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Comparison of accelerometer-based energy expenditure estimation algorithms

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3 Author(s)
Niall Twomey ; Dept. of Electrical and Electronic Engineering, University College Cork, Ireland ; Stephen Faul ; William P. Marnane

Many accelerometer-based energy expenditure estimation algorithms and platforms have been established in recent topical literature, and each boasts a high correlation against the gold standard in energy expenditure measurement, i.e. indirect calorimetry. The aim of this study was to implement a set of these algorithms, run them all over a common dataset and investigate the strengths and weaknesses associated with each. The algorithms were then ported to a SHIMMER device for a real time, mobile and non-invasive energy expenditure estimation solution. High correlations were found between the accelerometer-regressed energy expenditure estimates and the reference dataset both on a computer and SHIMMER-implementation of the algorithms.

Published in:

2010 4th International Conference on Pervasive Computing Technologies for Healthcare

Date of Conference:

22-25 March 2010