使用床反应力检测患者的位置,以预防和管理压力损伤
Nikola Pupic1,2, Sharon Gabison1,3,4, Gary Evans1
1KITE Research Institute, Toronto Rehabilitation Institute-University Health Network, Toronto, ON M5G 2A2, Canada.
Sensors (Basel, Switzerland)
|October 16, 2024
概括
重定位患者可以防止压力损伤 (PI). 这项研究发现,提高床上传感器系统检测患者位置的精度实际上降低了其预测准确度,这表明更简单的位置检测可能更可靠.
科学领域:
- 生物医学工程 生物医学工程
- 临床护理 临床护理
- 康复技术 康复技术 康复技术
背景情况:
- 定期重新定位对于预防和治疗高危人群的压力损伤至关重要.
- 使用床载荷细胞的非接触位置检测系统为监控患者位置提供了一个有希望的方法.
- 之前的研究表明,在位置检测方面需要更高的精度,以确保高风险的骨突出部位的卸载.
研究的目的:
- 评估增加位置分类精度对非接触床传感器系统性能的影响.
- 确定更高的准确度预测患者的位置是否提高了系统识别盆骨突出部脱载的能力.
- 评估位置类别 bin 尺寸与开发系统的预测 F1 评分之间的关系.
主要方法:
- 利用了来自18名参与者的数据,这些数据是通过床脚下的负载电池和一个安装在骨盆上的惯性测量装置收集的.
- 训练有素的分类器可以使用三个不同的位置容器大小来预测横横的骨盆角:45°,~30°和15°.
- 采用一个"离开一个参与者"的交叉验证方法,严格评估每个容器大小的分类器性能.
主要成果:
- 随着位置分类的精度提高,预测F1得分呈现下降.
- 训练使用较大的位置容器 (精度较低) 的分类器获得更高的F1分数,与训练使用较小的容器 (精度更高) 的分类器相比.
- 这表明,系统预测患者位置的准确性与所需的位置细节水平相反.
结论:
- 在开发的非接触式系统中,提高位置检测的精度导致预测精度下降 (F1分数).
- 这些发现表明,对于这种特定的传感器技术,更简单,更不精确的位置分类可能更可靠.
- 需要进一步的研究来优化传感器算法或探索其他方法,以实现准确的,高精度的位置检测,以防止压力损伤.
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