Universidad Nacional Abierta y a Distancia, Colombia.
Department of Computer Science, University of Jaen, Spain.
J Biomed Inform. 2020 Jul;107:103476. doi: 10.1016/j.jbi.2020.103476. Epub 2020 Jun 18.
Postural changes while maintaining a correct body position are the most efficient method of preventing pressure ulcers. However, executing a protocol of postural changes over a long period of time is an arduous task for caregivers. To address this problem, we propose a fuzzy monitoring system for postural changes which recognizes in-bed postures by means of micro inertial sensors attached to patients' clothes. First, we integrate a data-driven model to classify in-bed postures from the micro inertial sensors which are located in the socks and t-shirt of the patient. Second, a knowledge-based fuzzy model computes the priority of postural changes for body zones based on expert-defined protocols. Results show encouraging performance in the classification of in-bed postures and high adaptability of the knowledge-based fuzzy approach.
保持正确体位的姿势变化是预防压疮的最有效方法。然而，对于护理人员来说，长时间执行体位变化方案是一项艰巨的任务。针对这个问题，我们提出了一种模糊监测系统，可以通过附着在患者衣服上的微惯性传感器来识别卧床姿势。首先，我们整合了一个数据驱动的模型，用于对位于患者袜子和 T 恤中的微惯性传感器所采集的卧床姿势进行分类。其次，基于专家定义的方案，知识型模糊模型计算身体部位的体位变化优先级。结果表明，该模型在卧床姿势分类方面具有令人鼓舞的性能，并且知识型模糊方法具有高度的适应性。
