• 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

通过平台和移动设备感知和存储患者的血压测量结果。

Sensing and Storing the Blood Pressure Measure by Patients through A Platform and Mobile Devices .

机构信息

Department of Computer Systems Engineering, Technological University of Panama, El Dorado 0819-07289 Panama City, Republic of Panama.

出版信息

Sensors (Basel). 2018 Jun 3;18(6):1805. doi: 10.3390/s18061805.

DOI:10.3390/s18061805
PMID:29865293
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6022107/
Abstract

In this article, we present a platform that allows for the integration of different applications for the follow-up of patients with chronic diseases. We developed two elements: a mobile and a web application. The mobile application allows the capture and processing of vital signs for patients with high blood pressure (hypertension). This application allows for the patient to store the data obtained, provides historical information and trends of the stored measures, and provides alerts and recommendations according to ranges of measures that were obtained. The web application allows the doctor and patients to obtain updated information of the disease behavior through the measures obtained. We used different biometric devices including an efimomanometer, glucometer, scale, and a thermometer with a wi-fi connection. Through this web application, we also generated information about average measures at a given time, by age, by region, and by a specific date. The developed system was evaluated in a medical center with different types of patients.

摘要

在本文中,我们提出了一个平台,允许整合用于慢性病患者随访的不同应用程序。我们开发了两个元素:一个移动应用程序和一个网络应用程序。移动应用程序允许高血压(hypertension)患者捕获和处理生命体征。该应用程序允许患者存储获得的数据,提供存储测量值的历史信息和趋势,并根据获得的测量值范围提供警报和建议。网络应用程序允许医生和患者通过获得的测量值获得疾病行为的最新信息。我们使用了不同的生物识别设备,包括电子血压计、血糖仪、体重秤和带 Wi-Fi 连接的温度计。通过这个网络应用程序,我们还生成了关于特定时间、年龄、地区和特定日期的平均测量值的信息。所开发的系统在一个医疗中心进行了评估,包括不同类型的患者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/e364d8a5906d/sensors-18-01805-g020.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/b653b6878104/sensors-18-01805-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/87cfbc8d677d/sensors-18-01805-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/c89d9fc4d283/sensors-18-01805-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/68feae3c5fc8/sensors-18-01805-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/e18a5dfd1569/sensors-18-01805-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/f6d93ad66c6e/sensors-18-01805-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/71f633a7094a/sensors-18-01805-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/1c18ff9d52e7/sensors-18-01805-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/83522b83c4d1/sensors-18-01805-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/8082242c8441/sensors-18-01805-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/df78f06861ca/sensors-18-01805-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/375a10c3487d/sensors-18-01805-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/f6c44a3bd1d2/sensors-18-01805-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/a1f09b97faf8/sensors-18-01805-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/0a68e85e76b4/sensors-18-01805-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/a8833c239a69/sensors-18-01805-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/c40c6cbea730/sensors-18-01805-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/85387c0ab109/sensors-18-01805-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/50fc09c73c67/sensors-18-01805-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/e364d8a5906d/sensors-18-01805-g020.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/b653b6878104/sensors-18-01805-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/87cfbc8d677d/sensors-18-01805-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/c89d9fc4d283/sensors-18-01805-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/68feae3c5fc8/sensors-18-01805-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/e18a5dfd1569/sensors-18-01805-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/f6d93ad66c6e/sensors-18-01805-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/71f633a7094a/sensors-18-01805-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/1c18ff9d52e7/sensors-18-01805-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/83522b83c4d1/sensors-18-01805-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/8082242c8441/sensors-18-01805-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/df78f06861ca/sensors-18-01805-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/375a10c3487d/sensors-18-01805-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/f6c44a3bd1d2/sensors-18-01805-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/a1f09b97faf8/sensors-18-01805-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/0a68e85e76b4/sensors-18-01805-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/a8833c239a69/sensors-18-01805-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/c40c6cbea730/sensors-18-01805-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/85387c0ab109/sensors-18-01805-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/50fc09c73c67/sensors-18-01805-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c26/6022107/e364d8a5906d/sensors-18-01805-g020.jpg

相似文献

1
Sensing and Storing the Blood Pressure Measure by Patients through A Platform and Mobile Devices .通过平台和移动设备感知和存储患者的血压测量结果。
Sensors (Basel). 2018 Jun 3;18(6):1805. doi: 10.3390/s18061805.
2
The role of telehealth counselling with mobile self-monitoring on blood pressure reduction among overseas Koreans with high blood pressure in Vietnam.远程医疗咨询和移动自我监测在降低越南高血压海外韩侨血压方面的作用。
J Telemed Telecare. 2019 May;25(4):241-248. doi: 10.1177/1357633X18780559. Epub 2018 Jun 22.
3
Office blood pressure measurement with electronic devices: has the time come?使用电子设备进行诊室血压测量:时机到了吗?
Am J Hypertens. 2008 Mar;21(3):246. doi: 10.1038/ajh.2007.78.
4
A Novel Mobile Phone Application for Pulse Pressure Variation Monitoring Based on Feature Extraction Technology: A Method Comparison Study in a Simulated Environment.一种基于特征提取技术的用于脉压变异监测的新型手机应用程序:模拟环境下的方法比较研究
Anesth Analg. 2016 Jul;123(1):105-13. doi: 10.1213/ANE.0000000000001282.
5
A coordinated PCP-Cardiologist Telemedicine Model (PCTM) in China's community hypertension care: study protocol for a randomized controlled trial.中国社区高血压护理中的协调式初级保健医生-心脏病专家远程医疗模式(PCTM):一项随机对照试验的研究方案
Trials. 2017 May 25;18(1):236. doi: 10.1186/s13063-017-1970-z.
6
Telemedicine and M-Health in Hypertension Management: Technologies, Applications and Clinical Evidence.远程医疗与移动健康在高血压管理中的应用:技术、应用及临床证据
High Blood Press Cardiovasc Prev. 2016 Sep;23(3):187-96. doi: 10.1007/s40292-016-0143-6. Epub 2016 Apr 12.
7
Progress in blood pressure measurement: a workshop of the European Society of Hypertension.血压测量的进展:欧洲高血压学会研讨会
Blood Press Monit. 2007 Aug;12(4):243-4. doi: 10.1097/mbp.0b013e3281dfec61.
8
A Systematic Review for Mobile Monitoring Solutions in M-Health.移动健康中移动监测解决方案的系统评价
J Med Syst. 2016 Sep;40(9):199. doi: 10.1007/s10916-016-0559-5. Epub 2016 Jul 27.
9
BPcontrol. A Mobile App to Monitor Hypertensive Patients.血压控制。一款用于监测高血压患者的移动应用程序。
Appl Clin Inform. 2016 Dec 7;7(4):1120-1134. doi: 10.4338/ACI-2015-12-RA-0172.
10
The Working Group on Blood Pressure Monitoring of the European Society of Hypertension.欧洲高血压学会血压监测工作组
Blood Press Monit. 2003 Feb;8(1):17-8. doi: 10.1097/01.mbp.0000057011.67622.05.

引用本文的文献

1
Mobile health technologies in the prevention and management of hypertension: A scoping review.移动健康技术在高血压预防与管理中的应用:一项范围综述
Digit Health. 2024 Aug 28;10:20552076241277172. doi: 10.1177/20552076241277172. eCollection 2024 Jan-Dec.
2
Accuracy of Mobile Applications versus Wearable Devices in Long-Term Step Measurements.移动应用程序与可穿戴设备在长期步数测量中的准确性比较。
Sensors (Basel). 2020 Nov 5;20(21):6293. doi: 10.3390/s20216293.

本文引用的文献

1
Piece of string can assess cardiovascular risk, study finds.研究发现,一段细绳可评估心血管风险。
BMJ. 2015 May 10;350:h2434. doi: 10.1136/bmj.h2434.
2
High blood pressure in Panama: prevalence, sociodemographic and biologic profile, treatment, and control (STROBE).巴拿马的高血压:患病率、社会人口学和生物学特征、治疗及控制情况(加强流行病学观察性研究报告规范)
Medicine (Baltimore). 2014 Nov;93(22):e101. doi: 10.1097/MD.0000000000000101.
3
Developing an interactive mobile phone self-report system for self-management of hypertension. Part 1: patient and professional perspectives.
开发用于高血压自我管理的交互式手机自我报告系统。第1部分:患者和专业人士的观点。
Blood Press. 2014 Oct;23(5):288-95. doi: 10.3109/08037051.2014.883203. Epub 2014 Feb 24.
4
The predictive value of different measures of obesity for incident cardiovascular events and mortality.不同肥胖测量指标对心血管事件和死亡发生的预测价值。
J Clin Endocrinol Metab. 2010 Apr;95(4):1777-85. doi: 10.1210/jc.2009-1584. Epub 2010 Feb 3.
5
Remote health monitoring with wearable non-invasive mobile system: The HealthWear project.使用可穿戴无创移动系统进行远程健康监测:HealthWear项目。
Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:1699-702. doi: 10.1109/IEMBS.2008.4649503.
6
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.
7
Seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure.全国高血压防治联合委员会第七次报告:预防、检测、评估及治疗
Hypertension. 2003 Dec;42(6):1206-52. doi: 10.1161/01.HYP.0000107251.49515.c2. Epub 2003 Dec 1.