向非侵入性评估的动脉硬性:回归建模从辐射-骨脉冲波特征的回归建模
IEEE journal of biomedical and health informatics
|December 8, 2025
概括
研究人员开发了一种新方法,使用可访问的脉冲波测量来估计心血管健康. 这种方法使无创性可穿戴设备能够持续监测动脉硬和心血管疾病风险.
科学领域:
- 生物医学工程 生物医学工程
- 心血管研究研究心血管研究
- 医疗器械开发 医疗器械开发
背景情况:
- 心血管疾病 (CVD) 是全球主要的死亡原因.
- 脉冲波速度 (PWV) 是动脉硬和心血管疾病风险的关键指标.
- 目前的PWV测量方法需要进入动脉和大腿动脉,这阻碍了可穿戴应用.
研究的目的:
- 开发一个回归算法,从可访问的脉冲波信号来预测动骨PWV.
- 通过可穿戴技术实现持续的,非侵入性的血管健康监测.
- 克服传统的PWV测量站点的局限性,以便在家进行监测.
主要方法:
- 脉冲波信号从可访问的位置获取:大动脉,半径动脉和动脉.
- 一个回归算法被用来预测动脉-股骨PWV.
- 这项研究涉及90名康迪奥洛癌症研究所的健康志愿者.
主要成果:
- 带-辐射模型实现了平均误差 (ME) <0.1 m/s和标准偏差误差 (SDE) <1 m/s.
- 辐射-骨模型显示了类似的ME和SDE<0.9 m/s.
- 开发的模型显示了PWV的强大预测准确性.
结论:
- 拟议的方法使用可访问的身体部位的脉冲波准确预测PWV.
- 这种方法对开发可穿戴设备进行持续的血管健康监测具有重大前景.
- 这些发现支持未来对非侵入性心血管疾病风险评估的临床实施.
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