用于预防压疮的床位姿势分类
Bed posture classification for pressure ulcer prevention.
作者信息
Yousefi R, Ostadabbas S, Faezipour M, Farshbaf M, Nourani M, Tamil L, Pompeo M
机构信息
Quality of Life Technology Laboratory The University of Texas at Dallas, Richardson, TX 75080, USA.
出版信息
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:7175-8. doi: 10.1109/IEMBS.2011.6091813.
Pressure ulcer is an age-old problem imposing a huge cost to our health care system. Detecting and keeping record of the patient's posture on bed, help care givers reposition patient more efficiently and reduce the risk of developing pressure ulcer. In this paper, a commercial pressure mapping system is used to create a time-stamped, whole-body pressure map of the patient. An image-based processing algorithm is developed to keep an unobtrusive and informative record of patient's bed posture over time. The experimental results show that proposed algorithm can predict patient's bed posture with up to 97.7% average accuracy. This algorithm could ultimately be used with current support surface technologies to reduce the risk of ulcer development.
压疮是一个由来已久的问题，给我们的医疗保健系统带来了巨大成本。检测并记录患者在床上的姿势，有助于护理人员更高效地为患者重新摆放体位，并降低发生压疮的风险。在本文中，使用一种商用压力映射系统来创建患者有时间戳的全身压力图。开发了一种基于图像的处理算法，以随着时间的推移对患者的床上姿势进行不干扰且信息丰富的记录。实验结果表明，所提出的算法预测患者床上姿势的平均准确率高达97.7%。该算法最终可与当前的支撑面技术一起使用，以降低溃疡发生的风险。
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