• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

基于移动云计算的非接触式心电图监测医疗保健服务。

Mobile cloud-computing-based healthcare service by noncontact ECG monitoring.

机构信息

Department of Electronic Engineering, Graduate School, Pukyong National University, Busan 608-737, Korea.

出版信息

Sensors (Basel). 2013 Dec 2;13(12):16451-73. doi: 10.3390/s131216451.

DOI:10.3390/s131216451
PMID:24316562
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3892841/
Abstract

Noncontact electrocardiogram (ECG) measurement technique has gained popularity these days owing to its noninvasive features and convenience in daily life use. This paper presents mobile cloud computing for a healthcare system where a noncontact ECG measurement method is employed to capture biomedical signals from users. Healthcare service is provided to continuously collect biomedical signals from multiple locations. To observe and analyze the ECG signals in real time, a mobile device is used as a mobile monitoring terminal. In addition, a personalized healthcare assistant is installed on the mobile device; several healthcare features such as health status summaries, medication QR code scanning, and reminders are integrated into the mobile application. Health data are being synchronized into the healthcare cloud computing service (Web server system and Web server dataset) to ensure a seamless healthcare monitoring system and anytime and anywhere coverage of network connection is available. Together with a Web page application, medical data are easily accessed by medical professionals or family members. Web page performance evaluation was conducted to ensure minimal Web server latency. The system demonstrates better availability of off-site and up-to-the-minute patient data, which can help detect health problems early and keep elderly patients out of the emergency room, thus providing a better and more comprehensive healthcare cloud computing service.

摘要

非接触式心电图（ECG）测量技术由于其非侵入性的特点和日常生活使用的便利性，近年来越来越受欢迎。本文提出了一种移动云计算在医疗保健系统中的应用，该系统采用非接触式 ECG 测量方法从用户处获取生物医学信号。医疗服务用于持续从多个地点收集生物医学信号。为了实时观察和分析 ECG 信号，使用移动设备作为移动监测终端。此外，在移动设备上安装了个性化的医疗助手；移动应用程序中集成了几项医疗保健功能，如健康状况摘要、药物 QR 码扫描和提醒。健康数据被同步到医疗云计算服务（Web 服务器系统和 Web 服务器数据集）中，以确保无缝的医疗监测系统和随时随地都能连接网络。结合网页应用程序，医疗专业人员或家庭成员可以轻松访问医疗数据。进行了网页性能评估，以确保最小的 Web 服务器延迟。该系统展示了更好的场外和最新的患者数据可用性，这有助于及早发现健康问题，并使老年患者远离急诊室，从而提供更好、更全面的医疗云计算服务。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/97b1432038d1/sensors-13-16451f18.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/ff6011f0bdce/sensors-13-16451f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/8915dbd30134/sensors-13-16451f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/6b69aee24cf1/sensors-13-16451f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/d9ad42397562/sensors-13-16451f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/02178dbe4174/sensors-13-16451f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/f461bfc46a07/sensors-13-16451f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/72d366fa1fa9/sensors-13-16451f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/5346f2351075/sensors-13-16451f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/8859d14504ed/sensors-13-16451f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/839cc6a5b7e8/sensors-13-16451f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/2f37c3134d52/sensors-13-16451f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/edfe750b9c1c/sensors-13-16451f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/8d155d12a653/sensors-13-16451f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/7e5b322b5e77/sensors-13-16451f14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/91267a681654/sensors-13-16451f15a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/72ede72e9ad4/sensors-13-16451f16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/7954a628f210/sensors-13-16451f17.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/97b1432038d1/sensors-13-16451f18.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/ff6011f0bdce/sensors-13-16451f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/8915dbd30134/sensors-13-16451f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/6b69aee24cf1/sensors-13-16451f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/d9ad42397562/sensors-13-16451f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/02178dbe4174/sensors-13-16451f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/f461bfc46a07/sensors-13-16451f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/72d366fa1fa9/sensors-13-16451f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/5346f2351075/sensors-13-16451f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/8859d14504ed/sensors-13-16451f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/839cc6a5b7e8/sensors-13-16451f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/2f37c3134d52/sensors-13-16451f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/edfe750b9c1c/sensors-13-16451f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/8d155d12a653/sensors-13-16451f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/7e5b322b5e77/sensors-13-16451f14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/91267a681654/sensors-13-16451f15a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/72ede72e9ad4/sensors-13-16451f16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/7954a628f210/sensors-13-16451f17.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95b7/3892841/97b1432038d1/sensors-13-16451f18.jpg

相似文献

1
Mobile cloud-computing-based healthcare service by noncontact ECG monitoring.基于移动云计算的非接触式心电图监测医疗保健服务。
Sensors (Basel). 2013 Dec 2;13(12):16451-73. doi: 10.3390/s131216451.
2
Seamless personal health information system in cloud computing.云计算中的无缝个人健康信息系统。
Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:3658-61. doi: 10.1109/EMBC.2014.6944416.
3
A comprehensive ubiquitous healthcare solution on an Android™ mobile device.安卓（Android）移动设备上的全面普及医疗保健解决方案。
Sensors (Basel). 2011;11(7):6799-815. doi: 10.3390/s110706799. Epub 2011 Jun 29.
4
A Flexible 12-Lead/Holter Device with Compression Capabilities for Low-Bandwidth Mobile-ECG Telemedicine Applications.一种具有压缩功能的灵活 12 导联/动态心电图设备，适用于低带宽移动心电图远程医疗应用。
Sensors (Basel). 2018 Nov 5;18(11):3773. doi: 10.3390/s18113773.
5
Cloud-ECG for real time ECG monitoring and analysis.云心电图，用于实时心电图监测和分析。
Comput Methods Programs Biomed. 2013 Jun;110(3):253-9. doi: 10.1016/j.cmpb.2012.11.008. Epub 2012 Dec 20.
6
Development and clinical study of mobile 12-lead electrocardiography based on cloud computing for cardiac emergency.基于云计算的心脏急救移动12导联心电图的研发与临床研究
Stud Health Technol Inform. 2013;192:1077.
7
Enabling smart personalized healthcare: a hybrid mobile-cloud approach for ECG telemonitoring.实现智能个性化医疗：一种用于心电图远程监测的混合移动云方法。
IEEE J Biomed Health Inform. 2014 May;18(3):739-45. doi: 10.1109/JBHI.2013.2286157. Epub 2013 Oct 17.
8
WSN based mobile u-healthcare system with ECG, blood pressure measurement function.基于无线传感器网络的具有心电图、血压测量功能的移动医疗保健系统。
Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:1533-6. doi: 10.1109/IEMBS.2008.4649461.
9
Remote Pain Monitoring Using Fog Computing for e-Healthcare: An Efficient Architecture.基于雾计算的远程疼痛监测在电子医疗保健中的应用：一种高效架构。
Sensors (Basel). 2020 Nov 18;20(22):6574. doi: 10.3390/s20226574.
10
Implementation of a WAP-based telemedicine system for patient monitoring.基于无线应用协议的患者监测远程医疗系统的实现。
IEEE Trans Inf Technol Biomed. 2003 Jun;7(2):101-7. doi: 10.1109/titb.2003.811870.

引用本文的文献

1
Unraveling the role of cloud computing in health care system and biomedical sciences.解析云计算在医疗保健系统和生物医学科学中的作用。
Heliyon. 2024 Apr 2;10(7):e29044. doi: 10.1016/j.heliyon.2024.e29044. eCollection 2024 Apr 15.
2
SIMpLE: A Mobile Cloud-Based System for Health Monitoring of People with ALS.SIMpLE：一个基于移动云计算的 ALS 患者健康监测系统。
Sensors (Basel). 2021 Oct 30;21(21):7239. doi: 10.3390/s21217239.
3
Mobile Health in Remote Patient Monitoring for Chronic Diseases: Principles, Trends, and Challenges.

本文引用的文献

1
A smartphone-based driver safety monitoring system using data fusion.基于数据融合的智能手机驾驶员安全监测系统。
Sensors (Basel). 2012 Dec 17;12(12):17536-52. doi: 10.3390/s121217536.
2
A comprehensive ubiquitous healthcare solution on an Android™ mobile device.安卓（Android）移动设备上的全面普及医疗保健解决方案。
Sensors (Basel). 2011;11(7):6799-815. doi: 10.3390/s110706799. Epub 2011 Jun 29.
3
Resting heart rate, mortality and future coronary heart disease in the elderly: the 3C Study.老年人静息心率、死亡率与未来冠心病：3C研究
慢性病远程患者监测中的移动健康：原则、趋势与挑战。
Diagnostics (Basel). 2021 Mar 29;11(4):607. doi: 10.3390/diagnostics11040607.
4
Tracking Knowledge Evolution in Cloud Health Care Research: Knowledge Map and Common Word Analysis.追踪云医疗保健研究中的知识演变：知识图谱与常用词分析。
J Med Internet Res. 2020 Feb 25;22(2):e15142. doi: 10.2196/15142.
5
An Edge Computing Based Smart Healthcare Framework for Resource Management.基于边缘计算的智能医疗保健资源管理框架。
Sensors (Basel). 2018 Dec 6;18(12):4307. doi: 10.3390/s18124307.
6
Personalized Health Monitoring System for Managing Well-Being in Rural Areas.农村地区健康管理的个性化健康监测系统。
J Med Syst. 2017 Dec 14;42(1):22. doi: 10.1007/s10916-017-0854-9.
7
Reduction of Motion Artifacts and Improvement of R Peak Detecting Accuracy Using Adjacent Non-Intrusive ECG Sensors.使用相邻非侵入式心电图传感器减少运动伪影并提高R波检测精度
Sensors (Basel). 2016 May 17;16(5):715. doi: 10.3390/s16050715.
8
Community-Based ECG Monitoring System for Patients with Cardiovascular Diseases.基于社区的心血管疾病患者心电图监测系统。
J Med Syst. 2016 Apr;40(4):80. doi: 10.1007/s10916-016-0442-4. Epub 2016 Jan 22.
9
A Wearable Context-Aware ECG Monitoring System Integrated with Built-in Kinematic Sensors of the Smartphone.一种集成了智能手机内置运动传感器的可穿戴情境感知心电图监测系统。
Sensors (Basel). 2015 May 19;15(5):11465-84. doi: 10.3390/s150511465.
10
Architecture Design of Healthcare Software-as-a-Service Platform for Cloud-Based Clinical Decision Support Service.用于基于云的临床决策支持服务的医疗软件即服务平台的架构设计。
Healthc Inform Res. 2015 Apr;21(2):102-10. doi: 10.4258/hir.2015.21.2.102. Epub 2015 Apr 30.
Eur J Cardiovasc Prev Rehabil. 2011 Jun;18(3):488-97. doi: 10.1177/1741826710389365. Epub 2011 Feb 25.
4
Higher heart rate may predispose to obesity and diabetes mellitus: 20-year prospective study in a general population.心率加快可能易引发肥胖和糖尿病：一项针对普通人群的20年前瞻性研究。
Am J Hypertens. 2009 Feb;22(2):151-5. doi: 10.1038/ajh.2008.331. Epub 2008 Dec 11.
5
An application of capacitive electrode for detecting electrocardiogram of neonates and infants.一种用于检测新生儿和婴儿心电图的电容式电极的应用。
Conf Proc IEEE Eng Med Biol Soc. 2006;2006:916-9. doi: 10.1109/IEMBS.2006.260362.
6
ECG recording on a bed during sleep without direct skin-contact.睡眠期间在床上进行的心电图记录，无需直接皮肤接触。
IEEE Trans Biomed Eng. 2007 Apr;54(4):718-25. doi: 10.1109/TBME.2006.889194.
7
ECG measurement on a chair without conductive contact.在无导电接触的椅子上进行心电图测量。
IEEE Trans Biomed Eng. 2006 May;53(5):956-9. doi: 10.1109/TBME.2006.872823.
8
Capacitive electrocardiographic and bioelectric electrodes.电容式心电图和生物电电极。
IEEE Trans Biomed Eng. 1969 Jan;16(1):99. doi: 10.1109/tbme.1969.4502613.