从音频和视频的多式呼吸速率估计在急诊室的患者患者
John Harvill1, Moitreya Chatterjee2, Shaveta Khosla3
1Department of Electrical and Computer EngineeringUniversity of Illinois Urbana-Champaign (UIUC) Champaign IL 61801 USA.
IEEE journal of translational engineering in health and medicine
|January 8, 2026
概括
基于视频的呼吸率估计提供了比音频方法更准确的远程患者监测. 这种非接触式生命体征测量对于可靠的远程医疗应用至关重要.
科学领域:
- 生物医学工程 生物医学工程
- 医疗信号处理 医疗信号处理
- 远程监控患者 远程监控患者
背景情况:
- 随着COVID-19的流行,人们越来越需要可靠的远程医疗解决方案.
- 智能手机使人们有兴趣使用音频或视频信号来估计患者的生命体征.
- 无接触式生命体征监测对于远程和高效的医疗保健提供至关重要.
研究的目的:
- 用视频,音频和组合音频视频信号来估计和比较呼吸速率.
- 评估不同方法的准确性,以估计急诊室患者的呼吸率.
主要方法:
- 基于视频的呼吸速率估计使用信号处理技术.
- 基于音频的呼吸速率估计与信号处理和基于学习的方法进行了比较.
- 呼吸速率的估计是在收集的音频视频集和公共音频集上进行的.
主要成果:
- 最好的平均绝对误差 (MAE) 是2.53使用视频功能在收集的集体.
- 在公共呼吸速率体上,信号处理方法的MAE值为1.63.
- 与音频模式相比,视频模式在估计呼吸速率方面表现出更高的准确性.
结论:
- 基于视频的估计为临床数据提供了比基于音频的方法更准确的呼吸速率读数.
- 通过视频或音频进行非接触式生命体征估计对于远程医疗保健具有重要意义.
- 这项技术消除了对额外测量设备的需求,提高了患者的舒适性和可访问性.
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