Zhang Jinhui, Zhang Xinyue, Mu Wenyao, Jiang Xikang, Yang Ni, Li Lei
Logistic Support Center, Chinese PLA General Hospital, Beijing, 100853.
School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, 100876.
Zhongguo Yi Liao Qi Xie Za Zhi. 2022 Sep 30;46(5):481-484. doi: 10.3969/j.issn.1671-7104.2022.05.002.
Non-contact continuous blood pressure monitoring is significant in vital sign monitoring. Frequency modulated continuous wave (FMCW) radar is suitable for non-contact wave signal extraction. A heartbeat-guided blood pressure monitoring algorithm using FMCW radar is proposed.
The target heart rate is detected and pulse wave signal is extracted based on FMCW reflected signals. The variational mode decomposition (VMD) is introduced to alleviate the interferences of human breath and slight body movements. The pulse wave signal is extracted based on target heart rate. Blood pressure related features of pure pulse waveform are extracted to obtain blood pressure based on its estimation model.
Experiments are conducted indoor among 15 participants sitting in a nature state. The average accuracy of diastolic blood pressure (DBP) is 94.3% and that of systolic blood pressure is 94.4%.
The experimental results demonstrate the robustness and effectiveness of the proposed algorithm, which makes it possible to further achieve long-term real-time non-contact blood pressure monitoring.
非接触式连续血压监测在生命体征监测中具有重要意义。调频连续波（FMCW）雷达适用于非接触式波信号提取。提出了一种使用FMCW雷达的心跳引导血压监测算法。
基于FMCW反射信号检测目标心率并提取脉搏波信号。引入变分模态分解（VMD）以减轻人体呼吸和轻微身体运动的干扰。基于目标心率提取脉搏波信号。提取纯脉搏波形的血压相关特征，并基于其估计模型获得血压。
在室内对15名自然状态下坐着的参与者进行了实验。舒张压（DBP）的平均准确率为94.3%，收缩压的平均准确率为94.4%。
实验结果证明了所提算法的鲁棒性和有效性，这使得进一步实现长期实时非接触血压监测成为可能。
