Parametrization of Physical Activity Aggregation

Monika Šimaityte, Andrius Petrėnas, Vaidotas Marozas

Abstract

This work introduces a novel approach to parametrization of physical activity profile. The proposed parameter, named as physical activity aggregation, is useful for evaluating a distribution of daily or weekly physical activity. The parameter takes a large value for a highly accumulated physical activity, whereas is much lower for an evenly spread activity over the monitoring period. The parameter was investigated on step data obtained using a smart wristband on a group of 71 participants with cardiovascular disease. The results of the pilot study show that the proposed parameter is capable of discriminating among different physical activity profiles, including sedentary behaviour, going to and from work, walking in a park and being active the entire day. Moreover, the results demonstrate the tendency that middle-aged and older women are associated with lower aggregation values, suggesting that they probably spend less time in sedentary behaviour compared to men of the same age. The proposed parameter has potential to be useful for characterizing physical activity profile, as well as, for investigating its relation to health outcomes, e.g., during ambulatory rehabilitation after major cardiovascular events.

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Paper Citation


in Harvard Style

Šimaityte M., Petrėnas A. and Marozas V. (2018). Parametrization of Physical Activity Aggregation.In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOSIGNALS, ISBN 978-989-758-279-0, pages 190-194. DOI: 10.5220/0006632101900194


in Bibtex Style

@conference{biosignals18,
author={Monika Šimaityte and Andrius Petrėnas and Vaidotas Marozas},
title={Parametrization of Physical Activity Aggregation},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOSIGNALS,},
year={2018},
pages={190-194},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006632101900194},
isbn={978-989-758-279-0},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOSIGNALS,
TI - Parametrization of Physical Activity Aggregation
SN - 978-989-758-279-0
AU - Šimaityte M.
AU - Petrėnas A.
AU - Marozas V.
PY - 2018
SP - 190
EP - 194
DO - 10.5220/0006632101900194