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Scheduled sampling of cardiovascular parameters: how often should one collect data?
Author(s) -
Guild SarahJane,
Barrett Carolyn J,
McBryde Fiona D,
Van Vliet Bruce N,
Malpas Simon C
Publication year - 2008
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.22.1_supplement.737.29
Subject(s) - statistics , sampling (signal processing) , telemetry , protocol (science) , data sampling , data set , blood sampling , medicine , blood pressure , data collection , computer science , mathematics , telecommunications , detector , alternative medicine , pathology , artificial intelligence
Long‐term measurement of variables such as heart rate (HR), blood pressure (BP) and sympathetic nerve activity (SNA) via telemetry in laboratory animals has become indispensable in cardiovascular physiology. Due to the significant amount of data recorded and battery life limitations many researchers use acquisition software to intermittently collect data over short time periods at scheduled time points. The question is how much data does one need to collect to accurately reflect the underlying average value? Three separate days (0000–2400) of HR, BP and integrated renal SNA data were used from each of 6 rabbits. Each day's data (collected as 2s averages) were resampled according to 60 sampling protocols to investigate both the quantity of data collected and the number of sampling periods, e.g. 4 hours sampling per day could be two 2 hour or twenty–four 10 minute periods. The error in estimating the actual mean was calculated for each sampling protocol by comparing each day's estimated mean with that calculated using the complete data set for that day. The results show that the error in estimating the daily mean of SNA using a given protocol is approximately double that of BP and HR and good estimations (<2% error) can be achieved by scheduled sampling, particularly if short sampling periods are spread throughout the day. Supported by the Health Research Council of New Zealand and University of Auckland Research Committee.