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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Padhye, N.S. Xuan Zhang Rapp, M.P. Bergstrom, N. |
| Copyright Year | 2011 |
| Description | Author affiliation: The University of Texas Health Science Center at Houston, TX 77030 USA (Bergstrom, N.) || The University of Texas Health Science Center at Houston, Houston, TX 77030 USA (Padhye, N.S.; Xuan Zhang; Rapp, M.P.) |
| Abstract | Nursing facility residents at high risk for pressure ulcers are turned in bed by staff at regular intervals. In an ongoing large, multi-site randomized clinical trial (RCT) the impacts of 2, 3, and 4 hour turning intervals are being studied on pressure ulcer outcomes. In the RCT, it is necessary to objectively confirm the reported times of assisted turning by certified nurse assistants using activity data. Activity peaks in Gaussian-smoothed activity data were unable to confirm all turning events in a supporting pilot study with observer notes of assisted turns. A new technique is presented using one-dimensional Gabor filters that enhances activity peaks due to turning events and diminishes the signal during extended activity. As a result, all assisted turns in the pilot study were detected and confirmed. Moreover, the dependence of detection sensitivity on decision threshold is lowered in this method. |
| Starting Page | 7873 |
| Ending Page | 7876 |
| File Size | 373072 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424441211 |
| ISSN | 1557170X |
| e-ISBN | 9781457715891 |
| e-ISBN | 9781424441228 |
| DOI | 10.1109/IEMBS.2011.6091941 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-08-30 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Gabor filters Turning Smoothing methods Accelerometers Medical services Sensitivity Educational institutions |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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