Suppr超能文献

与标准护理多中心开发(VISION-MD)相比,Lifelight软件对生命体征的测量:一项观察性研究的方案

Measurement of Vital Signs by Lifelight Software in Comparison to Standard of Care Multisite Development (VISION-MD): Protocol for an Observational Study.

作者信息

Wiffen Laura, Brown Thomas, Brogaard Maczka Annika, Kapoor Melissa, Pearce Laurence, Chauhan Milan, Chauhan Anoop J, Saxena Manish

机构信息

Department of Research and Innovation, Queen Alexandra Hospital, Portsmouth Hospitals University NHS Trust, Portsmouth, United Kingdom.

Mind Over Matter MedTech Ltd, London, United Kingdom.

出版信息

JMIR Res Protoc. 2023 Jan 11;12:e41533. doi: 10.2196/41533.

Abstract

BACKGROUND

Measuring vital signs (VS) is an important aspect of clinical care but is time-consuming and requires multiple pieces of equipment and trained staff. Interest in the contactless measurement of VS has grown since the COVID-19 pandemic, including in nonclinical situations. Lifelight is an app being developed as a medical device for the contactless measurement of VS using remote photoplethysmography (rPPG) via the camera on smart devices. The VISION-D (Measurement of Vital Signs by Lifelight Software in Comparison to the Standard of Care-Development) and VISION-V (Validation) studies demonstrated the accuracy of Lifelight compared with standard-of-care measurement of blood pressure, pulse rate, and respiratory rate, supporting the certification of Lifelight as a class I Conformité Européenne (CE) medical device.

OBJECTIVE

To support further development of the Lifelight app, the observational VISION Multisite Development (VISION-MD) study is collecting high-quality data from a broad range of patients, including those with VS measurements outside the normal healthy range and patients who are critically ill.

METHODS

The study is recruiting adults (aged ≥16 years) who are inpatients (some critically ill), outpatients, and healthy volunteers, aiming to cover a broad range of normal and clinically relevant VS values; there are no exclusion criteria. High-resolution 60-second videos of the face are recorded by the Lifelight app while simultaneously measuring VS using standard-of-care methods (automated sphygmomanometer for blood pressure; finger clip sensor for pulse rate and oxygen saturation; manual counting of respiratory rate). Feedback from patients and nurses who use Lifelight is collected via a questionnaire. Data to estimate the cost-effectiveness of Lifelight compared with standard-of-care VS measurement are also being collected. A new method for rPPG signal processing is currently being developed, based on the identification of small areas of high-quality signals in each individual. Anticipated recruitment is 1950 participants, with the expectation that data from approximately 1700 will be used for software development. Data from 250 participants will be retained to test the performance of Lifelight against predefined performance targets.

RESULTS

Recruitment began in May 2021 but was hindered by the restrictions instigated during the COVID-19 pandemic. The development of data processing methodology is in progress. The data for analysis will become available from September 2022, and the algorithms will be refined continuously to improve clinical accuracy. The performance of Lifelight compared with that of the standard-of-care measurement of VS will then be tested. Recruitment will resume if further data are required. The analyses are expected to be completed in early 2023.

CONCLUSIONS

This study will support the refinement of data collection and processing toward the development of a robust app that is suitable for routine clinical use.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04763746; https://clinicaltrials.gov/ct2/show/NCT04763746.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/41533.

摘要

背景

测量生命体征(VS)是临床护理的一个重要方面,但耗时且需要多种设备和训练有素的工作人员。自新冠疫情以来,对非接触式测量生命体征的兴趣与日俱增,包括在非临床情况下。Lifelight是一款正在开发的应用程序,作为一种医疗设备,可通过智能设备上的摄像头利用远程光电容积脉搏波描记法(rPPG)非接触式测量生命体征。VISION-D(Lifelight软件测量生命体征与护理标准对照研究——开发)和VISION-V(验证)研究证明了Lifelight与护理标准测量血压、脉搏率和呼吸率相比的准确性,支持Lifelight作为I类欧洲合格认证(CE)医疗设备的认证。

目的

为支持Lifelight应用程序的进一步开发,观察性的VISION多中心开发(VISION-MD)研究正在从广泛的患者群体中收集高质量数据,包括生命体征测量值超出正常健康范围的患者和重症患者。

方法

该研究正在招募住院患者(包括一些重症患者)、门诊患者和健康志愿者中的成年人(年龄≥16岁),旨在涵盖广泛的正常和临床相关生命体征值;没有排除标准。Lifelight应用程序在使用护理标准方法(自动血压计测量血压;手指夹式传感器测量脉搏率和血氧饱和度;人工计数呼吸率)同时测量生命体征时,记录面部的高分辨率60秒视频。通过问卷调查收集使用Lifelight的患者和护士的反馈。还在收集数据以估计Lifelight与护理标准生命体征测量相比的成本效益。目前正在开发一种基于识别每个个体中高质量信号小区域的rPPG信号处理新方法。预计招募1950名参与者,期望约1700人的数据将用于软件开发。将保留250名参与者的数据以根据预定义的性能目标测试Lifelight的性能。

结果

招募工作于2021年5月开始,但受到新冠疫情期间实施的限制的阻碍。数据处理方法的开发正在进行中。分析数据将于2022年9月可用,算法将不断完善以提高临床准确性。然后将测试Lifelight与生命体征护理标准测量相比的性能。如果需要更多数据,招募工作将恢复。分析预计在2023年初完成。

结论

本研究将支持完善数据收集和处理,以开发出一款适用于常规临床使用的强大应用程序。

试验注册

ClinicalTrials.gov NCT04763746;https://clinicaltrials.gov/ct2/show/NCT04763746。

国际注册报告识别码(IRRID):DERR1-10.2196/41533。

相似文献

6
9
A two-phased study on the use of remote photoplethysmography (rPPG) in paediatric care.
Ann Transl Med. 2024 Jun 10;12(3):46. doi: 10.21037/atm-23-1896. Epub 2024 May 27.

引用本文的文献

2
Technologies and main functionalities of the telemonitoring application reCOVeryaID.
Front Big Data. 2024 Jul 22;7:1360092. doi: 10.3389/fdata.2024.1360092. eCollection 2024.
3
Non-Contact Vision-Based Techniques of Vital Sign Monitoring: Systematic Review.
Sensors (Basel). 2024 Jun 19;24(12):3963. doi: 10.3390/s24123963.
4
An intelligent telemonitoring application for coronavirus patients: reCOVeryaID.
Front Big Data. 2023 Sep 18;6:1205766. doi: 10.3389/fdata.2023.1205766. eCollection 2023.

本文引用的文献

3
Response To: Investigating sources of inaccuracy in wearable optical heart rate sensors.
NPJ Digit Med. 2021 Feb 26;4(1):38. doi: 10.1038/s41746-021-00408-5.
4
The use of photoplethysmography for assessing hypertension.
NPJ Digit Med. 2019 Jun 26;2:60. doi: 10.1038/s41746-019-0136-7. eCollection 2019.
5
Estimating blood pressure trends and the nocturnal dip from photoplethysmography.
Physiol Meas. 2019 Feb 26;40(2):025006. doi: 10.1088/1361-6579/ab030e.
6
Validation of a Standalone Smartphone Application for Measuring Heart Rate Using Imaging Photoplethysmography.
Telemed J E Health. 2017 Aug;23(8):678-683. doi: 10.1089/tmj.2016.0230. Epub 2017 Jan 31.
7
ROI analysis for remote photoplethysmography on facial video.
Annu Int Conf IEEE Eng Med Biol Soc. 2015 Aug;2015:4938-41. doi: 10.1109/EMBC.2015.7319499.
8
Uneven Accuracy of Home Blood Pressure Measurement: A Multicentric Survey.
J Clin Hypertens (Greenwich). 2015 Aug;17(8):638-43. doi: 10.1111/jch.12552. Epub 2015 Apr 16.
9
Patterns in the recording of vital signs and early warning scores: compliance with a clinical escalation protocol.
BMJ Qual Saf. 2013 Sep;22(9):719-26. doi: 10.1136/bmjqs-2013-001954. Epub 2013 Apr 19.
10
Regional differences in facial skin blood flow responses to the cold pressor and static handgrip tests.
Eur J Appl Physiol. 2013 Apr;113(4):1035-41. doi: 10.1007/s00421-012-2522-6. Epub 2012 Oct 14.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验