McCarthy, M. and Ringwood, John (2006) Sampling period determination for heart rate logging under an exercise regimen. Journal of Sports Sciences, 24 (10). pp. 1115-1125. ISSN 0264-0414

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Abstract

Using a mathematical procedure, we determine appropriate sampling rates for logging heart rate, at a variety of exercise intensities. The mathematical procedure involves correlating exercise and heart rate data to determine a dynamical mathematical model, from which the frequency response of the relationship between exercise intensity and heart rate can be determined. The sampling rate is then straightforwardly deduced by making appropriate measurements on the frequency response curve. We show how careful consideration needs to be given to the choice of dynamical model structure and the work regimen, so that consistent and convincing conclusions can be drawn. We demonstrate that the dynamics of the workrate/ heart-rate system are dependent on the nominal work/heart rate, but a 5-s sampling period, as used in many commercial heart rate monitors, appears to be adequate, especially when some averaging is performed before logging.

Item Type:	Article
Keywords:	Sampling rate; heart rate; system identification; frequency response;
Academic Unit:	Faculty of Science and Engineering > Electronic Engineering
Item ID:	6904
Identification Number:	https://doi.org/10.1080/02640410500456978
Depositing User:	Professor John Ringwood
Date Deposited:	21 Jan 2016 11:20
Journal or Publication Title:	Journal of Sports Sciences
Publisher:	Taylor & Francis
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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