Research Article
Comparison of accelerometer-based energy expenditure estimation algorithms
@INPROCEEDINGS{10.4108/ICST.PERVASIVEHEALTH2010.8879, author={Niall Twomey and Stephen Faul and William P. Marnane}, title={Comparison of accelerometer-based energy expenditure estimation algorithms}, proceedings={4th International ICST Conference on Pervasive Computing Technologies for Healthcare}, proceedings_a={PERVASIVEHEALTH}, year={2010}, month={6}, keywords={Energy expenditure estimation accelerometers indirectcalorimetry.}, doi={10.4108/ICST.PERVASIVEHEALTH2010.8879} }- Niall Twomey
Stephen Faul
William P. Marnane
Year: 2010
Comparison of accelerometer-based energy expenditure estimation algorithms
PERVASIVEHEALTH
ICST
DOI: 10.4108/ICST.PERVASIVEHEALTH2010.8879
Abstract
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.
