Course: Accelerometer physical activity monitoring

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Course title Accelerometer physical activity monitoring
Course code DSPT/@2MPA
Organizational form of instruction no contact
Level of course Doctoral
Year of study not specified
Semester Winter and summer
Number of ECTS credits 5
Language of instruction English
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Dygrýn Jan, Mgr. Ph.D.
Course content
unspecified

Learning activities and teaching methods
unspecified
Learning outcomes
The course focuses on the practical use of accelerometers in the assessment of sleep, sedentary behaviour and physical activity in people of all ages. The student should be able to initialize the accelerometer, evaluate the measured data and prepare the data for planned statistical methods in IBM SPSS or STATISTICA.

Prerequisites
unspecified

Assessment methods and criteria
unspecified
Recommended literature
  • Backes, A., Gupta, T., Schmitz, S., Fagherazzi, G., van Hees, V., & Malisoux, L. (2022). Advanced analytical methods to assess physical activity behavior using accelerometer time series: A scoping review.. Scandinavian Journal of Medicine & Science in Sports, 32, 18-44.
  • Gargiulo, G. D., & Naik, G. R. (2021). Wearable/Personal monitoring devices present to future.. Springer.
  • Innerd, P. (2019). Physical activity assessment: A lifecourse approach.. Routledge.
  • McDonnell, E. I., Zipunnikov, V., Schrack J. A., Goldsmith J., & Wrobel, J. (2021). Registration of 24-hour accelerometric rest-activity profiles and its application to human chronotypes. Biological Rhythm Research.. Advance online publication.
  • Migueles, J. H., Aadland, E., Andersen, L. B., Br?nd, J. C., Chastin, S. F., Hansen, B. H., Konstabel, K., Kvalheim, O. M., McGregor, D. E., Rowlands, A. V., Sabia, S., van Hees, V. T., Walmsley, R., & Ortega, F. B. (2022). GRANADA consensus on analytical approaches to assess associations with accelerometer-determined physical behaviours (physical activity, sedentary behaviour and sleep) in epidemiological studies.. British Journal of Sports Medicine, 56(7), 376-384.
  • Migueles, J. H., Rowlands, A. V., Huber, F., Sabia, S., & van Hees, V. T. (2019). GGIR: A research community-driven open source R package for generating physical activity and sleep outcomes from multi-day raw accelerometer data.. Journal for the Measurement of Physical Behaviour, 2(3), 188-196.
  • Shephard, R. J., & Tudor-Locke, C. (2016). The objective monitoring of physical activity: Contributions of accelerometry to epidemiology, exercise science and rehabilitation.. Springer.
  • Wickham, H., & Grolemund, G. (2017). R for data science.. O'Reilly Media.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Physical Culture Study plan (Version): - (2022) Category: Physical education and sport - Recommended year of study:-, Recommended semester: -
Faculty: Faculty of Physical Culture Study plan (Version): - (2022) Category: Physical education and sport - Recommended year of study:-, Recommended semester: -