TILDA Signal Processing Framework (SPF) for the analysis of BP responses to standing in epidemiological and clinical studies

Abstract

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.