计算机视觉辅助的毫米波通信用于室内医疗保健
Zizheng Hua1, Ying Ke2, Ziyi Yang2
1School of Optics and Photonics, Beijing Institute of Technology, No. 5 Zhongguancun South St., Beijing, 100081, Beijing, China.
Computers in biology and medicine
|December 28, 2023
概括
这项研究引入了一种结合毫米波 (mmWave) 技术和计算机视觉 (CV) 的新系统,用于精确的实时患者监测. 该系统确保可靠的数据传输和医疗环境中的适应性覆盖.
科学领域:
- 生物医学工程 生物医学工程
- 无线通信系统无线通信系统
- 医疗信息学 医疗信息学
背景情况:
- 集中患者监测对于预测和预防性医疗保健至关重要.
- 毫米波 (mmWave) 技术提供了高频,高速的无线通信潜力.
- 现有的监控系统在实时数据处理和覆盖方面面临着挑战.
研究的目的:
- 开发和介绍一种使用毫米波和计算机视觉 (CV) 的实时患者监测的新方法.
- 在室内医疗环境中实现精确的患者定位和可靠的数据传输.
- 提高患者监测系统的效率和覆盖范围.
主要方法:
- 毫米波通信与计算机视觉 (CV) 技术的整合.
- 使用CV进行目标检测,深度估计和定位.
- 采用机器学习算法进行实时图像分析和自适应传输调整.
- 系统设计包括发射器,反射面和多个通信目标.
主要成果:
- 证明了精确的定位和可靠的数据传输能力.
- 实现了基于患者运动的传输功率和通道分配的积极适应.
- 确保完整的监控覆盖,即使在潜在障碍的区域.
- 验证了系统在处理高速实时数据需求方面的有效性.
结论:
- 结合的毫米波和CV方法为先进的患者监测提供了一个有希望的解决方案.
- 这种方法通过改进数据处理和覆盖率,显著提高了现代医疗保健的提供.
- 该系统解决了在动态医疗环境中有效和精确的实时监控的需求.
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