一个多病理心图数据集用于心脏功能监测和心律失常评估
Jing Zhan1,2, Zhengying Li3,4,5,6, Xiaoyan Wu7,8
1Hubei Key Laboratory of Broadband Wireless Communication and Sensor Networks, School of Information Engineering, Wuhan University of Technology, Wuhan, 430070, Hubei, China.
Scientific data
|June 9, 2025
概括
这项研究引入了用于弹性心脏图 (BCG) 的新数据集,这是监测心脏病如心力衰竭和心律失常等心脏病的非侵入性方法. 这些数据旨在推进远程心血管健康监测.
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:
- 心脏功能障碍需要先进的诊断和治疗策略.
- 目前的监测方法,如心声回声学有局限性,推动了对非侵入性,连续解决方案的需求.
- 弹性心电图 (BCG) 通过检测心脏机械活动通过身体振动提供了一个有前途的非侵入性方法.
研究的目的:
- 为了呈现一个全面的,多病理性心脏弹道图 (BCG) 数据集.
- 促进用于非侵入性心血管监测的先进算法的开发.
- 支持BCG用于诊断和管理心脏病的临床验证.
主要方法:
- 收集了同步弹心图 (BCG),心电图 (ECG) 和M模式心声图数据.
- 包括健康个体和心力衰竭 (HF),心房动 (AF),早发性心室收缩 (PVC) 和早发性心房收缩 (PAC) 患者的记录.
- 确保数据多样性,涵盖各种生理和病理心脏状态.
主要成果:
- 一个新的,多病理的BCG数据集现在可用了.
- 该数据集提供了同步的多模式生理记录.
- 它涵盖了一系列的心血管疾病,从健康到复杂的心律失常和心力衰竭.
结论:
- 提出的BCG数据集是促进非侵入性心血管监测的宝贵资源.
- 它将有助于开发和验证用于远程检测心脏功能障碍的算法.
- 这项工作促进了BCG在诊断和患者管理中的临床实用性.
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