护理护理的创新方法:人工智能辅助的激励性螺旋计
Yusuf Uzun1, İbrahim Çetin2, Mehmet Kayrıcı3
1Department of Computer Engineering, Faculty of Seydişehir Ahmet Cengiz Engineering, Necmettin Erbakan University, Konya 42370, Türkiye.
Healthcare (Basel, Switzerland)
|November 13, 2025
概括
一个人工智能驱动的激励螺旋计系统使用平板电脑摄像头自动监测呼吸运动. 这种创新的方法显示出高精度,减少护理工作量,改善患者的坚持,改善肺功能.
科学领域:
- 医疗保健中的人工智能
- 数字卫生技术数字卫生技术
- 呼吸系统医学 呼吸系统医学
背景情况:
- 激励性螺旋计对于肺功能和减少术后并发症至关重要.
- 传统的螺旋计缺乏实时反和自动监控功能.
- 手动护理工作负担对于呼吸练习可能是显著的.
研究的目的:
- 探索人工智能支持系统的可行性,以自动化激励螺旋测量监测.
- 通过自动化呼吸运动跟踪来减少手工护理工作量.
- 提高患者在呼吸系统护理中的坚持和结果.
主要方法:
- 使用平板电脑摄像头实时跟踪标准螺旋计的体积指示器.
- 采用图像处理技术来分析运动表现.
- 训练有素的机器学习模型 (随机森林,XGBoost等) 在患者数据上对呼吸能力进行分类.
主要成果:
- 人工智能系统通过整体方法实现了100%的准确性和R2 = 1.0.
- 机器学习模型的交叉验证平均准确率超过了99.4%.
- 在人工智能驱动的呼吸系统监测中证明了技术可行性.
结论:
- 这种由人工智能支持的系统是用于临床和家庭环境的具有成本效益和可访问性的解决方案.
- 潜在的整合到标准的呼吸护理方案,减少护理工作量.
- 显示了改善患者坚持和呼吸系统康复的结果的承诺.
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