Differential Enhancement Method for Robust and Accurate Heart Rate Monitoring via Microwave Vital Sign Sensing
Noncontact vital sign detection based on microwave sensing has attracted much interest for its important application potential in many fields, especially in the field of healthcare. However, robust and accurate heart rate (HR) tracking remains a challenge due to the tricky and universal respiration...
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Published in | IEEE transactions on instrumentation and measurement Vol. 69; no. 9; pp. 7108 - 7118 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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New York
IEEE
01.09.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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Abstract | Noncontact vital sign detection based on microwave sensing has attracted much interest for its important application potential in many fields, especially in the field of healthcare. However, robust and accurate heart rate (HR) tracking remains a challenge due to the tricky and universal respiration harmonic interference in real scenarios. In this article, a novel method, called differential enhancement (DE), was proposed, which can effectively eliminate the effects of the respiration harmonic interference on HR estimation, including the likely adjacent harmonic interference. The basic idea underlying our proposed method is that the differential operation can significantly enhance the heartbeat components, especially high-order heartbeat harmonics, and it is very useful to locate the true value of HR by combining with the autocorrelation-based periodicity extraction technique. The detailed procedures for performing the DE method were described, which can be simply implemented and have low computational complexity. In addition, a rigorous mathematical analysis was provided for demonstrating the robustness and accuracy of the algorithm. Experimental results with various scenarios validated the performance of the proposed method, and we investigated the HR variability (HRV) monitoring capability of the DE method with a short sliding window length. |
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AbstractList | Noncontact vital sign detection based on microwave sensing has attracted much interest for its important application potential in many fields, especially in the field of healthcare. However, robust and accurate heart rate (HR) tracking remains a challenge due to the tricky and universal respiration harmonic interference in real scenarios. In this article, a novel method, called differential enhancement (DE), was proposed, which can effectively eliminate the effects of the respiration harmonic interference on HR estimation, including the likely adjacent harmonic interference. The basic idea underlying our proposed method is that the differential operation can significantly enhance the heartbeat components, especially high-order heartbeat harmonics, and it is very useful to locate the true value of HR by combining with the autocorrelation-based periodicity extraction technique. The detailed procedures for performing the DE method were described, which can be simply implemented and have low computational complexity. In addition, a rigorous mathematical analysis was provided for demonstrating the robustness and accuracy of the algorithm. Experimental results with various scenarios validated the performance of the proposed method, and we investigated the HR variability (HRV) monitoring capability of the DE method with a short sliding window length. |
Author | Gu, Changzhan Zhang, Wenming Wang, Dong Xiong, Yuyong Peng, Zhike Li, Songxu |
Author_xml | – sequence: 1 givenname: Yuyong surname: Xiong fullname: Xiong, Yuyong email: yy.xiong@sjtu.edu.cn organization: State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China – sequence: 2 givenname: Zhike surname: Peng fullname: Peng, Zhike email: z.peng@sjtu.edu.cn organization: State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China – sequence: 3 givenname: Changzhan surname: Gu fullname: Gu, Changzhan email: changzhan@sjtu.edu.cn organization: MoE Key Laboratory of Artificial Intelligence, AI Institute and MoE Key Laboratory of Design and Electromagnetic Compatibility of High Speed Electronic System, Shanghai Jiao Tong University, Shanghai, China – sequence: 4 givenname: Songxu surname: Li fullname: Li, Songxu email: songxu.li@sjtu.edu.cn organization: State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China – sequence: 5 givenname: Dong surname: Wang fullname: Wang, Dong email: dongwang4-c@sjtu.edu.cn organization: State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China – sequence: 6 givenname: Wenming surname: Zhang fullname: Zhang, Wenming email: wenmingz@sjtu.edu.cn organization: State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China |
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SubjectTerms | Algorithms Differential enhancement (DE) Harmonic analysis Heart beat Heart rate heart rate (HR) variability (HRV) heart rate monitoring Interference Mathematical analysis Microwave filters microwave radar Monitoring Periodic variations Power harmonic filters Respiration respiration harmonic interference Robustness (mathematics) Telemedicine vital sign detection |
Title | Differential Enhancement Method for Robust and Accurate Heart Rate Monitoring via Microwave Vital Sign Sensing |
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