Concept and modular telemedicine platform for measuring of vital signs, ADL and behavioral patterns of elderly in home settings

In this contribution a new centralized platform for telemedicine is presented. It combines functions for measuring of vital signs, ADL and behavioral patterns and is especially designed for home care scenarios and the use by elderly people who are not familiar with the use of a PC. Unlike many other...

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Published in2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society Vol. 2011; pp. 3164 - 3167
Main Authors Czabke, A., Loeschke, J., Lueth, T. C.
Format Conference Proceeding Journal Article
LanguageEnglish
Published United States IEEE 01.01.2011
Subjects
Activities of Daily Living
Aged
Behavior
Computer architecture
Hardware
Home Care Services
Humans
Medical services
Monitoring, Physiologic
Sensors
Telemedicine
Web servers
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Summary:In this contribution a new centralized platform for telemedicine is presented. It combines functions for measuring of vital signs, ADL and behavioral patterns and is especially designed for home care scenarios and the use by elderly people who are not familiar with the use of a PC. Unlike many other approaches we did not use a modified standard PC but developed a new dedicated hardware platform. It comes with various interfaces to communicate with different medical home care systems. We implemented a modular software architecture, which allows managing multiple user accounts with different personal settings. Every account can be adapted individually to the user. Every medical device that can be connected to the platform has its own software module, in which data is analyzed, displayed, stored to an internal database or transmitted to a server. Though the user is not bothered with technical issues such as setting up a connection to the internet, he keeps control on his data because he decides if and when data is transferred to a web server. The device was developed in an iterative process and evaluated in focus groups by n = 31 subjects (average age: 67 years) under the supervision of a psychogerontologist. All findings obtained from those sessions were directly incorporated in the presented work.
ISBN:9781424441211
1424441218
ISSN:1094-687X
1557-170X
1558-4615
DOI:10.1109/IEMBS.2011.6090862