一种基于多参数融合的无袖带式连续血压测量方法的研究

徐志红; 方震; 陈贤祥; 覃力; 杜利东; 赵湛; 刘杰昕

doi:10.11999/JEIT170238

一种基于多参数融合的无袖带式连续血压测量方法的研究

doi: 10.11999/JEIT170238

2.
(中国科学院电子学研究所北京 100190)
3.
(北京天坛医院北京 100050)

基金项目:

国家自然科学基金(61302033)，北京市自然科学基金(Z16003)，国家重点研发计划(2016YFC1304302)

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出版历程
- 收稿日期: 2017-03-24
- 修回日期: 2017-11-27
- 刊出日期: 2018-02-19

Research About Cuff-less Continuous Blood Pressure Estimation by Multi-parameter Fusion Method

2.
(Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China)
3.
(TianTan Hospital, Beijing 100050, China)

Funds:

The National Natural Science Foundation of China (61302033), The Key Project of Beijing Municipal Natural Science Foundation (Z16003), The National Key Research and Development Project (2016YFC1304302)

摘要

摘要: 针对现有基于脉搏波传输时间的无创连续性血压测量算法精度不高的问题，该文综合考虑心电信号和血氧容积波与血压变化的相关性，提出一种基于BP神经网络的无创连续性血压测量方法。该文首先利用改进的心电信号算法提取出心电信号的R点，利用差分、阈值的方法提取出血氧容积波的特征参数，再经过特征解析，提取出与血压相关的15维特征向量，构建基于BP神经网络的血压计算模型，计算出逐拍的血压值。该方法在天坛医院等单位进行了医学临床比对测试，并通过因子分析法分析了15个特征参数的权重比。实验证明：在预测血压上，脉搏波传输时间的权重，大于相邻特征点之间的时间信息权重，大于脉搏波面积信息权重，大于脉搏波幅值信息权重；该方法精度优于其它相近方法，单次测量的舒张压和收缩压误差的平均值标准差分别是-1.576.12 mmHg和-0.624.82 mmHg，重复测量误差的平均值标准差分别是-2.125.10 mmHg和-2.524.41 mmHg。收缩压和舒张压的测量精度均达到了BHS血压标准的Grade A类和AAMI标准。
- 可穿戴式技术 /
- 连续血压 /
- 多参数融合 /
- 神经网络
Abstract: For the problem of noninvasive continuous blood pressure algorithm with un-accuracy, a novel multi- parameter fusion algorithm based on BP neural network is proposed, according to the formation from electrocardiogram and photoplethysmograph of arterial blood pressure. The improved Pan Tompkins algorithm is used to extract the R peak of electrocardiogram, and difference-threshold algorithm is used to extract the features points of photo-plethysmograph, and the fifteen feature parameters relative to blood pressure are extracted and used to establish the model of blood pressure to estimate the beat-to-beat systolic blood pressure and diastolic blood pressure. The factor analysis method is used to analyze the weight of each parameter. The results show that the weight order is pulse transit time, time information, photoplethysmography area information, amplitude information and area ratio. The algorithm is tested in the TianTan Hospital, and the meansstandard difference of single measurement errors are respectively -1.576.12 mmHg and -0.624.82 mmHg, the means standard difference, D. of repeated measurement errors are respectively -2.125.10 mmHg and -2.524.41 mmHg, for systolic blood pressure and diastolic blood pressure. And the measurement accuracy for systolic blood pressure and diastolic blood pressure reaches Grade A of BHS standard and AAMI standard.
- Wearable technology /
- Continuous blood pressure /
- Multi-parameter fusion /
- Neural network

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