Contactless multiscale measurement of cardiac motion using biomedical radar sensor

被引:7
|
作者
Qiao, Jia-hao [1 ,2 ]
Qi, Fu-gui [1 ]
Liang, Fu-lai [1 ]
Ma, Jin [3 ]
Lv, Hao [1 ]
Yu, Xiao [1 ]
Xue, Hui-jun [1 ]
An, Qiang [1 ]
Yan, Ke-ding [2 ]
Shi, Ding [1 ,2 ]
Qiao, Yong-hui [4 ]
Wang, Jian-qi [1 ]
Zhang, Yang [1 ]
机构
[1] Fourth Mil Med Univ, Dept Mil Biomed Engn, Xian, Peoples R China
[2] Xian Technol Univ, Sch Elect Informat Engn, Xian, Peoples R China
[3] Fourth Mil Med Univ, Sch Aerosp Med, Xian, Peoples R China
[4] Zhejiang Univ, State Key Lab Clean Energy Utilizat, Hangzhou, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
radar cardiogram (RCG); cardiac motion; anteroposterior measurements; along-the-arc measurements; diastasis measurement; MICRO-DOPPLER CAPACITY;
D O I
10.3389/fcvm.2022.1057195
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
IntroductionA contactless multiscale cardiac motion measurement method is proposed using impulse radio ultra-wideband (IR-UWB) radar at a center frequency of 7.29 GHz. MotivationElectrocardiograph (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. MethodsExperiments 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. ResultsCardiac 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 degrees. 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. SignificanceA 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.
引用
收藏
页数:13
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