The Design and Construction of a 12-Channel Electrocardiogram Device Developed on an ADS1293 Chip Platform

Author:

Nguyen Thanh-Nghia1ORCID,Duong Thanh-Tai2ORCID,Omer Hiba3ORCID,Sulieman Abdelmoneim4,Bradley David A.56

Affiliation:

1. Faculty of Electrical-Electronic Engineering, Ho Chi Minh City University of Technology and Education, Ho Chi Minh City 700000, Vietnam

2. Department of Medical Physics, Faculty of Medicine, Nguyen Tat Thanh University, 298-300A Nguyen Tat Thanh Street, Ward 13, District 4, Ho Chi Minh City 700000, Vietnam

3. Department of Basic Sciences, Deanship of Preparatory Year and Supporting Studies, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 34212, Saudi Arabia

4. Department of Radiology and Medical Imaging Sciences, College of Applied Medical Sciences, Prince Sattam Bin Abdulaziz University, P.O. Box 422, Alkharj 11942, Saudi Arabia

5. Centre for Applied Physics and Radiation Technologies, Sunway University, Petaling Jaya 46150, Malaysia

6. School of Mathematics and Physics, University of Surrey, Guildford GU2 7XH, UK

Abstract

An accurate and compact electrocardiogram (ECG) device will greatly assist doctors in diagnosing heart diseases. It will also help to address the increasing number of deaths caused by heart disease. Accordingly, the goal of the project is to design and construct an easy-to-use compact 12-lead electrocardiogram device that communicates with a computer to create a system that can continuously monitor heart rate and which can be connected to allied medical systems. The design is based on an ECG receiver circuit utilizing an IC ADS1293 and an Arduino Nano. The ADS1293 has built-in input Electromagnetic Interference (EMI) filters, quantizers, and digital filters, which help in reducing the size of the device. The software has been created using the C# programming language, with Windows Presentation Foundation (WPF), aiding the collection of the ECG signals from the receiving circuit via the computer port. An ECG Multiparameter Simulator has been used to calibrate the ECG device. Finally, a plan has been developed to connect the arrangement to health systems according to HL7 FHIR (Health Level Seven Fast Healthcare Interoperability Resources) through Representational State Transfer Application Programming Interface (Rest API). The ECG device, completed at the cost of U$169 excluding labor, allows for the signal of 12 leads of ECG signal to be obtained from 10 electrodes mounted on the body. The processed ECG data was written to a JSON file with a maximum recording time of up to three days, managed by a Structured Query Language Server (SQL) Server database. The software retrieves patient data from electrical medical records in accordance with HL7 FHIR standards. A compact and easy-to-use ECG device was successfully designed to record ECG signals. An in-house developed software was also completed to display and store the ECG signals.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Reference18 articles.

1. Epidemiological Features of Cardiovascular Disease in Asia;Zhao;JACC Asia,2021

2. WHO (2017). Cardiovascular Diseases, World Health Organization.

3. Pino, C., and Costanzo, A. (2014). Arduino based system for indoor and outdoor ECG monitoring: Functions and extended user model ontology. Proc. Int. Conf. Physiol. Comput. Syst., 331–335.

4. Heaney, J., Buick, J., Hadi, M.U., and Soin, N. (2022). Internet of Things-Based ECG and Vitals Healthcare Monitoring System. Micromachines, 13.

5. Bui, N.T., Vo, T.H., Kim, B.-G., and Oh, J. (2019). Design of a Solar-Powered Portable ECG Device with Optimal Power Consumption and High Accuracy Measurement. Appl. Sci., 9.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Web-Agile Facial Emotion Recognition and Eye-Tracking System (WAFER-ET);2023 IEEE 13th International Conference on Consumer Electronics - Berlin (ICCE-Berlin);2023-09-03

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3