Gabor filter for enhanced recognition of assisted turning events.
Gabor filter for enhanced recognition of assisted turning events.
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Gabor 滤波器用于增强对辅助转弯事件的识别。
DOI：
10.1109/iembs.2011.6091941
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Bergstrom,Nancy
中科院分区：
文献类型：
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作者：
Padhye,NikhilS;Zhang,Xuan;Rapp,MaryPat;Bergstrom,Nancy
护理机构的居民在高风险的压力溃疡是翻在床上的工作人员定期。在一项正在进行的大型多中心随机临床试验（RCT）中，正在研究2、3和4小时翻身间隔对压疮结局的影响。在RCT中，有必要使用活动数据客观地确认注册护士助理报告的辅助翻身次数。高斯平滑活动数据中的活动峰值无法确认辅助转弯观察员注释的支持性试点研究中的所有转弯事件。提出了一种新的技术，使用一维Gabor滤波器，增强活动峰值由于转向事件，并在扩展活动期间减少信号。因此，在试点研究中的所有辅助转弯都被检测和确认。此外，该方法降低了检测灵敏度对判决门限的依赖性。
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.