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| 基于ANC与M-DCT的雷达手腕脉搏检测研究 |
| Research on wrist pulse detection using millimeter wave radar based on ANC and M-DCT |
| 投稿时间：2023-10-21 修订日期：2024-02-28 |
| DOI： |
| 中文关键词: 毫米波雷达 人体随机运动 脉搏 自适应噪声抵消 M-DCT |
| 英文关键词: Millimeter wave radar Random movement of the human body Pulse Adaptive noise cancellation M-DCT |
| 基金项目:基于毫米波雷达的生命体征检测关键技术研究(ZD-YG-202317-23) |
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| 中文摘要: |
| 毫米波雷达在对人体胸腹部进行生命体征检测时，因呼吸导致胸腹部大幅度、不规则运动所产生的谐波会影响心跳信号的提取。针对上述问题，文章选择对手腕进行检测并提出一种自适应噪声抵消（Adaptive Noise Cancellation，ANC）与M-DCT（M-point Discrete Cosine Transform）相结合的算法来提取处在随机移动中的手腕脉搏信号频率。该算法先把手腕随机移动信号经过多项式拟合，然后与原信号一起送入自适应滤波器模块中消除噪声信号从而得到心跳信号，最后利用M-DCT提取心跳频率。通过与医用心电仪进行对比实验来验证该方法的有效性。实验结果表明，该方法能够有效消除噪声信号干扰。在不同目标测量实验中，心跳频率平均误差率在1.81%；单一目标多次测量实验中，心跳频率平均误差率在1.83%。 |
| 英文摘要: |
| In the context of detecting vital signs using millimeter wave radar, the large and irregular movements of the chest and abdomen during respiration can introduce harmonics that interfere with the extraction of the heartbeat signal. To overcome this challenge, the article proposes a solution that focuses on detecting the wrist and employs a combination of Adaptive Noise Cancellation and M-DCT algorithms. The algorithm firstly fits a polynomial to the random wrist movement signal, then sends it together with the original signal into the adaptive filter module to eliminate the noise signal to obtain the heartbeat signal, and finally extracts the heartbeat frequency using M-DCT. To validate the effectiveness of the method, comparison experiments were conducted using medical ECG instruments. The experimental results demonstrate that the proposed approach successfully eliminates noise signal interference. The average error rate of heartbeat frequency in measurement experiments involving different targets is recorded at 1.81%. Similarly, in measurement experiments involving multiple measurements of a single target, the average error rate of heartbeat frequency is determined to be 1.83%. |
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