多信号采集系统用于连续监测血压
Naiwen Zhang1, Yu Zhang1, Jintao Chen1
1School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen 518060, China.
Sensors (Basel, Switzerland)
|September 27, 2025
概括
这项研究介绍了一种使用心电图 (ECG),光电心电图 (PPG) 和阻抗心脏图 (ICG) 信号的持续血压 (BP) 监测的新系统. 综合方法准确估计血压,为心血管疾病预防提供了切实可行的解决方案.
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
- 信号处理 信号处理
背景情况:
- 持续监测血压对于检测和预防高血压等心血管疾病至关重要.
- 整合多个生理信号 (ECG,PPG,ICG) 可以提高BP估计的准确性,但系统复杂性和特征提取是挑战.
- 目前关于BP监测多信号集成的研究有限,技术处于早期发展阶段.
研究的目的:
- 开发一个紧而高效的BP监测系统,能够同步获取和处理ECG,PPG和ICG信号.
- 用开发的多信号系统评估BP估计的准确性.
- 确定最佳特征和模型,以提高BP预测的准确性.
主要方法:
- 开发了一种具有优化电路设计的BP监控系统,允许共享ECG和ICG模块的电极,减少复杂性.
- 通过同步获取40名健康受试者的ECG,PPG和ICG信号 (共400分钟的数据,4390条记录).
- 使用脉冲波分析功能与XGBoost模型结合用于BP估计.
主要成果:
- 综合系统在血压估计中取得了高准确性:平均绝对误差为3.76 ± 3.98 mmHg的缩血压和2.71 ± 2.57 mmHg的腹缩血压.
- 根据英国高血压协会 (BHS) 的指导方针,BP估计性能达到A级标准.
- 结果与现有的多信号BP监测研究相当或超过.
结论:
- 拟议的系统为持续的BP监测提供了一个高效和实用的解决方案.
- 将脉冲波分析功能与XGBoost模型相结合,显著提高了BP预测的准确性.
- 多信号方法证明了改善心血管疾病管理的潜力.
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