Qiao Jia-Hao, Qi Fu-Gui, Liang Fu-Lai, Ma Jin, Lv Hao, Yu Xiao, Xue Hui-Jun, An Qiang, Yan Ke-Ding, Shi Ding, Qiao Yong-Hui, Wang Jian-Qi, Zhang Yang
Department of Military Biomedical Engineering, Fourth Military Medical University, Xi'an, China.
School of Electronic Information Engineering, Xi'an Technological University, Xi'an, China.
Front Cardiovasc Med. 2022 Dec 13;9:1057195. doi: 10.3389/fcvm.2022.1057195. eCollection 2022.
A contactless multiscale cardiac motion measurement method is proposed using impulse radio ultra-wideband (IR-UWB) radar at a center frequency of 7.29 GHz.
Electrocardiograph (ECG), heart sound, and ultrasound are traditional state-of-the-art heartbeat signal measurement methods. These methods suffer from defects in contact and the existence of a blind information segment during the cardiogram measurement.
Experiments and analyses were conducted using coarse-to-fine scale. Anteroposterior and along-the-arc measurements were taken from five healthy male subjects (aged 25-43) when lying down or prone. In every measurement, 10 seconds of breath-holding data were recorded with a radar 55 cm away from the body surface, while the ECG was monitored simultaneously as a reference.
Cardiac motion detection from the front was superior to that from the back in amplitude. In terms of radar detection angles, the best cardiac motion information was observed at a detection angle of 120°. Finally, in terms of cardiac motion cycles, all the ECG information, as well as short segments of cardiac motion details named blind ECGs segments, were detected.
A contactless and multiscale cardiac motion detection method is proposed with no blind detection of segments during the entire cardiac cycle. This paves the way for a potentially significant method of fast and accurate cardiac disease assessment and diagnosis that exhibits promising application prospects in contactless online cardiac monitoring and in-home healthcare.
提出了一种使用中心频率为7.29 GHz的脉冲无线电超宽带(IR-UWB)雷达的非接触式多尺度心脏运动测量方法。
心电图(ECG)、心音和超声是传统的心跳信号测量方法。这些方法存在接触方面的缺陷,并且在心电图测量过程中存在信息盲区。
采用由粗到细的尺度进行实验和分析。对五名年龄在25至43岁之间的健康男性受试者进行仰卧或俯卧时的前后向和沿弧测量。每次测量时,在距身体表面55厘米处用雷达记录10秒的屏气数据,同时监测心电图作为参考。
从正面检测到的心脏运动幅度优于从背面检测到的。在雷达检测角度方面,在120°检测角度观察到最佳的心脏运动信息。最后,在心脏运动周期方面,检测到了所有的心电图信息以及名为盲心电图段的心脏运动细节短片段。
提出了一种非接触式多尺度心脏运动检测方法,在整个心动周期中不存在段的盲检测。这为一种潜在的快速准确的心脏病评估和诊断方法铺平了道路,该方法在非接触式在线心脏监测和家庭医疗保健中具有广阔的应用前景。