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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Neuhaeuser, J. Proebstl, D. D'Angelo, L.T. Lueth, T.C. |
| Copyright Year | 2012 |
| Description | Author affiliation: Inst. of Micro Technol. & Med. Device Technol., Tech. Univ. Muenchen, Garching, Germany (Neuhaeuser, J.; Proebstl, D.; D'Angelo, L.T.; Lueth, T.C.) |
| Abstract | In this contribution the behavior of an elderly couple, recorded by a radio module system in their own home is analyzed. There is an increasing interest in giving elderly people the possibility to live at their own homes as long as possible. Since diseases like dementia are diagnosed through the change of behavior, especially the activities of daily living (ADL), there is a growing need of an objective instrument for measuring behavioral changes. Therefore the Eventlogger was developed and installed for 32 days in a home of an elderly couple. Throughout this paper the outcome of the data collection as well as first steps for analyzing it will be discussed. Furthermore we were able to observe different routines of the diseased and the healthy person. The diseased proband follows a very strict routine whereas the healthy proband routines are dependent on different factors. |
| Sponsorship | IEEE Eng. Medicine Biol. Soc. |
| Starting Page | 5841 |
| Ending Page | 5845 |
| File Size | 924090 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424441198 |
| ISSN | 1557170X |
| e-ISBN | 9781457717871 |
| DOI | 10.1109/EMBC.2012.6347322 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-08-28 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Senior citizens TV Dementia Monitoring Meteorology Conferences Sensors behavior interaction ADL radio module recognition |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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