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Mobistudy: Mobile-based, platform-independent, multi-dimensional data collection for clinical studies
Malmö University, Internet of Things and People (IOTAP). Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP).ORCID iD: 0000-0002-4261-281X
Malmö University, Internet of Things and People (IOTAP). Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0002-7102-083X
Malmö University, Internet of Things and People (IOTAP). Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0003-1280-5087
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2022 (English)In: IoT 2021: Conference Proceedings, ACM Digital Library, 2022, p. 219-222Conference paper, Published paper (Refereed)
Abstract [en]

Internet of Things (IoT) can work as a useful tool for clinical research. We developed a software platform that allows researchers to publish clinical studies and volunteers to participate into them using an app and connected IoT devices. The platform includes a REST API, a web interface for researchers and an app that collects data during tasks volunteers are invited to contribute. Nine tasks have been developed: Forms, Positioning, Finger tapping, Pulse-oximetry, Peak Flow measurement, Activity tracking, Data query, Queen’s College step test and Six-minute walk test. These leverage sensors embedded in the phone, connected Bluetooth devices and additional APIs like HealthKit and Google Fit. Currently, the platform is used in two clinical studies by 25 patients: an asthma management study in the United Kingdom, and a neuropathic pain management study in Spain.

Place, publisher, year, edition, pages
ACM Digital Library, 2022. p. 219-222
Keywords [en]
clinical research, m-Health, IoT
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:mau:diva-50618DOI: 10.1145/3494322.3494363ISI: 000936000600025Scopus ID: 2-s2.0-85127119368ISBN: 978-1-4503-8566-4 (print)OAI: oai:DiVA.org:mau-50618DiVA, id: diva2:1644505
Conference
11th International Conference on the Internet of Things, November 8-11, 2021. St.Gallen, Switzerland
Funder
Knowledge Foundation, 20140035Available from: 2022-03-14 Created: 2022-03-14 Last updated: 2024-01-08Bibliographically approved

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Salvi, DarioOlsson, Carl MagnusYmeri, GentCarrasco-Lopez, Carmen

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Salvi, DarioOlsson, Carl MagnusYmeri, GentCarrasco-Lopez, Carmen
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Internet of Things and People (IOTAP)Department of Computer Science and Media Technology (DVMT)
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