B3X:一种新的高效算法,用于准确的自动化辅助血压估计
Jessica Centracchio1, Davide De Caro1, Paolo Bifulco1
1Department of Electrical Engineering and Information Technologies, University of Naples Federico II, Via Claudio 21, I-80125 Naples, Italy.
Physiological measurement
|September 2, 2023
概括
一个新的B3X算法通过分析科罗特科夫声音,准确地估计了心压 (SBP) 和心压 (DBP) 血压. 这种简单的,自动化的辅助方法实现了高精度,超过了复杂的AI和振荡计技术.
科学领域:
- 生物医学工程 生物医学工程
- 医疗器械 医疗器械
- 信号处理 信号处理
背景情况:
- 听力血压测量是准确的,但取决于操作者.
- 自动化科罗特科夫声音分析方法存在,但通常是复杂的.
- 人工智能 (AI) 已被应用于改善自动化血压估计.
研究的目的:
- 提出一种简单的方法,B3X,用于自动估计心压 (SBP) 和心压 (DBP) 血压.
- 评估B3X算法的性能与既定标准和其他算法相比.
- 允许在临床设备中直接实施自动化辅助血压测量.
主要方法:
- 处理来自非侵入性血压测量 (NIBP) 的科罗特科夫声音记录.
- 通过交叉相关性评估Korotkoff声音形态中的节奏变化.
- 分析交叉相关的时间序列及其衍生品,以确定SBP和DBP时间.
- 在一个公开的数据库中测试350项注释测量,并根据BHS,AAMI/ANSI和ISO标准进行评估.
主要成果:
- 在英国高血压协会 (BHS) 的分级系统中,B3X算法在SBP和DBP获得了"A"分.
- 该算法成功通过了AAMI/ANSI和国际标准化组织 (ISO) 的质量标准.
- 在DBP估计中,B3X在DBP估计中超过了两个振荡度NIBP算法和四个基于AI的算法,在较低的计算成本下具有可比的SBP性能.
结论:
- B3X算法在低计算要求的自动化血压估计中提供了高性能.
- 它的简单性和不需要参数训练使其能够直接集成到临床血压监测设备中.
- 这种自动化的听力测试方法弥合了听力测试准确性和振荡计客观性之间的差距,用于实际的临床应用.
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