一个强心电图数据集,同时提供SCG,心声,心电图和呼吸信号
Salvatore Parlato1, Jessica Centracchio2, Eliana Cinotti1
1Department of Electrical Engineering and Information Technologies, University of Naples Federico II, Via Claudio, 21, 80125, Naples, Italy.
Scientific data
|August 6, 2025
概括
FOSTER数据集提供了第一个公开的强心图 (FCG) 和地震心图 (SCG) 信号集合,帮助进行非侵入性心肺呼吸系统监测研究. 这种宝贵的资源支持开发心脏和呼吸系统事件的新诊断工具.
科学领域:
- 生物医学工程 生物医学工程
- 心血管生理学心血管生理学
- 呼吸系统生理学 呼吸系统生理学
背景情况:
- 对心肺呼吸功能进行非侵入性监测对于患者护理至关重要.
- 现有的方法往往缺乏对机械和电气信号的全面同时数据.
- 需要可访问的数据集来推进心脏呼吸系统研究是显著的.
研究的目的:
- 介绍FOSTER数据集,这是第一个同时收集力心电图 (FCG) 和地震心电图 (SCG) 信号的公开数据集.
- 促进使用机械传感器进行非侵入性心肺呼吸监测的研究.
- 支持开发针对心脏和呼吸系统事件的新型诊断工具.
主要方法:
- 收集了力心图 (FCG),地震心图 (SCG),声心图 (PCG),心电图 (ECG) 和呼吸信号的同时记录.
- 从40名参与者 (20名男性,20名女性) 获得的数据,每人记录时间为7分钟.
- 在数据集中包括静静呼吸的阶段和短暂的呼吸暂停 (吸气和呼气).
主要成果:
- 现在FOSTER数据集已公开提供,为研究人员提供了一个独特的资源.
- 该数据集允许精确的时间对齐,以准确分析心肺呼吸信号.
- 它包含了全面的数据,用于探索结合电气和机械心脏监测.
结论:
- 福斯特数据集促进了对心肺呼吸系统患者不显眼监测的进步.
- 它支持开发新的算法来检测心脏和呼吸循环事件.
- 本资源鼓励探索多模式心肺呼吸信号分析.
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