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Authors: Monika Šimaityte ; Andrius Petrėnas and Vaidotas Marozas

Affiliation: Kaunas University of Technology, Lithuania

ISBN: 978-989-758-279-0

Keyword(s): Physical Activity Distribution, Physical Activity Profile, Smart Wristband, Steps, Sedentary Behaviour, Long-term Monitoring, Cardiovascular Disease.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Cardiovascular Signals ; Computer Vision, Visualization and Computer Graphics ; Devices ; Health Information Systems ; Human-Computer Interaction ; Medical Image Detection, Acquisition, Analysis and Processing ; Monitoring and Telemetry ; Physiological Computing Systems ; Wearable Sensors and Systems

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 a ge. 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. (More)

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Paper citation in several formats:
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 4 BIOSIGNALS: BIOSIGNALS, ISBN 978-989-758-279-0, pages 190-194. DOI: 10.5220/0006632101900194

@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 4 BIOSIGNALS: BIOSIGNALS,},
year={2018},
pages={190-194},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006632101900194},
isbn={978-989-758-279-0},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4 BIOSIGNALS: 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

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