Cloud continuous blood pressure measurement method and system based on Elman neural network

• Main Authors: YU JINGTAO, WANG YUEMENG, LANG LIUQI, LIU LIXUN, SI YUJUAN
• Format: Patent
• Language: Chinese; English
• Published: 13.06.2017
• Subjects: DIAGNOSIS; HUMAN NECESSITIES; HYGIENE; IDENTIFICATION; MEDICAL OR VETERINARY SCIENCE; SURGERY

The invention discloses a cloud continuous blood pressure measurement method and system based on an Elman neural network. The method comprises the following steps: S1, obtaining real-time pulse wave signals of a subject through measurement; S2, performing denoising processing on the pulse wave signals; S3, extracting feature points from the denoised pulse wave signals; S4, taking the extracted feature points of the pulse wave signals as input of the Elman neural network, predicting blood pressure value with a well-trained Elman neural network model, and taking obtained prediction values as continuous blood pressure measured values. Based on the Elman neural network, the method can predict the blood pressure values accurately, has better accuracy and stability and can be widely applied to the industry of blood pressure measurement. 本发明公开了基于Elman神经网络的云端连续血压测量方法和系统，包括步骤：S1、测量获得被测者的实时的脉搏波信号；S2、对脉搏波信号进行去噪处理；S3、对去噪后的脉搏波信号进行特征点提取；S4、将提取获得的脉搏波信号的特征点作为Elman神经网络的输入，进行采用训练好的Elman神经网络模型对血压值进行预测，将获得的预测值作为连续血压测量值。本发明基于Elma