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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Simila, H. Kaartinen, J. Lindholm, M. Saarinen, A. Mahjneh, I. |
| Copyright Year | 2006 |
| Description | Author affiliation: VTT, Oulu (Simila, H.; Kaartinen, J.; Lindholm, M.) |
| Abstract | Balance and gait are a consequence of complex coordination between muscles, nerves, and central nervous system structures. The impairment of these functions can pose serious threats to independent living, especially in the elderly. This study was carried out to evaluate the performance of a wireless acceleration sensor network and its capability in balance estimation. The test has been carried out in eight patients and seven healthy controls. The Patients group had larger values in lateral amplitudes of the sensor displacement and smaller values in vertical displacement amplitudes of the sensor. The step time variations for the Patients were larger than those for the controls. A fuzzy logic and clustering classifiers were implemented, which gave promising results suggesting that a person with balance deficits can be recognized with this system. We conclude that a wireless system is easier to use than a wired one and more unobtrusive to the user |
| Sponsorship | IEEE EMB |
| Starting Page | 1493 |
| Ending Page | 1496 |
| File Size | 226077 |
| Page Count | 4 |
| File Format | |
| ISBN | 1424400325 |
| ISSN | 1557170X |
| DOI | 10.1109/IEMBS.2006.260126 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-08-30 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wireless sensor networks Humans Acceleration Body sensor networks Accelerometers Sampling methods Time division multiple access Media Access Protocol Mobile handsets Bluetooth |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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