Volltext-Downloads (blau) und Frontdoor-Views (grau)
  • search hit 24 of 109
Back to Result List

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.

Download full text files

Export metadata

Additional Services

Search Google Scholar

Statistics

frontdoor_oas
Metadaten
Author of HS ReutlingenSerrano Alarcón, Ángel; Martínez Madrid, Natividad
URN:urn:nbn:de:bsz:rt2-opus4-38563
DOI:https://doi.org/10.1016/j.procs.2022.09.359
ISSN:1877-0509
Erschienen in:Procedia computer science
Publisher:Elsevier
Place of publication:Amsterdam
Document Type:Journal article
Language:English
Publication year:2022
Tag:assistive systems; exercise; home health; interoperability; sleep assessment
Volume:207
Issue:Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES2022
Page Number:10
First Page:3002
Last Page:3011
DDC classes:004 Informatik
Open access?:Ja
Licence (German):License Logo  Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International