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基于毫米波雷达的心房颤动检测

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提出一种基于毫米波雷达的非接触式实时心房颤动检测技术。首先使用60 GHz的PCR毫米波雷达持续采集目标对象的胸部回波信号,然后通过I-Q解调生成I-Q信号,接着基于有效点相位趋势评估法提取信号相位信息并获得微动信号,再经过数字滤波提取呼吸信号和心动信号,通过特征提取获得心脏运动特征,最后基于时域房颤波特征判断房颤发生情况。本研究的创新性主要体现在:为提取更精确的信号相位信息,提出有效点相位趋势评估法;为实现实时房颤检测,提出时域房颤判别方法。实验结果表明本研究的心房颤动检测系统对临床患者的房颤检测准确率达99。2%。
Atrial fibrillation detection using millimeter-wave radar
A novel technology is proposed for non-contact and real-time detection of atrial fibrillation using millimeter-wave radar.A 60 GHz PCR millimeter wave radar is used to continuously detect the chest echo signal of the subject.After signal acquisition,I-Q signal is generated through I-Q demodulation,and the signal phase information is extracted using effective points phase trend evaluation for obtaining the signals from oscillations in the chest wall,from which the respiratory signals and cardiac signals are extracted through digital filtering for the analysis of cardiac movement.Whether the atrial fibrillation occurs or not is determined by the characteristics of atrial fibrillation wave in the time domain.The effective points phase trend evaluation for extracting more accurate signal phase information and the time-domain method for real-time atrial fibrillation detection are the innovations of the study.The experimental results show that the proposed method achieves a detection accuracy of 99.2%in clinic.

atrial fibrillationmillimeter-wave radarsignal processingnon-contactreal-time

周恒骥、杨亦含、胡元会、褚瑜光、寿鑫甜、尤雅萍、薛文静、范少玮、王勇、沈会良

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浙江大学工程师学院,浙江杭州 315000

中国中医科学院广安门医院心血管科,北京 100053

北京中医药大学研究生院,北京 100029

房颤 毫米波雷达 信号处理 非接触 实时

中央级公益性科研院所基本科研业务费专项首都卫生发展科研专项浙江省协同感知与自主无人系统重点实验室项目

ZZ17-XRZ-029首发2022-1-4153

2024

中国医学物理学杂志
南方医科大学,中国医学物理学会

中国医学物理学杂志

CSTPCD
影响因子:0.483
ISSN:1005-202X
年,卷(期):2024.41(1)
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