Development of a Home-based Fetal Electrocardiogram (ECG) Monitoring System

Author(s):  
Sadaf Sarafan ◽  
Tai Le ◽  
Floranne Ellington ◽  
Zhijie Zhang ◽  
Michael P. H. Lau ◽  
...  
Author(s):  
Kristine Joyce P. Ortiz ◽  
John Peter O. Davalos ◽  
Elora S. Eusebio ◽  
Dominic M. Tucay

Internet of Things (IoT) has many applications in the medical field. With remote-information gathering, healthcare professionals can evaluate, diagnose and treat patients in remote locations using telecommunications technology. This study aimed to develop a small-scale electrocardiogram (ECG) monitoring device that will measure heart rates and waveforms and send the data in a database and a web server. An ECG acquisition device was developed using a single-lead heart rate monitor sensor and an Arduino microcontroller. A program, which will process, analyze and upload the ECG data is coded using MATLAB and C# programs. The collected information is viewed in a Graphical User Interface (GUI) display, coded using C# and in a webpage. Rapid Application Technology (RAD) was used in the methodology, which began with a quick design of the system. The hardware and software systems underwent a prototyping cycle for development. Once finished, the integration of the system is conducted to construct a complete IoT-based ECG monitoring system. For testing using t-test, a sample size of 18 and a a= 0.05 is used. Testing resulted into t-test values that lie in the non-critical zone for all ECG parameters, denoting that there is no significant difference between the gathered data. The device’s percent reliability in detecting ECG conditions such as normal sinus rhythm, sinus tachycardia, sinus bradycardia and flatline, is 83.33%. The percent difference for the heart rate is 0.35 %, which falls within the acceptable medical standard of 99% accuracy. The device was deemed functional and reliable.


Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 446 ◽  
Author(s):  
Li Yuan ◽  
Yanchao Yuan ◽  
Zhuhuang Zhou ◽  
Yanping Bai ◽  
Shuicai Wu

In this paper, a fetal electrocardiogram (ECG) monitoring system based on the Android smartphone was proposed. We designed a portable low-power fetal ECG collector, which collected maternal abdominal ECG signals in real time. The ECG data were sent to a smartphone client via Bluetooth. Smartphone app software was developed based on the Android system. The app integrated the fast fixed-point algorithm for independent component analysis (FastICA) and the sample entropy algorithm, for the sake of real-time extraction of fetal ECG signals from the maternal abdominal ECG signals. The fetal heart rate was computed using the extracted fetal ECG signals. Experimental results showed that the FastICA algorithm can extract a clear fetal ECG, and the sample entropy can correctly determine the channel where the fetal ECG is located. The proposed fetal ECG monitoring system may be feasible for non-invasive, real-time monitoring of fetal ECGs.


Author(s):  
Jia Hua-Ping ◽  
Zhao Jun-Long ◽  
Liu Jun

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.


Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 651
Author(s):  
Florent Baty

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


2016 ◽  
Vol 40 (12) ◽  
Author(s):  
Zhe Yang ◽  
Qihao Zhou ◽  
Lei Lei ◽  
Kan Zheng ◽  
Wei Xiang

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