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Combining mobile crowdsensing and ecological momentary assessments in the healthcare domain

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fnins1400164.pdf (1.067Mb)

peer-reviewed

Erstveröffentlichung
2020-02-28
Authors
Kraft, Robin
Schlee, Winfried
Stach, Michael
Reichert, Manfred
Langguth, Berthold
et al.
Wissenschaftlicher Artikel


Published in
Frontiers in Neuroscience ; 14 (2020). - Art.-Nr. 164. - ISSN 1662-4548. - eISSN 1662-453X
Link to original publication
https://dx.doi.org/10.3389/fnins.2020.00164
Faculties
Fakultät für Ingenieurwissenschaften, Informatik und Psychologie
Institutions
Institut für Datenbanken und Informationssysteme
Institut für Psychologie und Pädagogik
External cooperations
Universität Regensburg
Donau-Universität Krems
Julius-Maximilians-Universität Würzburg
Sivantos GmbH
Document version
published version (publisher's PDF)
Abstract
The increasing prevalence of smart mobile devices (e.g., smartphones) enables the combined use of mobile crowdsensing (MCS) and ecological momentary assessments (EMA) in the healthcare domain. By correlating qualitative longitudinal and ecologically valid EMA assessment data sets with sensormeasurements inmobile apps, new valuable insights about patients (e.g., humans who suffer from chronic diseases) can be gained. However, there are numerous conceptual, architectural and technical, as well as legal challenges when implementing a respective software solution. Therefore, the work at hand (1) identifies these challenges, (2) derives respective recommendations, and (3) proposes a reference architecture for a MCS-EMA-platform addressing the defined recommendations. The required insights to propose the reference architecture were gained in several large-scale mHealth crowdsensing studies running for many years and different healthcare questions. To mention only two examples, we are running crowdsensing studies on questions for the tinnitus chronic disorder or psychological stress. We consider the proposed reference architecture and the identified challenges and recommendations as a contribution in two respects. First, they enable other researchers to align our practical studies with a baseline setting that can satisfy the variously revealed insights. Second, they are a proper basis to better compare data that was gathered using MCS and EMA. In addition, the combined use of MCS and EMA increasingly requires suitable architectures and associated digital solutions for the healthcare domain.
Publication funding
Gefördert vom Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg
Open-Access-Förderung durch die Universität Ulm
Subject headings
[LCSH]: Crowdsourcing
[Free subject headings]: Mobile crowdsensing (MCS) | Ecological momentary assessments (EMA) | Mobile healthcare application | Chronic disorders | Reference architecture
[DDC subject group]: DDC 004 / Data processing & computer science
License
CC BY 4.0 International
https://creativecommons.org/licenses/by/4.0/

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DOI & citation

Please use this identifier to cite or link to this item: http://dx.doi.org/10.18725/OPARU-33926

Kraft, Robin et al. (2020): Combining mobile crowdsensing and ecological momentary assessments in the healthcare domain. Open Access Repositorium der Universität Ulm und Technischen Hochschule Ulm. http://dx.doi.org/10.18725/OPARU-33926
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