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Title:
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AUDAPRET: TOWARDS A CLOUD ARCHITECTURE
SUPPORTING MULTI-DEVICE RESEARCH STUDIES |
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Author(s):
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Nadine von Frankenberg, Felix Matschilles and Stephan Jonas |
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ISBN:
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978-989-8704-18-4 |
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Editors:
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Mário Macedo |
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Year:
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2020 |
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Edition:
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Single |
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Keywords:
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Human Study Management, Data Collection, eHealth Architectures, Health Information Systems |
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Type:
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Short |
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First Page:
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209 |
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Last Page:
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212 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Recent improvements in the functional range and measurement accuracy of commercially available biosignal
measurement devices enable cost-effective human trials with large numbers of participants. Biosignals can be tracked
outside the research institution, with only minor restrictions in the daily activities of the study participants, compared to
stationary measuring devices. However, there is a lack of data acquisition systems supporting the use of several different
devices needed, so that the collected data from measurement devices have to be processed manually. Researchers must
also abide by strict legal regulations when handling health-related data of study participants, which is often cumbersome
and requires additional time-consuming efforts. To address these challenges, this paper proposes the AUtomatic DAta
Processing of REsearch Trials (AUDAPRET) architecture, which enables researchers to conduct trials requiring
health-related data of participants in a less time-consuming and legally compliant manner. AUDAPRET is designed in
such a way that study participants retain full control over their data and the access rights of anyone requesting access. |
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