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Body-Area Sensing in Maternity Care: Evaluation of Commercial Wristbands for Pre-birth Stress Management
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Health Sciences (from 2013).ORCID iD: 0000-0001-8709-342X
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Health Sciences (from 2013). Region Värmland.ORCID iD: 0000-0001-7729-7912
Oslo Metropolitan University, NOR.ORCID iD: 0000-0002-0418-4121
2022 (English)In: Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering, Springer, 2022, Vol. 420, p. 168-175Conference paper, Published paper (Refereed)
Abstract [en]

Many women use digital tools during pregnancy and birth. There are many existing mobile applications to measure quantity and length of contractions during early labour, but there is a need to offer evidence-based, credible electronic and digital solutions to parents-to-be. This article presents ongoing research work in a research project regarding mobile telemetric supported maternity care. It summarizes an approach for stress management in late maternity and under birth preparation that is based on body area sensing, our investigation of the properties of commercially available wearable wristbands for body sensing, and the insights gained from testing the wristbands from the project's perspective. We found that sensing precision is very variable depending on the wristband model, while the flows of medical personal data exclusively are routed through vendor cloud platforms outside the EU. The impact of our findings for the use of commercial wristbands in European medical research and practice is discussed in the conclusion.

Place, publisher, year, edition, pages
Springer, 2022. Vol. 420, p. 168-175
Keywords [en]
Body area networking, Midwifery, Mobile health, Self-metering, Stress management, Wearables, Digital devices, mHealth, Wearable technology, Cloud platforms, Digital solutions, Digital tools, Evidence-based, Mobile applications, On-body, Property, Obstetrics
National Category
Health Sciences Computer and Information Sciences
Research subject
Nursing Science; Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-89507DOI: 10.1007/978-3-030-95593-9_14ISI: 000774502300014Scopus ID: 2-s2.0-85125236499ISBN: 9783030955922 (print)OAI: oai:DiVA.org:kau-89507DiVA, id: diva2:1651764
Conference
16th European-Alliance-for-Innovation (EAI) International Conference on Body Area Networks (BodyNets), 25 December 2021 through 26 December 2021
Available from: 2022-04-13 Created: 2022-04-13 Last updated: 2022-09-07Bibliographically approved

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Nordin, AnnaÄngeby, KarinFritsch, Lothar

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