4th International ICST Conference on Pervasive Computing Technologies for Healthcare

Research Article

Comparison of accelerometer-based energy expenditure estimation algorithms

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  • @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
Niall Twomey1,*, Stephen Faul1, William P. Marnane1
  • 1: Dept. of Electrical and Electronic Engineering, University College Cork, Cork
*Contact email: niallt@rennes.ucc.ie

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.