地震心脏学猪低血压数据集用于信号质量索引和验证的心脏时间
Michael J Cho1, Cem O Yaldiz2, Afra Nawar2
1Georgia Institute of Technology - Inan Research Lab - Faculty of Electrical and Computer Engineering, 85 Fifth Street NW Atlanta, Atlanta, Georgia, 30308, USA. mcho314@gatech.edu.
Scientific data
|February 11, 2026
概括
我们创建了一个开源工具,以改善地震心电图 (SCG) 信号注释. 这种增强的数据集有助于开发更好的心脏监测和诊断工具.
科学领域:
- 生物医学信号处理
- 心血管生理学心血管生理学
- 医疗信息学 医疗信息学
背景情况:
- 地震心脏图 (SCG) 可以捕捉心脏机制,但容易产生噪音.
- 现有的SCG分析自动化方法缺乏足够高质量的注释数据来验证.
- 标准化数据集对于推进SCG信号处理和诊断应用至关重要.
研究的目的:
- 开发一个开源的图形用户界面 (GUI),简化SCG信号的手动注释.
- 为研究创建一个高质量的,专业注释的SCG数据集.
- 提高SCG数据分析的准确性和效率.
主要方法:
- 开发了一个开源GUI用于SCG信号注释.
- 从猪低血压模型中收集的SCG数据.
- 标注 17,059 SCG 心跳信号质量和心脏时间间隔 (大动脉打开/关闭).
- 评估了注释器间的协议,并与导管测量相关联.
主要成果:
- 在SCG注释方面达成了高水平的注释者间协议.
- 在注释性大动脉打开 (AO) (r=0.926) 和大动脉关闭 (AC) (r=0.911) 和黄金标准测量之间显示出强烈的相关性.
- 创建了一个有价值的,专业注释的SCG数据集.
结论:
- 开发的GUI促进了高效和准确的SCG注释.
- 这一注释数据集显著支持实时心脏监测,消毒和诊断方面的研究.
- 这项工作提高了SCG研究的生物医学信号处理社区的可复制性和可比性.
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