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使用心脏声音进行心率研究
Abdelhakim Souidi1, Amine Debbal1, Fadia Meziani1
1Genie Biomedical Laboratory (GBM), Faculty of Technology, University A.B.Belkaid-TlemcenBP 119, Tlemcen, Algeria.
Journal of medical engineering & technology
|October 10, 2025
概括
这项研究提供了一个框架,用于从心电图 (PCG) 信号中估计心率 (HR). 中度至重度的声与HR显著相关,较高的声能量与心率下降有关.
科学领域:
- 心脏病学 心脏病学
- 生物医学工程 生物医学工程
- 信号处理 信号处理
背景情况:
- 心电图 (PCG) 信号包含有关心脏功能的重要信息,包括心率 (HR) 和心脏声.
- 准确的HR估计和了解的严重程度对于临床诊断至关重要,特别是在紧急情况下.
研究的目的:
- 开发一个简单的框架,用PCG信号来估计HR.
- 通过能量比率 (ER) 量化,调查声严重程度与HR之间的关联.
- 分析语对HR估计的影响.
主要方法:
- 使用最大重叠离散波段转换 (MODWT) 预处理信号,以隔离心脏声音的声.
- 使用物流功能来获得用于HR检测的增强PCG包裹.
- 在PCG封面上使用交叉协方差自相关函数来计算HR.
- 使用能量比率 (ER) 量化声的严重程度,以评估对心脏声音叠加的声能量.
主要成果:
- 从PCG信号中成功开发了一个用于HR估计的新型框架.
- 轻度声 (低ER) 与HR没有显著关联 (p值=0.846).
- 中度至重度的声与HR显著相关 (p值 = 0.0002),随着ER的增加,HR下降.
结论:
- 开发的框架提供了一种可靠的方法,用于PCG的HR估计.
- 耳的严重程度,特别是中度至重度的病例,显著影响HR,提供了有价值的临床见解.
- 这些发现与医疗专业人员有关,有助于紧急部门的评估.
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