Smartphone Platform Survey-Scale Heart Rate Collection: a Performance Evaluation in Ethiopia

James A. J. Heathers, Jessica B. Hoel, S. Wegerif, Benjamin Schwab, N. Ledlie, Kibrewossen Abay, Guush Berhane, J. Hoddinott
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引用次数: 3

Abstract

Heart rate variability (HRV), a common method of assessing human autonomic status calculated from the heart beat over time, has traditionally been collected in laboratory based models unsuitable for mass or survey-scale collection. Here, we field-trial a solution for the collection of heart rate data, using a photoplethysmographic sensor via a smartphone platform in a pilot sample (n=679). Internal and test-retest reliability of the data over time is excellent, reproduces expected demographic relationships (age/gender vs. HRV) and compares favorably to existing experimental models. The system is suitable for future work in development economics, to assess cardiac / autonomic health in parallel with survey measures of economic development.
智能手机平台调查规模的心率收集:在埃塞俄比亚的性能评估
心率变异性(HRV)是一种评估人类自主状态的常用方法,它是根据心跳随时间的变化而计算的,传统上是在实验室模型中收集的,不适合大规模或调查规模的收集。在这里,我们在试点样本(n=679)中,通过智能手机平台使用光电容积脉搏波传感器,对心率数据收集的解决方案进行了现场试验。随着时间的推移,数据的内部和重测可靠性非常好,再现了预期的人口统计学关系(年龄/性别vs. HRV),与现有的实验模型相比具有优势。该系统适用于未来发展经济学的工作,与经济发展的调查措施并行评估心脏/自主健康。
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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