用于流行病学和临床研究中BP反应分析的TILDA信号处理框架(SPF)

C. Soraghan, C. Fan, T. Hayakawa, H. Cronin, T. Foran, Gerard Boyle, R. Kenny, C. Finucane
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引用次数: 17

摘要

爱尔兰老龄化纵向研究(TILDA)收集了第一波5000多名参与者的阶段性血压(pBP)数据。这需要一个信号处理框架(SPF)来实现自动化:1)伪信号抑制,以及2)提取临床有用的特征。开发的框架将筛查临床医生的工作量减少了43%。本文概述的工作详细介绍了分析大型pBP数据集的关键步骤,并强调了现代流行病学研究中遇到的信号处理挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
TILDA Signal Processing Framework (SPF) for the analysis of BP responses to standing in epidemiological and clinical studies
The Irish Longitudinal Study on Ageing (TILDA) collected phasic blood pressure (pBP) data on over 5,000 participants in Wave 1. This required a Signal Processing Framework (SPF) for automating: 1) artefact rejection, and, 2) the extraction of clinically-useful features. The framework developed reduced the workload of the screening clinician by 43%. The work outlined in this paper details key steps in analysing a large dataset of pBP data and highlights the signal processing challenges encountered in modern epidemiological studies.
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