• 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

在重症监护病房环境中使用可穿戴生命体征贴片的可行性研究。

Feasibility study of the use of a wearable vital sign patch in an intensive care unit setting.

作者信息

Stevens Guylian, Larmuseau Michiel, Damme Annelies Van, Vanoverschelde Henk, Heerman Jan, Verdonck Pascal

机构信息

Departement of Electronics and Information Systems - IBiTech, Ghent University, Korneel Heymanslaan, Gent, 9000, East-Flanders, Belgium.

H3CareSolutions, Henegouwenstraat 41, Gent, 9000, East-Flanders, Belgium.

出版信息

J Clin Monit Comput. 2025 Feb;39(1):245-256. doi: 10.1007/s10877-024-01207-5. Epub 2024 Aug 19.

DOI:10.1007/s10877-024-01207-5
PMID:39158782
Abstract

Multiple studies and review papers have concluded that early warning systems have a positive effect on clinical outcomes, patient safety and clinical performances. Despite the substantial evidence affirming the efficacy of EWS applications, persistent barriers hinder their seamless integration into clinical practice. Notably, EWS, such as the National Early Warning Score, simplify multifaceted clinical conditions into singular numerical indices, thereby risking the oversight of critical clinical indicators and nuanced fluctuations in patients' health status. Furthermore, the optimal deployment of EWS within clinical contexts remains elusive. Manual assessment of EWS parameters exacts a significant temporal toll on healthcare personnel. Addressing these impediments necessitates innovative approaches. In this regard, wearable medical technologies emerge as promising solutions capable of continual monitoring of hospitalized patients' vital signs. To overcome the barriers of the use of early warning scores, wearable medical technology has the potential to continuously monitor vital signs of hospitalised patients. However, a fundamental inquiry arises regarding the comparability of their reliability to the current used golden standards. This inquiry underscores the imperative for rigorous evaluation and validation of wearable medical technologies to ascertain their efficacy in augmenting extant clinical practices. This prospective, single-center study aimed to evaluate the accuracy of heart rate and respiratory rate measurements obtained from the Vivalink Cardiac patch in comparison to the ECG-based monitoring system utilized at AZ Maria Middelares Hospital in Ghent. Specifically, the study focused on assessing the concordance between the data obtained from the Vivalink Cardiac patch and the established ECG-based monitoring system among a cohort of ten post-surgical intensive care unit (ICU) patients. Of these patients, five were undergoing mechanical ventilation post-surgery, while the remaining five were not. The study proceeded by initially comparing the data recorded by the Vivalink Cardiac patch with that of the ECG-based monitoring system. Subsequently, the data obtained from both the Vivalink Cardiac patch and the ECG-based monitoring system were juxtaposed with the information derived from the ventilation machine, thereby providing a comprehensive analysis of the patch's performance in monitoring vital signs within the ICU setting. For heart rate, the Vivalink Cardiac patch was on average within a 5% error range of the ECG-based monitoring system during 85.11±10.81% of the measured time. For respiratory rate this was during 40.55±17.28% of the measured time. Spearman's correlation coefficient showed a very high correlation of 8 for heart rate and a moderate correlation of for respiratory rate. In comparison with the ventilated respiratory rate (ventilation machine) the Vivalink and ECG-based monitoring system both had a moderate correlation of A very high correlation was found between the heart rate measured by the Vivalink Cardiac patch and that of the ECG-based monitoring system of the hospital. Concerning respiratory rate the correlation between the data from the Vivalink Cardiac patch, the ECG-based monitoring system and the ventilation machine was found to be moderate.

摘要

多项研究和综述论文得出结论,早期预警系统对临床结果、患者安全和临床绩效具有积极影响。尽管有大量证据证实了早期预警系统应用的有效性,但持续存在的障碍阻碍了它们无缝融入临床实践。值得注意的是,诸如国家早期预警评分之类的早期预警系统将多方面的临床状况简化为单一数值指标,从而有忽视关键临床指标和患者健康状况细微波动的风险。此外,早期预警系统在临床环境中的最佳部署仍然难以捉摸。对早期预警系统参数进行人工评估会给医护人员带来巨大的时间成本。解决这些障碍需要创新方法。在这方面,可穿戴医疗技术成为有前景的解决方案,能够持续监测住院患者的生命体征。为克服使用早期预警评分的障碍,可穿戴医疗技术有潜力持续监测住院患者的生命体征。然而,一个基本问题出现了,即其可靠性与当前使用的黄金标准的可比性。这一问题凸显了对可穿戴医疗技术进行严格评估和验证的必要性,以确定它们在增强现有临床实践方面的功效。这项前瞻性单中心研究旨在评估从Vivalink心脏贴片获得的心率和呼吸率测量值与根特AZ Maria Middelares医院使用的基于心电图的监测系统相比的准确性。具体而言,该研究重点评估了在一组十名外科重症监护病房(ICU)患者中,从Vivalink心脏贴片获得的数据与既定的基于心电图的监测系统之间的一致性。在这些患者中,五名患者术后正在接受机械通气,其余五名患者未接受。该研究首先将Vivalink心脏贴片记录的数据与基于心电图的监测系统的数据进行比较。随后,将从Vivalink心脏贴片和基于心电图的监测系统获得的数据与从呼吸机得出的信息并列,从而全面分析该贴片在ICU环境中监测生命体征的性能。对于心率,在85.11±10.81%的测量时间内,Vivalink心脏贴片平均处于基于心电图的监测系统5%的误差范围内。对于呼吸率,这一比例为40.55±17.28%的测量时间。Spearman相关系数显示,心率的相关性非常高,为0.8,呼吸率的相关性为中等。与通气呼吸率(呼吸机)相比,Vivalink和基于心电图的监测系统的相关性均为中等。Vivalink心脏贴片测量的心率与医院基于心电图的监测系统的心率之间发现非常高的相关性。关于呼吸率,发现Vivalink心脏贴片、基于心电图的监测系统和呼吸机的数据之间的相关性为中等。

相似文献

1
Feasibility study of the use of a wearable vital sign patch in an intensive care unit setting.在重症监护病房环境中使用可穿戴生命体征贴片的可行性研究。
J Clin Monit Comput. 2025 Feb;39(1):245-256. doi: 10.1007/s10877-024-01207-5. Epub 2024 Aug 19.
2
Reliability of a wearable wireless patch for continuous remote monitoring of vital signs in patients recovering from major surgery: a clinical validation study from the TRaCINg trial.用于大手术后康复患者生命体征连续远程监测的可穿戴无线贴片的可靠性:来自TRaCINg试验的一项临床验证研究
BMJ Open. 2019 Aug 15;9(8):e031150. doi: 10.1136/bmjopen-2019-031150.
3
Vital Signs Prediction and Early Warning Score Calculation Based on Continuous Monitoring of Hospitalised Patients Using Wearable Technology.基于可穿戴技术对住院患者进行连续监测的生命体征预测和早期预警评分计算。
Sensors (Basel). 2020 Nov 18;20(22):6593. doi: 10.3390/s20226593.
4
Reliability of wireless monitoring using a wearable patch sensor in high-risk surgical patients at a step-down unit in the Netherlands: a clinical validation study.荷兰一家降级护理病房中使用可穿戴贴片传感器对高危手术患者进行无线监测的可靠性:一项临床验证研究。
BMJ Open. 2018 Feb 27;8(2):e020162. doi: 10.1136/bmjopen-2017-020162.
5
ChroniSense National Early Warning Score Study: Comparison Study of a Wearable Wrist Device to Measure Vital Signs in Patients Who Are Hospitalized.ChroniSense 全国预警评分研究:可穿戴腕带设备测量住院患者生命体征的比较研究。
J Med Internet Res. 2023 Feb 6;25:e40226. doi: 10.2196/40226.
6
ChroniSense National Early Warning Score Study (CHESS): a wearable wrist device to measure vital signs in hospitalised patients-protocol and study design.慢性感知国家早期预警评分研究(CHESS):一种用于测量住院患者生命体征的可穿戴腕部设备——方案与研究设计
BMJ Open. 2019 Sep 20;9(9):e028219. doi: 10.1136/bmjopen-2018-028219.
7
Towards development of alert thresholds for clinical deterioration using continuous predictive analytics monitoring.利用连续预测分析监测开发临床恶化预警阈值。
J Clin Monit Comput. 2020 Aug;34(4):797-804. doi: 10.1007/s10877-019-00361-5. Epub 2019 Jul 20.
8
Validity and Reliability of Wearable Sensors for Continuous Postoperative Vital Signs Monitoring in Patients Recovering from Trauma Surgery.可穿戴传感器在创伤手术后患者连续术后生命体征监测中的有效性和可靠性。
Sensors (Basel). 2024 Oct 1;24(19):6379. doi: 10.3390/s24196379.
9
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.
10
Feasibility of Using Resting Heart Rate and Step Counts From Patient-Held Sensors During Clinical Assessment of Medical Emergencies (FUSE): Protocol for Prospective Observational Study in European Hospitals.在医疗紧急情况临床评估中使用患者手持传感器的静息心率和步数的可行性(FUSE):欧洲医院前瞻性观察性研究方案
JMIR Res Protoc. 2025 Apr 28;14:e55975. doi: 10.2196/55975.

引用本文的文献

1
Enhancing the Usability of Patient Monitoring Devices in Intensive Care Units: Usability Engineering Processes for Early Warning System (EWS) Evaluation and Design.提高重症监护病房患者监测设备的可用性:早期预警系统(EWS)评估与设计的可用性工程流程
J Clin Med. 2025 May 6;14(9):3218. doi: 10.3390/jcm14093218.

本文引用的文献

1
Clinical validation of a contactless respiration rate monitor.接触式呼吸率监测仪的临床验证。
Sci Rep. 2023 Mar 1;13(1):3480. doi: 10.1038/s41598-023-30171-4.
2
ChroniSense National Early Warning Score Study: Comparison Study of a Wearable Wrist Device to Measure Vital Signs in Patients Who Are Hospitalized.ChroniSense 全国预警评分研究:可穿戴腕带设备测量住院患者生命体征的比较研究。
J Med Internet Res. 2023 Feb 6;25:e40226. doi: 10.2196/40226.
3
Projecting the chronic disease burden among the adult population in the United States using a multi-state population model.
利用多州人口模型预测美国成年人口的慢性病负担。
Front Public Health. 2023 Jan 13;10:1082183. doi: 10.3389/fpubh.2022.1082183. eCollection 2022.
4
Nurses' experiences with continuous vital sign monitoring on the general surgical ward: a qualitative study based on the Behaviour Change Wheel.护士在普通外科病房进行连续生命体征监测的体验:一项基于行为改变轮的定性研究
BMC Nurs. 2022 Mar 14;21(1):60. doi: 10.1186/s12912-022-00837-x.
5
Experiences of current vital signs monitoring practices and views of wearable monitoring: A qualitative study in patients and nurses.当前生命体征监测实践的经验和对可穿戴监测的看法:一项在患者和护士中的定性研究。
J Adv Nurs. 2022 Mar;78(3):810-822. doi: 10.1111/jan.15055. Epub 2021 Oct 15.
6
Less is more: Detecting clinical deterioration in the hospital with machine learning using only age, heart rate, and respiratory rate.少即是多:仅使用年龄、心率和呼吸频率通过机器学习检测医院中的临床病情恶化情况。
Resuscitation. 2021 Nov;168:6-10. doi: 10.1016/j.resuscitation.2021.08.024. Epub 2021 Aug 23.
7
Estimation of the Respiratory Rate from Localised ECG at Different Auscultation Sites.从不同听诊部位的局部心电图估算呼吸频率。
Sensors (Basel). 2020 Dec 25;21(1):78. doi: 10.3390/s21010078.
8
Vital Signs Prediction and Early Warning Score Calculation Based on Continuous Monitoring of Hospitalised Patients Using Wearable Technology.基于可穿戴技术对住院患者进行连续监测的生命体征预测和早期预警评分计算。
Sensors (Basel). 2020 Nov 18;20(22):6593. doi: 10.3390/s20226593.
9
Using the National Early Warning Score (NEWS/NEWS 2) in different Intensive Care Units (ICUs) to predict the discharge location of patients.使用国家早期预警评分(NEWS/NEWS 2)在不同的重症监护病房(ICU)预测患者的出院地点。
BMC Public Health. 2019 Sep 5;19(1):1231. doi: 10.1186/s12889-019-7541-3.
10
Use of the National Early Warning Score (NEWS) to Identify Acutely Deteriorating Patients with Sepsis in Acute Medical Ward.应用国家早期预警评分(NEWS)识别急性内科病房中脓毒症急性恶化患者。
Ann Acad Med Singap. 2019 May;48(5):145-149.