声心电图信号数据集与血压测量数据组合在一起
Kasidit Kokkhunthod1, Wongsathon Pathonsuwan1, Talit Jumphoo1
1Institute of Research and Development, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand.
Data in brief
|March 31, 2025
概括
这一数据集将78名参与者的心电图 (PCG) 信号和血压测量数据联系起来. 它支持人工智能开发用于非侵入性血压预测和早期高血压查.
科学领域:
- 心脏病学 心脏病学
- 生物医学工程 生物医学工程
- 医疗信息学 医疗信息学
背景情况:
- 声心图 (PCG) 信号提供了对心血管健康的洞察力.
- 精确的血压监测对于高血压管理至关重要.
- 血压评估的非侵入性方法非常受欢迎.
研究的目的:
- 提供一个全面的数据集,将PCG信号,血压测量和人口统计数据联系起来.
- 促进人工智能模型的开发,以进行非侵入性血压预测.
- 为了研究心脏声学和血液动力学参数之间的关系.
主要方法:
- 从肺部区域采集PCG信号,使用医疗级数字耳语镜.
- 使用自动化血压监测器记录了心压和心压血压.
- 从78名参与者获得的人口统计数据,包括年龄,体重和身高.
主要成果:
- 该数据集包含同步的PCG记录和血压值.
- 为了进行详细的分析,PCG信号被细分为10秒间隔,50%的重叠.
- 这些数据为探索生理参数之间的相关性提供了基础.
结论:
- 这一数据集对于推进人工智能驱动的非侵入性血压监测是有价值的.
- 它支持高血压的早期查和预防策略.
- 该资源促进进一步研究心血管诊断和健康监测.
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