| Title |
Parametrization of physical activity aggregation / |
| Authors |
Šimaitytė, Monika ; Petrėnas, Andrius ; Marozas, Vaidotas |
| ISBN |
9789897582790 |
| Full Text |
|
| Is Part of |
BIOSTEC 2018: 11th international joint conference on biomedical engineering systems and technologies,19-21 January, 2018, Funchal, Madeira, Portugal.. Setúbal : SciTePress, 2018. vol. 3, p. 190-194.. ISBN 9789897582790 |
| Keywords [eng] |
physical activity distribution ; physical activity profile ; smart wristband ; steps ; sedentary behaviour ; long-term monitoring ; cardiovascular disease |
| Abstract [eng] |
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. |
| Published |
Setúbal : SciTePress, 2018 |
| Type |
Conference paper |
| Language |
English |
| Publication date |
2018 |
| CC license |
|
