生物雷达检测中呼吸和心跳实时分离技术的研究

Technique for separating heartbeat and respiration signals from bio-radar output signals

目的:从生物雷达检测到的体动信号中分离出心跳信号。方法:采用自适应噪声抵消模型,基于递归最小二乘算法(recursive-least square,RLS)调整模型的输出,并将分离出的心跳信号与心电信号进行比较。结果:该方法可以从体动信号中分离出心跳信号,而且从心跳信号中提取的心率值与从心电信号提取的心率值具有很强的相关性。结论:基于自适应噪声抵消技术,可以实现生物雷达检测中呼吸和心跳的分离。

Objective To separate the heartbeat signal from the bio-radar output body-movement signal. Methods The adaptive noise canceller （ANC） with recursive-least square （RLS） algorithm was used to separate the heartbeat signal. The heart rate derived from the de-noised heartbeat and the ECG signals was compared with each other. Results The method could separate effectively the heartbeat signals, and the heart rate derived adaptively from the filtered heartbeat signals was strongly correlated with those from the ECG recordings. Conclusion The heartbeat signal can be separated from the body-movement signal using ANC technology. [Chinese Medical Equipment Journal,2014,35（7） ：28-30]