Wearable Technology in Measuring Functional Capacity (1 op)
Toteutuksen tunnus: TO00CD12-3001
Toteutuksen perustiedot
- Ilmoittautumisaika
-
28.09.2024 - 24.11.2024
Ilmoittautuminen toteutukselle on päättynyt.
- Ajoitus
-
01.10.2024 - 31.12.2024
Toteutus on päättynyt.
- Opintopistemäärä
- 1 op
- Lähiosuus
- 0 op
- Virtuaaliosuus
- 1 op
- Toteutustapa
- Etäopetus
- Toimipiste
- Laurea Verkkokampus
- Opetuskielet
- englanti
- Paikat
- 0 - 600
- Koulutus
- Laurea täydentävä osaaminen, amk-tutkinto (TOS2), Terveys- ja hyvinvointialat
- Complementary competence, bachelor's studies in English (CCS2), Health and welfare
- Opettajat
- Niklas Leppä
- Mikko Kinnunen
- Laura Kaarna
- Vastuuopettaja
- Laura Kaarna
- Ryhmät
-
CCS224SYComplementary competence (bachelor’s studies in English), S24, Health and welfare
-
TOS224SYTäydentävä osaaminen (amk-tutkinto), S24, Terveys- ja hyvinvointialat
- Opintojakso
- TO00CD12
Tavoitteet
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
Aika ja paikka
In the Digicampus online learning environment during the duration of the course. See Timing.
Oppimateriaali ja suositeltava kirjallisuus
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
Toteutustapa
Self-paced online 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.
Toteutuksen tärkeät päivämäärät
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.
Toteutuksen valinnaiset suoritustavat
According to the degree regulations (2024), Students are entitled to apply for recognition of prior learning regardless of where, when and how the competence has been acquired. At Laurea, there are two different procedures for the recognition and accreditation of prior learning: a) accreditation of prior learning (competence acquired in higher education studies at another institution) and b) demonstration of competence (competence acquired in other ways). The recognition and accreditation of prior learning is initiated by the student themselves. The student is responsible for demonstrating and verifying their competence. The student is entitled to guidance for the recognition and accreditation of their competence. Further information in the student intranet.
Opiskelijan ajankäyttö ja kuormitus
Workload of the study is measured in a way that to acquire the goal competence of the study, one credit corresponds to an average of 26.7 hours of work done by the student. The actual time needed varies e.g. according to prior competence.
Sisältö ja sen jaksotus
In this course, students will explore the principles and research methods of wearable technology and their application in measuring, analyzing, and evaluating individual functional capacity.
Arviointiasteikko
Hyväksytty/Hylätty
Lisätiedot
The course is available also in Finnish with study unit code TO00CD11. You can receive credits only either Finnish or English, but not both.
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.
Laurea degree students and pathway students enroll in the course through Pakki. Enrollments are processed almost daily, allowing you to start the course flexibly when it suits you. You will receive a completion record for the course approximately two weeks after finishing. During holiday periods, enrollments and completion records are processed less frequently.
If the course is not completed by the end date of the implementation, the student can enroll in the next implementation. Incomplete assignments cannot be transferred to the next implementation; all tasks must be redone.
For content-related inquiries, contact the responsible teacher. For other inquiries, email mooc@laurea.fi.