• 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

可穿戴活动传感器有望定义患者的康复情况。

The promise of wearable activity sensors to define patient recovery.

机构信息

Neurodigital Laboratory, Columbia University, Department of Neurological Surgery, 630 West 168th Street, New York, NY 10032, USA.

Neurodigital Laboratory, Columbia University, Department of Neurological Surgery, 630 West 168th Street, New York, NY 10032, USA.

出版信息

J Clin Neurosci. 2014 Jul;21(7):1089-93. doi: 10.1016/j.jocn.2013.12.003. Epub 2013 Dec 9.

DOI:10.1016/j.jocn.2013.12.003
PMID:24534628
Abstract

The recent emergence of mobile health--the use of mobile telecommunication and wireless devices to improve health outcomes, services, and research--has inspired a patient-centric approach to monitor health metrics. Sensors embedded in wearable devices are utilized to acquire greater self-knowledge by tracking basic parameters such as blood pressure, heart rate, and body temperature as well as data related to exercise, diet, and psychological state. To that end, recent studies on utilizing wireless fitness activity trackers to monitor and promote functional recovery in patients suggest that collecting up-to-date performance data could help patients regain functional independence and help hospitals determine the appropriate length of stay for a patient. This manuscript examines existing functional assessment scales, discusses the use of activity tracking sensors in evaluating functional independence, and explores the growing application of wireless technology in measuring and promoting functional recovery.

摘要

移动医疗的出现——利用移动电信和无线设备来改善健康结果、服务和研究——激发了以患者为中心的方法来监测健康指标。可穿戴设备中嵌入的传感器通过跟踪基本参数(如血压、心率和体温)以及与运动、饮食和心理状态相关的数据,来帮助患者获得更多的自我认知。为此,最近的研究利用无线健身活动追踪器来监测和促进患者的功能恢复,表明收集最新的性能数据可以帮助患者恢复功能独立性,并帮助医院确定患者的适当住院时间。本文研究了现有的功能评估量表,讨论了活动跟踪传感器在评估功能独立性方面的应用,并探讨了无线技术在衡量和促进功能恢复方面的应用。

相似文献

1
The promise of wearable activity sensors to define patient recovery.可穿戴活动传感器有望定义患者的康复情况。
J Clin Neurosci. 2014 Jul;21(7):1089-93. doi: 10.1016/j.jocn.2013.12.003. Epub 2013 Dec 9.
2
Patient monitoring using personal area networks of wireless intelligent sensors.使用无线智能传感器个人区域网络进行患者监测。
Biomed Sci Instrum. 2001;37:373-8.
3
Motion aware clothing for the personal health assistant.用于个人健康助手的运动感知服装。
Stud Health Technol Inform. 2005;117:63-71.
4
Non-invasive wearable electrochemical sensors: a review.非侵入式可穿戴电化学传感器:综述。
Trends Biotechnol. 2014 Jul;32(7):363-71. doi: 10.1016/j.tibtech.2014.04.005. Epub 2014 May 19.
5
Smart Vest: wearable multi-parameter remote physiological monitoring system.智能背心:可穿戴式多参数远程生理监测系统。
Med Eng Phys. 2008 May;30(4):466-77. doi: 10.1016/j.medengphy.2007.05.014. Epub 2007 Sep 14.
6
[Exploration of the design of media access control layer of wireless body area network for medical healthcare].用于医疗保健的无线体域网媒体访问控制层设计探索
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2012 Apr;29(2):379-82.
7
Vital sign monitoring for elderly at home: development of a compound sensor for pulse rate and motion.居家老年人生命体征监测:一种用于脉搏率和运动的复合传感器的研发。
Stud Health Technol Inform. 2005;117:43-50.
8
IT-based diagnostic instrumentation systems for personalized healthcare services.用于个性化医疗服务的基于信息技术的诊断仪器系统。
Stud Health Technol Inform. 2005;117:180-90.
9
Integrating remote monitoring into heart failure patients' care regimen: A pilot study.将远程监测融入心力衰竭患者的治疗方案中:一项试点研究。
PLoS One. 2020 Nov 19;15(11):e0242210. doi: 10.1371/journal.pone.0242210. eCollection 2020.
10
Interoperability as a quality label for portable & wearable health monitoring systems.互操作性作为便携式和可穿戴健康监测系统的一个质量标签。
Stud Health Technol Inform. 2005;117:108-16.

引用本文的文献

1
Physical Activity in Cancer Rehabilitation and Technology Acceptance: Results From the "Oncology in Motion" Project.癌症康复中的身体活动与技术接受度:“运动中的肿瘤学”项目结果
Transl Med UniSa. 2024 Oct 1;26(2):122-130. doi: 10.37825/2239-9747.1063. eCollection 2024.
2
A Retrospective Study on the Feasibility of Using Low-burden Patient-reported Pain Scores to Track Recovery and Outcomes After Total Joint Replacement.一项关于使用低负担患者报告疼痛评分来跟踪全关节置换术后恢复情况和结果的可行性的回顾性研究。
Arthroplast Today. 2024 Feb 6;26:101297. doi: 10.1016/j.artd.2023.101297. eCollection 2024 Apr.
3
Machine Learning for Postoperative Continuous Recovery Scores of Oncology Patients in Perioperative Care with Data from Wearables.
机器学习在围手术期护理中使用可穿戴设备对肿瘤患者术后连续康复评分的应用
Sensors (Basel). 2023 May 2;23(9):4455. doi: 10.3390/s23094455.
4
A Systematic Review of the Use of Commercial Wearable Activity Trackers for Monitoring Recovery in Individuals Undergoing Total Hip Replacement Surgery.一项关于使用商用可穿戴活动追踪器监测全髋关节置换手术患者康复情况的系统评价。
Cyborg Bionic Syst. 2022 Oct 26;2022:9794641. doi: 10.34133/2022/9794641. eCollection 2022.
5
Feasibility and Prediction of Adverse Events in a Postoperative Monitoring Program of Patient-Reported Outcomes and a Wearable Device Among Gynecologic Oncology Patients.妇科肿瘤患者术后患者报告结局及可穿戴设备监测项目中不良事件的可行性与预测
JCO Clin Cancer Inform. 2022 Mar;6(1):e2100167. doi: 10.1200/CCI.21.00167.
6
The State of Data in Healthcare: Path Towards Standardization.医疗保健领域的数据现状:迈向标准化之路
J Healthc Inform Res. 2018 May 22;2(3):248-271. doi: 10.1007/s41666-018-0019-8. eCollection 2018 Sep.
7
Technical, Regulatory, Economic, and Trust Issues Preventing Successful Integration of Sensors into the Mainstream Consumer Wearables Market.技术、监管、经济和信任问题阻碍了传感器成功融入主流消费可穿戴设备市场。
Sensors (Basel). 2022 Apr 2;22(7):2731. doi: 10.3390/s22072731.
8
Wearable devices to monitor recovery after abdominal surgery: scoping review.用于监测腹部手术后恢复情况的可穿戴设备:范围综述
BJS Open. 2022 Mar 8;6(2). doi: 10.1093/bjsopen/zrac031.
9
Remote Health Monitoring in Clinical Trial using Machine Learning Techniques: A Conceptual Framework.使用机器学习技术进行临床试验中的远程健康监测:一个概念框架。
Health Technol (Berl). 2022;12(2):359-364. doi: 10.1007/s12553-022-00652-z. Epub 2022 Mar 11.
10
Mobile devices and wearable technology for measuring patient outcomes after surgery: a systematic review.用于测量术后患者预后的移动设备和可穿戴技术:一项系统评价
NPJ Digit Med. 2021 Nov 12;4(1):157. doi: 10.1038/s41746-021-00525-1.