一个多波长光电脉学数据集,含有血压和心率参考测量
Elisabetta Leogrande1, Chiara Botrugno1, Giulio Trono2,3
1Department of Electrical and Information Engineering, Polytechnic University of Bari, Bari, 70126, Italy.
Data in brief
|December 9, 2025
概括
这项研究引入了用于估计血压的光聚血学 (PPG) 信号的新数据集. 这些数据支持为可穿戴健康技术开发先进的心血管监测.
科学领域:
- 生物医学工程 生物医学工程
- 生理信号处理 生理信号处理
- 可穿戴的健康技术
背景情况:
- 摄影透视镜 (PPG) 是一种非侵入性的光学技术,用于检测组织微血管床中的血液体积变化.
- 精确的血压监测对于管理心血管健康至关重要,但目前的方法可能是繁的.
- 基于PPG的血压估计为持续无袖监测提供了一个有希望的途径,特别是在可穿戴设备中.
研究的目的:
- 为了呈现一种新的,高质量的数据集,同时测量PPG和血压.
- 促进对心血管健康的PPG信号分析的研究和开发.
- 支持在可穿戴技术中使用PPG信号进行血压估计的强大算法.
主要方法:
- 使用MAX86150EVSYS多波长光学传感器 (红色和红外波长) 采集来自127名坐着的受试者的PPG信号,频率为100Hz.
- 采集参考心压和心率,使用商用血压计.
- 实施标准化协议,尽量减少运动工件,以确保信号完整性,并获得机构道德委员会批准.
主要成果:
- 成功编制了一个包括同步PPG波形和参考血压/心率值在内的综合数据集.
- 该数据集具有高质量的信号,适合高级生理学建模和算法开发.
- 数据是在受控条件下收集的,遵守道德准则和知情同意.
结论:
- 本文所介绍的数据集是促进非侵入性血压估计研究的宝贵资源.
- 它将加速开发用于心血管监测的复杂PPG信号分析技术.
- 预计这一资源将对下一代可穿戴健康技术的创新作出重大贡献.
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