Radar Cardiogram Extraction and Respiratory Harmonic Suppression Based on Optimized Feedback Notch Filters

Radar is a valuable tool for noncontact vital-sign detection. Interference from respiratory harmonics presents a major challenge in radar cardiogram (RCG) extraction-mainly when the frequency of respiratory harmonics is close to or equal to that of the cardiac sub-signals. To address this problem, a...

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Published inIEEE access Vol. 12; pp. 32298 - 32307
Main Authors Wang, Yaru, Qiao, Jiahao, Yan, Keding, Shi, Ding, Zhu, Yidan, Wang, Xinyu, Xue, Huijun, Liang, Fulai, Yu, Xiao, Jiao, Teng, Lv, Hao, Wang, Jianqi, Lu, Wenzong, Zhang, Yang
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Biomedical monitoring
Cardiograms
Cardiology
Correlation
Correlation analysis
Feedback
feedback notch filter
genetic algorithm
Genetic algorithms
Harmonic analysis
Harmonics
Heart beat
Location awareness
Notch filters
Power harmonic filters
Radar
radar cardiogram
Radar imaging
respiratory harmonic suppression
Respiratory system
Ultrawideband radar
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Abstract Radar is a valuable tool for noncontact vital-sign detection. Interference from respiratory harmonics presents a major challenge in radar cardiogram (RCG) extraction-mainly when the frequency of respiratory harmonics is close to or equal to that of the cardiac sub-signals. To address this problem, a respiratory harmonic suppression method employing correlation analysis and an optimized feedback notch filter is proposed, which is based on 7.29 GHz center-frequency impulse-radio ultra-wideband radar. A genetic optimization algorithm is employed to optimize the parameters of the notch filter. Performance comparison analysis is conducted on the conventional notch filter and the feedback notch filter. Contact (ECG) and non-contact (RCG) data from 10 subjects were analyzed. The results verified that the performance of the optimized feedback notch filter is much better than that of the conventional notch filter in overshoot, bandwidth, and notch depth, and the proposed method can effectively locate, identify, and suppress respiratory harmonics from the RCG band while preserving heartbeat components. Consequently, this approach markedly enhances the precision of RCG extraction. The technique shows considerable promise for deployment in diverse practical settings, including non-contact auxiliary monitoring systems in both intelligent medical environments and home healthcare.
AbstractList Radar is a valuable tool for noncontact vital-sign detection. Interference from respiratory harmonics presents a major challenge in radar cardiogram (RCG) extraction-mainly when the frequency of respiratory harmonics is close to or equal to that of the cardiac sub-signals. To address this problem, a respiratory harmonic suppression method employing correlation analysis and an optimized feedback notch filter is proposed, which is based on 7.29 GHz center-frequency impulse-radio ultra-wideband radar. A genetic optimization algorithm is employed to optimize the parameters of the notch filter. Performance comparison analysis is conducted on the conventional notch filter and the feedback notch filter. Contact (ECG) and non-contact (RCG) data from 10 subjects were analyzed. The results verified that the performance of the optimized feedback notch filter is much better than that of the conventional notch filter in overshoot, bandwidth, and notch depth, and the proposed method can effectively locate, identify, and suppress respiratory harmonics from the RCG band while preserving heartbeat components. Consequently, this approach markedly enhances the precision of RCG extraction. The technique shows considerable promise for deployment in diverse practical settings, including non-contact auxiliary monitoring systems in both intelligent medical environments and home healthcare.
Author Yan, Keding
Wang, Xinyu
Liang, Fulai
Lv, Hao
Wang, Yaru
Zhu, Yidan
Xue, Huijun
Yu, Xiao
Lu, Wenzong
Wang, Jianqi
Zhang, Yang
Qiao, Jiahao
Shi, Ding
Jiao, Teng
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Snippet Radar is a valuable tool for noncontact vital-sign detection. Interference from respiratory harmonics presents a major challenge in radar cardiogram (RCG)...
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SubjectTerms Algorithms
Biomedical monitoring
Cardiograms
Cardiology
Correlation
Correlation analysis
Feedback
feedback notch filter
genetic algorithm
Genetic algorithms
Harmonic analysis
Harmonics
Heart beat
Location awareness
Notch filters
Power harmonic filters
Radar
radar cardiogram
Radar imaging
respiratory harmonic suppression
Respiratory system
Ultrawideband radar
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Title Radar Cardiogram Extraction and Respiratory Harmonic Suppression Based on Optimized Feedback Notch Filters
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