the user can get timely treatment, avoiding dangerous occurrence. The monitoring system is convenient and portable, which brings great convenie to the life of ordinary cardiovascular users.

scholarly journals Special Issue: ECG Monitoring System

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 651
Author(s):  
Florent Baty
Keyword(s):  
Monitoring System ◽  
Ecg Monitoring ◽  
Special Issue ◽  
Short Overview

This editorial of the Special Issue “ECG Monitoring System” provides a short overview of the 13 contributed articles published in this issue [...]

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