Performance of A Wireless Electrocardiogram System based on Wi-Fi and BLE Technology

N. H. Khan, S. Joy, F. K. Che Harun, W. Chan, N. A. Abdul-Kadir, K. K. Moey
{"title":"Performance of A Wireless Electrocardiogram System based on Wi-Fi and BLE Technology","authors":"N. H. Khan, S. Joy, F. K. Che Harun, W. Chan, N. A. Abdul-Kadir, K. K. Moey","doi":"10.1109/IECBES54088.2022.10079693","DOIUrl":null,"url":null,"abstract":"Wearable electrocardiogram (ECG) systems have increasingly been used in everyday life, breaking down the barriers that formerly existed only within hospitals. They allow for non-invasive continuous monitoring of a variety of heart parameters. The aim of this work is to investigate and assess the development of a user-friendly, mobile, and compact wearable ECG system for instantaneous recording. The work also presented the design of the ECG system with Autodesk EAGLE and Fusion 360 that has wireless connectivity via Bluetooth and Wi-Fi. The functionality of this ECG system is aided by the BMD101 cardio chip device, which is composed of an amplifier, filter, and 16-bit analog to digital converter. The results indicated the regular cardiac rhythm of 60 beats per minute (bpm), 120 bpm, and 180 bpm, respectively, along with the abnormal heart condition of ventricular tachycardia. Eventually, this study concluded with a list of key remaining obstacles as well as potential for development in terms of result display and system software, both of which are vital for continued advancement.","PeriodicalId":146681,"journal":{"name":"2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECBES54088.2022.10079693","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Wearable electrocardiogram (ECG) systems have increasingly been used in everyday life, breaking down the barriers that formerly existed only within hospitals. They allow for non-invasive continuous monitoring of a variety of heart parameters. The aim of this work is to investigate and assess the development of a user-friendly, mobile, and compact wearable ECG system for instantaneous recording. The work also presented the design of the ECG system with Autodesk EAGLE and Fusion 360 that has wireless connectivity via Bluetooth and Wi-Fi. The functionality of this ECG system is aided by the BMD101 cardio chip device, which is composed of an amplifier, filter, and 16-bit analog to digital converter. The results indicated the regular cardiac rhythm of 60 beats per minute (bpm), 120 bpm, and 180 bpm, respectively, along with the abnormal heart condition of ventricular tachycardia. Eventually, this study concluded with a list of key remaining obstacles as well as potential for development in terms of result display and system software, both of which are vital for continued advancement.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于Wi-Fi和BLE技术的无线心电图系统性能研究
可穿戴式心电图(ECG)系统已越来越多地用于日常生活,打破了以前仅存在于医院的障碍。它们允许对各种心脏参数进行无创连续监测。这项工作的目的是调查和评估一种用户友好的、移动的、紧凑的可穿戴心电图系统的发展,用于即时记录。该工作还介绍了使用欧特克EAGLE和Fusion 360的ECG系统的设计,该系统通过蓝牙和Wi-Fi实现无线连接。该心电系统的功能由BMD101心脏芯片器件辅助,该器件由放大器、滤波器和16位模数转换器组成。结果显示正常心律分别为60次/分、120次/分、180次/分,并伴有室性心动过速异常。最后,本研究总结了在结果显示和系统软件方面仍然存在的主要障碍以及发展潜力,这两者对于持续发展至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Functional Connectivity Based Classification for Autism Spectrum Disorder Using Spearman’s Rank Correlation Vector-Quantized Zero-Delay Deep Autoencoders for the Compression of Electrical Stimulation Patterns of Cochlear Implants using STOI Depression Detection on Malay Dialects Using GPT-3 Mechanical Noise Affects Rambling and Trembling Trajectories During Quiet Standing Effect Of Shoe Cushioning Hardness to Running Biomechanics
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1