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Assistive health systems for home-dwelling elderly : connecting training and monitoring technologies to a data integration platform

  • 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.

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Author:Petra Friedrich, Maksym GaidukORCiD, Ángel Serrano AlarcónORCiD, Daniel ScherzORCiD, Natividad Martínez MadridORCiD, Ralf SeepoldORCiDGND, Matthias Gaßner, Dominik FuchsORCiD
DOI:https://doi.org/10.1016/j.procs.2022.09.359
ISSN:1877-0509
Parent Title (English):Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference, KES2022, 7 - 9 September 2022, Verona, Italy (Procedia Computer Science)
Volume:207
Publisher:Elsevier
Place of publication:Amsterdam
Document Type:Conference Proceeding
Language:English
Year of Publication:2022
Release Date:2022/11/14
Tag:Home health; Assistive systems; Interoperability; Sleep assessment; Exercise
First Page:3002
Last Page:3011
Note:
Corresponding author: Petra Friedrich
Institutes:Institut für Angewandte Forschung - IAF
Open Access?:Ja
Relevance:Peer reviewed nach anderen Listungen (mit Nachweis zum Peer Review Verfahren)
Licence (German):License LogoCreative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International