关于评估基于光聚素分析的算法用于血压评估的建议
Mohamed Elgendi1, Fridolin Haugg2, Richard Ribon Fletcher3
1Biomedical and Mobile Health Technology Lab, Department of Health Sciences and Technology, ETH Zurich, Zurich, 8008, Switzerland. moe.elgendi@hest.ethz.ch.
Communications medicine
|July 12, 2024
概括
用于估计血压 (BP) 的光电显微镜 (PPG) 算法存在准确性问题. 建议在PPG算法开发中标准化错误评估,以提高高血压管理的BP测量可靠性.
科学领域:
- 生物医学工程 生物医学工程
- 医疗器械 医疗器械
- 生理监测 生理监测
背景情况:
- 光电显微镜 (PPG) 是一种非侵入性的光学方法,用于评估血液体积变化.
- PPG在临床血压 (BP) 评估和高血压管理方面表现有前途.
- 基于PPG的算法可以引入偏见和不准确性,影响性能.
研究的目的:
- 审查评估基于PPG的算法性能的现有措施.
- 在PPG算法开发中推标准化错误评估.
- 提高基于PPG的BP估计的可靠性和准确性.
主要方法:
- 对基于PPG的算法性能评估中广泛使用的七项措施的审查.
- 分析影响PPG测量的错误来源.
- 关于标准化开发和验证协议的建议.
主要成果:
- 在基于PPG的BP算法中识别关键错误来源.
- 对当前绩效评估措施的评估.
- 突出了对标准化错误分析的需要.
结论:
- 在PPG算法开发中,标准化错误评估至关重要.
- 基于PPG的BP估计的准确性提高可以提高高血压的管理.
- 可靠的PPG技术可以带来更好的患者健康结果.
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