Title :
TILDA Signal Processing Framework (SPF) for the analysis of BP responses to standing in epidemiological and clinical studies
Author :
Soraghan, Christopher J. ; Chie Wei Fan ; Hayakawa, Takeshi ; Cronin, Hilary ; Foran, Tim ; Boyle, Gerard ; Kenny, Rose-Anne ; Finucane, Cameron
Author_Institution :
Dept. of Med. Phys. & Bioeng., Mercer´s Inst. for Successful Ageing, Dublin, Ireland
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.
Keywords :
blood pressure measurement; epidemics; feature extraction; medical signal processing; photoplethysmography; BP response analysis; Irish Longitudinal Study on Ageing; SPF; TILDA signal processing framework; artefact rejection; clinical studies; clinically-useful feature extraction; modern epidemiological studies; pBP data; phasic blood pressure data; screening clinician; standing; workload reduction; Aging; Blood pressure; Feature extraction; Heart rate; MATLAB; Noise;
Conference_Titel :
Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on
Conference_Location :
Valencia
DOI :
10.1109/BHI.2014.6864483
