TY  - JOUR
U1  - Wissenschaftlicher Artikel
A1  - Friedrich, Petra
A1  - Gaiduk, Maksym
A1  - Serrano Alarcón, Ángel
A1  - Scherz, Daniel
A1  - Martínez Madrid, Natividad
A1  - Seepold, Ralf
A1  - Gaßner, Matthias
A1  - Fuchs, Dominik
T1  - Assistive health systems for home-dwelling elderly : connecting training and monitoring technologies to a data integration platform
JF  - Procedia computer science
N2  - Home health applications have evolved over the last few decades. Assistive systems such as a data platform in connection with health devices can allow for health-related data to be automatically transmitted to a database. However, there remain significant challenges concerning intermodular communication. Central among them is the challenge of achieving interoperability, the ability of devices to communicate and share data with each other. A major goal of this project was to extend an existing data platform (COMES®) and establish working interoperability by connecting assistive devices with differing approaches. We describe this process for a sleep monitoring and a physical exercise device. Furthermore, we aimed to test this setup and the implementation with a data platform in both a laboratory and an in-home setting with 11 elderly participants. The platform modification was realized, and the relevant changes were made so that the incoming data could be processed by the data platform, as well as visually displayed in real-time. Data was recorded by the respective device and transmitted into the data server with minor disruptions. Our observations affirmed that difficulties and data loss are far more likely to occur with increasing technical complexity, in the event of instable internet connection, or when the device setup requires (elderly) subjects to take specific steps for proper functioning. We emphasize the importance for tests and evaluations of home health technologies in real-life circumstances.
KW  - home health
KW  - assistive systems
KW  - interoperability
KW  - exercise
KW  - sleep assessment
Y1  - 2022
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-38563
SN  - 1877-0509
SS  - 1877-0509
U6  - https://doi.org/10.1016/j.procs.2022.09.359
DO  - https://doi.org/10.1016/j.procs.2022.09.359
VL  - 207
IS  - Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES2022
SP  - 3002
EP  - 3011
S1  - 10
PB  - Elsevier
CY  - Amsterdam
ER  -