Contactless and short-range vital signs detection with doppler radar millimetre-wave (76–81 GHz) sensing firmware

IF 2.8 Q3 ENGINEERING, BIOMEDICAL Healthcare Technology Letters Pub Date : 2024-02-27 DOI:10.1049/htl2.12075
Pi-Yun Chen, Hsu-Yung Lin, Zi-Heng Zhong, Neng-Sheng Pai, Chien-Ming Li, Chia-Hung Lin
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Abstract

Vital signs such as heart rate (HR) and respiration rate (RR) are essential physiological parameters that are routinely used to monitor human health and bodily functions. They can be continuously monitored through contact or contactless measurements performed in the home or a hospital. In this study, a contactless Doppler radar W-band sensing system was used for short-range, contactless vital sign estimation. Frequency-modulated continuous wave (FMCW) measurements were performed to reduce the influence of a patient's micromotion. Sensing software was developed that can process the received chirps to filter and extract heartbeat and breathing rhythm signals. The proposed contactless sensing system eliminates the need for the contact electrodes, electric patches, photoelectric sensors, and conductive wires used in typical physiological sensing methods. The system operates at 76–81 GHz in FMCW mode and can detect objects on the basis of changes in frequency and phase. The obtained signals are used to precisely monitor a patient's HR and RR with minimal noise interference. In a laboratory setting, the heartbeats and breathing rhythm signals of healthy young participants were measured, and their HR and RR were estimated through frequency- and time-domain analyses. The experimental results confirmed the feasibility of the proposed W-band mm-wave radar for contactless and short-range continuous detection of human vital signs.

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利用多普勒雷达毫米波(76-81 GHz)传感固件进行非接触式和短距离生命体征检测
心率(HR)和呼吸频率(RR)等生命体征是常规用于监测人体健康和身体机能的基本生理参数。可通过在家中或医院进行的接触式或非接触式测量对它们进行连续监测。在这项研究中,使用了一种非接触式多普勒雷达 W 波段传感系统来进行短距离、非接触式生命体征估计。进行频率调制连续波(FMCW)测量是为了减少病人微动的影响。开发的传感软件可以处理接收到的啁啾信号,过滤并提取心跳和呼吸节奏信号。拟议的非接触式传感系统无需使用典型生理传感方法中使用的接触电极、电贴片、光电传感器和导电线。该系统以 FMCW 模式在 76-81 GHz 下工作,可根据频率和相位的变化探测物体。获得的信号可用于精确监测患者的心率和心律,并将噪声干扰降至最低。在实验室环境中,测量了健康年轻参与者的心跳和呼吸节奏信号,并通过频域和时域分析估算了他们的心率和呼吸频率。实验结果证实了所提出的 W 波段毫米波雷达用于非接触式和短距离连续检测人体生命体征的可行性。
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来源期刊
Healthcare Technology Letters
Healthcare Technology Letters Health Professions-Health Information Management
CiteScore
6.10
自引率
4.80%
发文量
12
审稿时长
22 weeks
期刊介绍: Healthcare Technology Letters aims to bring together an audience of biomedical and electrical engineers, physical and computer scientists, and mathematicians to enable the exchange of the latest ideas and advances through rapid online publication of original healthcare technology research. Major themes of the journal include (but are not limited to): Major technological/methodological areas: Biomedical signal processing Biomedical imaging and image processing Bioinstrumentation (sensors, wearable technologies, etc) Biomedical informatics Major application areas: Cardiovascular and respiratory systems engineering Neural engineering, neuromuscular systems Rehabilitation engineering Bio-robotics, surgical planning and biomechanics Therapeutic and diagnostic systems, devices and technologies Clinical engineering Healthcare information systems, telemedicine, mHealth.
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