• 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

穿戴式身体传感器在健康监测中的应用:系统评价与定性综合。

A Systematic Review on the Use of Wearable Body Sensors for Health Monitoring: A Qualitative Synthesis.

机构信息

School of Innovation, Design and Engineering, Mälardalen University, 722 20 Västerås, Sweden.

出版信息

Sensors (Basel). 2020 Mar 9;20(5):1502. doi: 10.3390/s20051502.

DOI:10.3390/s20051502
PMID:32182907
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7085653/
Abstract

The use of wearable body sensors for health monitoring is a quickly growing field with the potential of offering a reliable means for clinical and remote health management. This includes both real-time monitoring and health trend monitoring with the aim to detect/predict health deterioration and also to act as a prevention tool. The aim of this systematic review was to provide a qualitative synthesis of studies using wearable body sensors for health monitoring. The synthesis and analysis have pointed out a number of shortcomings in prior research. Major shortcomings are demonstrated by the majority of the studies adopting an observational research design, too small sample sizes, poorly presented, and/or non-representative participant demographics (i.e., age, gender, patient/healthy). These aspects need to be considered in future research work.

摘要

可穿戴式身体传感器在健康监测中的应用是一个快速发展的领域,具有为临床和远程健康管理提供可靠手段的潜力。这包括实时监测和健康趋势监测,旨在检测/预测健康恶化,并作为预防工具。本系统评价的目的是对使用可穿戴式身体传感器进行健康监测的研究进行定性综合。综合分析指出了先前研究中的一些缺陷。主要的缺点是大多数研究采用观察性研究设计,样本量太小,呈现效果差,以及/或者参与者人口统计学数据(即年龄、性别、患者/健康)无代表性。这些方面需要在未来的研究工作中加以考虑。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/644e/7085653/0c3ebb364afe/sensors-20-01502-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/644e/7085653/ccc90ca86b03/sensors-20-01502-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/644e/7085653/1bfcda246b60/sensors-20-01502-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/644e/7085653/dd54cc48f328/sensors-20-01502-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/644e/7085653/440ab5f8c148/sensors-20-01502-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/644e/7085653/9479b9fcc5c5/sensors-20-01502-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/644e/7085653/182b940ccb3f/sensors-20-01502-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/644e/7085653/0c3ebb364afe/sensors-20-01502-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/644e/7085653/ccc90ca86b03/sensors-20-01502-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/644e/7085653/1bfcda246b60/sensors-20-01502-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/644e/7085653/dd54cc48f328/sensors-20-01502-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/644e/7085653/440ab5f8c148/sensors-20-01502-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/644e/7085653/9479b9fcc5c5/sensors-20-01502-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/644e/7085653/182b940ccb3f/sensors-20-01502-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/644e/7085653/0c3ebb364afe/sensors-20-01502-g007.jpg

相似文献

1
A Systematic Review on the Use of Wearable Body Sensors for Health Monitoring: A Qualitative Synthesis.穿戴式身体传感器在健康监测中的应用:系统评价与定性综合。
Sensors (Basel). 2020 Mar 9;20(5):1502. doi: 10.3390/s20051502.
2
Smart Home-based IoT for Real-time and Secure Remote Health Monitoring of Triage and Priority System using Body Sensors: Multi-driven Systematic Review.基于智能家居的物联网,利用身体传感器实现分诊和优先级系统的实时安全远程健康监测:多驱动系统评价。
J Med Syst. 2019 Jan 15;43(3):42. doi: 10.1007/s10916-019-1158-z.
3
Real-Time Remote Health Monitoring Systems Using Body Sensor Information and Finger Vein Biometric Verification: A Multi-Layer Systematic Review.基于体传感器信息和指静脉生物特征验证的实时远程健康监测系统:一项多层次系统评价。
J Med Syst. 2018 Oct 16;42(12):238. doi: 10.1007/s10916-018-1104-5.
4
An Internet of Things based physiological signal monitoring and receiving system for virtual enhanced health care network.一种用于虚拟增强型医疗保健网络的基于物联网的生理信号监测与接收系统。
Technol Health Care. 2018;26(2):379-385. doi: 10.3233/THC-171173.
5
A Systematic Review of Wearable Sensors and IoT-Based Monitoring Applications for Older Adults - a Focus on Ageing Population and Independent Living.可穿戴传感器和物联网监测应用于老年人的系统评价 - 关注老龄化人口和独立生活。
J Med Syst. 2019 Jun 15;43(8):233. doi: 10.1007/s10916-019-1365-7.
6
Detecting vital signs with wearable wireless sensors.使用可穿戴无线传感器检测生命体征。
Sensors (Basel). 2010;10(12):10837-62. doi: 10.3390/s101210837. Epub 2010 Dec 2.
7
Internet of things for knowledge administrations by wearable gadgets.物联网通过可穿戴设备进行知识管理。
J Med Syst. 2018 Oct 11;42(11):230. doi: 10.1007/s10916-018-1081-8.
8
Are current wireless monitoring systems capable of detecting adverse events in high-risk surgical patients? A descriptive study.当前的无线监测系统能否检测高危手术患者的不良事件?一项描述性研究。
Injury. 2020 May;51 Suppl 2:S97-S105. doi: 10.1016/j.injury.2019.11.018. Epub 2019 Nov 17.
9
Recent Progress in Wireless Sensors for Wearable Electronics.可穿戴电子设备用无线传感器的最新进展。
Sensors (Basel). 2019 Oct 9;19(20):4353. doi: 10.3390/s19204353.
10
Wearable sensor systems for infants.用于婴儿的可穿戴传感器系统。
Sensors (Basel). 2015 Feb 5;15(2):3721-49. doi: 10.3390/s150203721.

引用本文的文献

1
A systematic review on patient and public attitudes toward health monitoring technologies across countries.一项关于各国患者及公众对健康监测技术态度的系统评价。
NPJ Digit Med. 2025 Jul 12;8(1):433. doi: 10.1038/s41746-025-01762-4.
2
Exploring the Applications of Explainability in Wearable Data Analytics: Systematic Literature Review.探索可解释性在可穿戴数据分析中的应用:系统文献综述
J Med Internet Res. 2024 Dec 24;26:e53863. doi: 10.2196/53863.
3
Strengthening health monitoring: Intention and adoption of Internet of Things-enabled wearable healthcare devices.

本文引用的文献

1
Covariance matrix based fall detection from multiple wearable sensors.基于协方差矩阵的多可穿戴传感器跌倒检测。
J Biomed Inform. 2019 Jun;94:103189. doi: 10.1016/j.jbi.2019.103189. Epub 2019 Apr 25.
2
Wearable Sensor-Based Exercise Biofeedback for Orthopaedic Rehabilitation: A Mixed Methods User Evaluation of a Prototype System.基于可穿戴传感器的运动生物反馈在骨科康复中的应用:原型系统的混合方法用户评估。
Sensors (Basel). 2019 Jan 21;19(2):432. doi: 10.3390/s19020432.
3
People undertaking pulmonary rehabilitation are willing and able to provide accurate data via a remote pulse oximetry system: a multicentre observational study.
加强健康监测:物联网可穿戴医疗设备的意向与采用情况
Digit Health. 2024 Sep 12;10:20552076241279199. doi: 10.1177/20552076241279199. eCollection 2024 Jan-Dec.
4
Modelling the significance of value-belief-norm framework to predict mass adoption potentials of internet of things-enabled wearable fitness devices.建模价值-信念-规范框架对预测物联网支持的可穿戴健身设备大规模采用潜力的重要性。
Heliyon. 2024 Apr 28;10(9):e30179. doi: 10.1016/j.heliyon.2024.e30179. eCollection 2024 May 15.
5
A conceptual IoT-based early-warning architecture for remote monitoring of COVID-19 patients in wards and at home.一种基于物联网的概念性预警架构,用于对病房和家中的新冠肺炎患者进行远程监测。
Internet Things (Amst). 2022 May;18:100399. doi: 10.1016/j.iot.2021.100399. Epub 2021 Apr 6.
6
Health 4.0 in the medical sector: a narrative review.医疗领域的健康4.0:一篇叙述性综述。
Rev Assoc Med Bras (1992). 2024 Mar 15;70(1):e20231149. doi: 10.1590/1806-9282.20231149. eCollection 2024.
7
The Appropriateness of Medical Devices Is Strongly Influenced by Sex and Gender.医疗设备的适用性受到性别和性别的强烈影响。
Life (Basel). 2024 Feb 7;14(2):234. doi: 10.3390/life14020234.
8
Cross Dataset Analysis for Generalizability of HRV-Based Stress Detection Models.跨数据集分析基于 HRV 的应激检测模型的泛化能力。
Sensors (Basel). 2023 Feb 6;23(4):1807. doi: 10.3390/s23041807.
9
Health-Related Telemonitoring Parameters/Signals of Older Adults: An Umbrella Review.老年人健康相关远程监测参数/信号:一项伞式综述。
Sensors (Basel). 2023 Jan 10;23(2):796. doi: 10.3390/s23020796.
10
Digital Devices for Assessing Motor Functions in Mobility-Impaired and Healthy Populations: Systematic Literature Review.用于评估行动障碍和健康人群运动功能的数字设备:系统文献回顾。
J Med Internet Res. 2022 Nov 21;24(11):e37683. doi: 10.2196/37683.
参与肺康复的患者愿意并能够通过远程脉搏血氧仪系统提供准确的数据:一项多中心观察性研究。
J Physiother. 2019 Jan;65(1):28-36. doi: 10.1016/j.jphys.2018.11.002. Epub 2018 Dec 17.
4
Pre-impact Alarm System for Fall Detection Using MEMS Sensors and HMM-based SVM Classifier.基于MEMS传感器和隐马尔可夫模型的支持向量机分类器的跌倒检测撞击前报警系统
Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:4401-4405. doi: 10.1109/EMBC.2018.8513119.
5
Ballistocardiogram Based Identity Recognition: Towards Zero-Effort Health Monitoring in an Internet-of-Things (IoT) Environment.基于心冲击图的身份识别:迈向物联网(IoT)环境下的零负担健康监测。
Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:3326-3329. doi: 10.1109/EMBC.2018.8513092.
6
Clinician perceptions of a prototype wearable exercise biofeedback system for orthopaedic rehabilitation: a qualitative exploration.临床医生对用于骨科康复的可穿戴运动生物反馈系统原型的看法:一项定性探索。
BMJ Open. 2018 Oct 25;8(10):e026326. doi: 10.1136/bmjopen-2018-026326.
7
Smart Vest for Respiratory Rate Monitoring of COPD Patients Based on Non-Contact Capacitive Sensing.基于非接触电容感应的 COPD 患者呼吸频率监测智能背心
Sensors (Basel). 2018 Jul 3;18(7):2144. doi: 10.3390/s18072144.
8
Enabling Stroke Rehabilitation in Home and Community Settings: A Wearable Sensor-Based Approach for Upper-Limb Motor Training.在家庭和社区环境中实现中风康复:一种基于可穿戴传感器的上肢运动训练方法。
IEEE J Transl Eng Health Med. 2018 May 2;6:2100411. doi: 10.1109/JTEHM.2018.2829208. eCollection 2018.
9
Non-Invasive Blood Pressure Estimation from ECG Using Machine Learning Techniques.基于机器学习技术的心电图无创血压估计。
Sensors (Basel). 2018 Apr 11;18(4):1160. doi: 10.3390/s18041160.
10
Wireless Sensor-Dependent Ecological Momentary Assessment for Pediatric Asthma mHealth Applications.用于儿科哮喘移动健康应用的无线传感器相关生态瞬时评估
IEEE Int Conf Connect Health Appl Syst Eng Technol. 2017 Jul;2017:137-146. doi: 10.1109/CHASE.2017.72. Epub 2017 Aug 17.