Hsia C C, Liou K J, Aung A P W, Foo V, Huang W, Biswas J
ICT-Enabled Healthcare Program, Industrial Technology Research Institute, ITRI South, No. 31, Gongye 2nd Rd., Annan District, Tainan City 70955, Taiwan, R.O.C.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:6131-4. doi: 10.1109/IEMBS.2009.5334694.
Pressure ulcers are common problems for bedridden patients. Caregivers need to reposition the sleeping posture of a patient every two hours in order to reduce the risk of getting ulcers. This study presents the use of Kurtosis and skewness estimation, principal component analysis (PCA) and support vector machines (SVMs) for sleeping posture classification using cost-effective pressure sensitive mattress that can help caregivers to make correct sleeping posture changes for the prevention of pressure ulcers.
压疮是卧床患者的常见问题。护理人员需要每两小时为患者重新调整睡眠姿势，以降低患溃疡的风险。本研究提出使用峰度和偏度估计、主成分分析（PCA）和支持向量机（SVM），通过具有成本效益的压敏床垫进行睡眠姿势分类，这有助于护理人员做出正确的睡眠姿势调整，以预防压疮。
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