Mobistudy: Mobile-based, platform-independent, multi-dimensional data collection for clinical studies

Dario Salvi, Carl Magnus Olsson, Gent Ymeri, Carmen Carrasco-Lopez, Kevin C.H. Tsang, Syed Ahmar Shah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

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.

Original languageEnglish
Title of host publication11th International Conference on the Internet of Things, IoT 2021 - Conference Proceedings
PublisherAssociation for Computing Machinery, Inc
Pages219-222
Number of pages4
ISBN (Electronic)9781450385664
DOIs
Publication statusPublished - 8 Nov 2021
Event11th International Conference on the Internet of Things, IoT 2021 - Virtual, Online, Switzerland
Duration: 8 Nov 202111 Nov 2021

Publication series

NameACM International Conference Proceeding Series

Conference

Conference11th International Conference on the Internet of Things, IoT 2021
Country/TerritorySwitzerland
CityVirtual, Online
Period8/11/2111/11/21

Keywords / Materials (for Non-textual outputs)

  • Clinical research
  • IoT
  • m-Health

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