Evaluating Diversity in Open Photoplethysmography Datasets: Protocol for a Systematic Review.

IF 1.5 Q3 HEALTH CARE SCIENCES & SERVICES
Vedha Penmetcha, Lekaashree Rambabu, Brandon G Smith, Orla Mantle, Thomas Edmiston, Laura Hobbs, Shobhana Nagraj, Peter H Charlton, Tom Bashford
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引用次数: 0

Abstract

Background: Photoplethysmography (PPG) is an optical method for measuring blood volume changes in microcirculation through noninvasive photodetection. It has become a widespread and essential clinical tool, used in pulse oximeters and wearable devices. However, technical aspects of PPG make it susceptible to intrinsic bias, with the potential to adversely affect particular patient and consumer populations. Developments in PPG technology, increasingly driven by openly accessible datasets as opposed to de novo experimentation, have the potential to help monitor an array of physiological variables. However, some populations may be underrepresented in PPG datasets. We describe a protocol for a systematic review to assess the biases within open access PPG datasets.

Objective: This review aims to evaluate the underlying reporting patterns and structure of openly accessible PPG datasets. We will provide insight into the measured biosignals and demographic variables included in the datasets in the hope of shedding light on what PPG data parameters are being used to develop medical devices. Therefore, we can elucidate current gaps and areas for improvement to reduce bias in medical device development.

Methods: This review will be reported in accordance with the standard PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. We will include primary studies that mention PPG and specifically reference openly accessible datasets since 2000. The datasets must contain physiological parameters such as heart rate, blood pressure, or respiratory rate, as well as the PPG waveform data, collected from humans. Searches will be conducted in literature databases and data repositories, including MedLine OVID, IEEE Xplore, Scopus, and PhysioNet. Studies will be evaluated in accordance with the Standing Together Initiative recommendations, which are urging for health care technologies supported by representative data. Biosignal and demographic variables will be extracted from the PPG datasets, with steps taken to harmonize and store this information. Statistical analysis will be performed, including descriptive statistics and the chi-square test for comparisons. Additional statistical analyses will be performed after data extraction is completed and the level of heterogeneity is characterized.

Results: We will analyze the dataset diversity and the structural basis of PPG datasets. This includes statistically analyzing the demographic and biosignal variables in the datasets. By using statistical test fit for nominal variable comparisons, we will evaluate the frequencies of characteristics like the devices used, biosignals collected, clinical parameters, demographic characteristics, and geographic information. This systematic review is expected to be completed by September 2025. The screening and review of the articles is currently being conducted.

Conclusions: This review will provide insight into the potential gaps of existing open access PPG datasets. It will inform future data collection and design of openly available PPG datasets for training medical devices, including wearables, to avoid perpetuating biases, allowing for application in diverse clinical settings.

评估开放光容积脉搏波数据集的多样性:系统评价方案。
背景:Photoplethysmography (PPG)是一种通过无创光检测来测量微循环血容量变化的光学方法。它已成为一种广泛和必不可少的临床工具,用于脉搏血氧仪和可穿戴设备。然而,PPG的技术方面使其容易受到内在偏见的影响,有可能对特定患者和消费者群体产生不利影响。PPG技术的发展越来越多地受到开放数据集的推动,而不是从头开始的实验,它有可能帮助监测一系列生理变量。然而,一些人群在PPG数据集中可能代表性不足。我们描述了一个系统评价的方案,以评估开放获取PPG数据集中的偏差。目的:本综述旨在评估可公开访问的PPG数据集的基本报告模式和结构。我们将提供对数据集中所包含的测量生物信号和人口统计学变量的见解,希望能够阐明用于开发医疗设备的PPG数据参数。因此,我们可以阐明目前的差距和需要改进的领域,以减少医疗器械开发中的偏见。方法:本综述将按照标准PRISMA(系统评价和荟萃分析首选报告项目)指南进行报告。我们将包括提到PPG的主要研究,并特别参考2000年以来公开可访问的数据集。数据集必须包含生理参数,如心率、血压或呼吸频率,以及从人体收集的PPG波形数据。检索将在文献数据库和数据存储库中进行,包括MedLine OVID, IEEE explore, Scopus和PhysioNet。研究将根据“团结一致倡议”的建议进行评估,这些建议敦促采用有代表性数据支持的卫生保健技术。将从PPG数据集中提取生物信号和人口统计学变量,并采取步骤协调和存储这些信息。将进行统计分析,包括描述性统计和比较的卡方检验。在数据提取完成并确定异质性水平后,将进行额外的统计分析。结果:我们将分析PPG数据集的数据多样性和结构基础。这包括统计分析数据集中的人口统计学和生物信号变量。通过使用名义变量比较的统计检验拟合,我们将评估使用的设备、收集的生物信号、临床参数、人口统计学特征和地理信息等特征的频率。这项系统审查预计将于2025年9月完成。目前正在对文章进行筛选和审查。结论:本综述将深入了解现有开放获取PPG数据集的潜在差距。它将为培训医疗设备(包括可穿戴设备)的公开可用PPG数据集的未来数据收集和设计提供信息,以避免持续的偏见,允许在不同的临床环境中应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.40
自引率
5.90%
发文量
414
审稿时长
12 weeks
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