床出口意图的方法基于阵列气弹床内部压力特征
Fanchao Meng1,2,3, Teng Liu4,5,6, Chuizhou Meng1,2,3
1Engineering Research Center of the Ministry of Education for Intelligent Rehabilitation Equipment and Detection Technologies, Hebei University of Technology, Tianjin, 300130, China.
这项研究引入了一种使用阵列气弹床的新型床出口意图识别系统. 该方法通过准确检测出床事件来增强老年人群的跌倒预防.
科学领域:
- 生物医学工程 生物医学工程
- 医疗保健中的人工智能
- 传感器技术 传感器技术
背景情况:
- 老龄化人口面临更高的跌倒风险,特别是在起床后.
- 当前的监控系统可能缺乏准确性或侵入性.
- 在老年护理中需要可靠的防摔方法.
研究的目的:
- 开发和验证一种使用阵列气弹床识别出床意图的方法.
- 改善患有跌倒风险的老年患者的安全和护理.
- 为了提高防摔探测系统的防干扰能力.
主要方法:
- 卷积神经网络 (CNN) 和特征点匹配的整合.
- 使用一维焦点损失CNN (1D-FLCNN) 进行内部压力时间序列的全球特征分析.
- 使用分布和特征点矩阵与欧几里德距离用于床出姿势的局部特征分析.
- 将全球和本地特征识别结果通过逻辑OR操作结合起来.
主要成果:
- 拟议的方法有效地识别出床的意图.
- 在反干扰能力方面表现出显著的改善.
- 成功避免了与身体位置和环境因素相关的不识别问题.
- 通过实验测试验证.通过实验测试验证.
结论:
- 阵列气弹床系统为老年护理中防摔提供了一个有前途的解决方案.
- 结合全球和本地特征的混合方法提高了识别准确性和稳定性.
- 这项技术可以为老年人提供更安全的生活环境.
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