TY - GEN
T1 - Mobistudy
T2 - 11th International Conference on the Internet of Things, IoT 2021
AU - Salvi, Dario
AU - Olsson, Carl Magnus
AU - Ymeri, Gent
AU - Carrasco-Lopez, Carmen
AU - Tsang, Kevin C.H.
AU - Shah, Syed Ahmar
N1 - Funding Information:
The work presented in this paper has been partially funded by the NIHR Oxford Biomedical Research Centre, the NIHR Oxford Collaboration for Leadership in Applied Health Research, Asthma UK as part of the Asthma UK Centre for Applied Research (AUK-AC-2012-01 and AUK-AC-2018-01), the Knowledge Foundation through the Internet of Things and People research profile, the Mats Pauls-son Foundation, the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101030384 and sponsorship from Bitbrain. We would like to thank all the students and research assistants who have contributed to the development of the platform.
Publisher Copyright:
© 2021 Owner/Author.
PY - 2021/11/8
Y1 - 2021/11/8
N2 - 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.
AB - 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.
KW - Clinical research
KW - IoT
KW - m-Health
UR - http://www.scopus.com/inward/record.url?scp=85127119368&partnerID=8YFLogxK
U2 - 10.1145/3494322.3494363
DO - 10.1145/3494322.3494363
M3 - Conference contribution
AN - SCOPUS:85127119368
T3 - ACM International Conference Proceeding Series
SP - 219
EP - 222
BT - 11th International Conference on the Internet of Things, IoT 2021 - Conference Proceedings
PB - Association for Computing Machinery, Inc
Y2 - 8 November 2021 through 11 November 2021
ER -