FHIR up Ubicomp Data: Mastering Usability, Common Metrics, FAIRness, and Privacy

We propose and analyze a schema to harmonize data and metadata encoding for wearable and ubiquitous devices based on the Fast Healthcare Interoperability Resources standard. Currently, the lack of dataset encoding standards contributes to interpretation errors and proprietary implementations. Our proposed schema describes sensor devices, assessment data, and their characteristics. We develop and evaluate our schema regarding usability, common metric support, FAIRness, and privacy, using four stress monitoring datasets.

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Publication Details

Journal
IEEE Pervasive Computing
Published
2024-10-01
DOI
https://doi.org/10.1109/mprv.2024.3486930
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
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article

FHIR up Ubicomp Data: Mastering Usability, Common Metrics, FAIRness, and Privacy

Luis I. Lopera González, Rüdiger Pryss, Harald Baumeister, Tran Bao Dat Nguyen et al.
IEEE Pervasive Computing
Data Visualization and Analytics
article

FHIR up Ubicomp Data: Mastering Usability, Common Metrics, FAIRness, and Privacy

Luis I. Lopera González, Rüdiger Pryss, Harald Baumeister, Tran Bao Dat Nguyen, Oliver Amft
article en

Abstract

We propose and analyze a schema to harmonize data and metadata encoding for wearable and ubiquitous devices based on the Fast Healthcare Interoperability Resources standard. Currently, the lack of dataset encoding standards contributes to interpretation errors and proprietary implementations. Our proposed schema describes sensor devices, assessment data, and their characteristics. We develop and evaluate our schema regarding usability, common metric support, FAIRness, and privacy, using four stress monitoring datasets.

IEEE Pervasive ComputingVol. 23(4)
University of Freiburg (DE), Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), University of Würzburg (DE)
Openalex Percentile: Top 80%
Data Visualization and Analytics
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FHIR up Ubicomp Data: Mastering Usability, Common Metrics, FAIRness, and Privacy — Luis I. Lopera González, Rüdiger Pryss, et al. · IEEE Pervasive Computing (2024) | TGRS Research Map | TGRS