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Personalizing Energy Expenditure Estimation Using Physiological Signals Normalization During Activities of Daily Living

Publication Type Journal Article
Authors Marco Altini, Julien Penders, Ruud Vullers, Oliver Amft
Title Personalizing Energy Expenditure Estimation Using Physiological Signals Normalization During Activities of Daily Living
Abstract In this paper we propose a generic approach to reduce inter-individual variability of different physiological signals (HR, GSR and respiration) by automatically estimating normalization parameters (e.g. baseline and range). The proposed normalization procedure does not require a dedicated personal calibration during system setup. On the other hand, normalization parameters are estimated at system runtime from sedentary and low intensity activities of daily living (ADLs), such as lying and walking. When combined with activity-specific energy expenditure (EE) models, our normalization procedure improved EE estimation by 15 to 33% in a study group of 18 participants, compared to state of the art activity-specific EE models combining accelerometer and non-normalized physiological signals.
Publication Physiological Measurement
Volume 35
Issue 9
Pages 1797
Date September 2014
DOI 10.1088/0967-3334/35/9/1797
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