Wearable Technology in Measuring Functional Capacity

Course description

The student is able to:

describe the use of wearable technology in measuring functional capacity
analyze health data based on physical activity recommendations
practically use wearable technology, analyze its data, and set short-term goals for maintaining health and well-being

Suitable for the social and health care students.
A slightly more extensive version of the study unit is also available in Finnish (Puettava teknologia toimintakyvyn mittaamisessa, 2 credits).
Both study units cannot be included in the bachelor’s degree.
The course is Bachelor’s degree program level. Master’s students may also take the course or join to familiarize themselves with the content, but the course cannot be included in a Master’s degree.

The course is graded on a pass/fail basis.
A passing grade requires the completion of all assignments at a minimum level equivalent to a grade of 1 according to the criteria.

Self-paced online course.
In the Digicampus online learning environment during the duration of the course.
The course is completed entirely independently by the end of the course deadline.
You will study the material in an online learning environment, which includes study materials and assignments/tests. No personal feedback will be provided on the assignments.
The course workspace will remain open until the end of the course deadline (see Timing), and all assignments must be completed before the workspace closes.
If the course is not completed by the end date of the implementation, the student can enrol in the next implementation. Incomplete assignments cannot be transferred to the next implementation; all tasks must be redone.

Learning materials and recommended literature

Airaksinen , M., Gallen, A., Kivi, A., Vijayakrishnan, P., Häyrinen, T., Ilen, E., Räsänen, O., Haataja, L.M. & Vanhatalo, S. 2022. Intelligent wearable allows out-of-the-lab tracking of developing motor abilities in infants. Communication Medicine 2 (69). doi:10.1038/s43856-022-00131-6
Hamilton Ortiz, J. (editor) 2018. Wearable Technologies. IntechOpen. E-book. https://directory.doabooks.org/handle/20.500.12854/130298
ICF e-Learning Tool_English_20220501 (icf-elearning.com)
Kinnunen, H. 2020. Studies for the development, validation, and application of wearable technology in the assessment of human health-related behavior. Thesis. University of Oulu. https://urn.fi/URN:ISBN:9789526227191
Ribbers, G.M.; Regterschot, G.R.H. & Bussmann, J.B.J. 2021. Wearable Movement Sensors for Rehabilitation: From Technology to Clinical Practise. MDPI – Multidisciplinary Digital Publishing Institute. E-book. https://mdpi.com/books/pdfview/book/4361
Stephenson, A., McDonough, S.M., Murphy, M.H., Nugent, C.D. & Mair, J.L. 2017. Using computer, mobile and wearable technology enhanced interventions to reduce sedentary behaviour: a systematic review and meta-analysis. International Journal of Behavioral Nutrition and Physical Activity 14 (105). doi: 10.1186/s12966-017-0561-4

For content-related inquiries, contact the responsible teacher. For other inquiries, email mooc@laurea.fi.

Enrol through your university’s student’s desktop (Pakki/Peppi)
If your university hasn’t yet joined the cross-study service, enrol with the separate enrolment form.
More information at page Cross-institutional student arriving at Laurea from another university
Questions relating to enrolment always at openuas@laurea.fi. The teachers respond only to questions related to the content of the course.