New technique for real-time interface pressure analysis: Getting more out of large image data sets
New technique for real-time interface pressure analysis: Getting more out of large image data sets
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DOI：
10.1682/jrrd.2007.03.0046
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发表时间：
2008-01-01
影响因子：
--
通讯作者：
Sun, Jiayang
中科院分区：
文献类型：
--
作者：
Bogie, Kath;Wang, Xiaofeng;Sun, Jiayang
最近的技术改进导致临床上越来越多地使用界面压力图来评估座椅压力，这通常需要重复评估。然而，临床条件不能像研究环境那样严格控制，因此给数据的统计分析带来了挑战。介绍了一种多阶段纵向分析和自配准(LASR)技术，强调了三维界面压力图像的实时分析。LASR适合在临床环境中使用，它由几个现代统计组件组成，包括分割方法。我们的分割方法的健壮性也被展示出来。应用LASR对神经肌肉电刺激(NMES)实验数据的分析证实，NMES随着时间的推移改善了骶坐骨区的静态座椅压力分布。随着时间的推移，动态NMES还可以改善重心转移。这些变化可能会降低压疮发生的风险。
Recent technological improvements have led to increasing clinical use of interface pressure mapping for seating pressure evaluation, which often requires repeated assessments. However, clinical conditions cannot be controlled as closely as research settings, thereby creating challenges to statistical analysis of data. A multistage longitudinal analysis and self-registration (LASR) technique is introduced that emphasizes real-time interface pressure image analysis in three dimensions. Suitable for use in clinical settings, LASR is composed of several modem statistical components, including a segmentation method. The robustness of our segmentation method is also shown. Application of LASR to analysis of data from neuromuscular electrical stimulation (NMES) experiments confirms that NMES improves static seating pressure distributions in the sacral-ischial region over time. Dynamic NMES also improves weight-shifting over time. These changes may reduce the risk of pressure ulcer development.