Xuefeng Zhou;Shisheng Guo;Guolong Cui;Meiqiu Jiang;Luyuan Shi
{"title":"An Ingenious Heart Rate Estimation Method in Harmonic Background for FMCW Radar","authors":"Xuefeng Zhou;Shisheng Guo;Guolong Cui;Meiqiu Jiang;Luyuan Shi","doi":"10.1109/TMTT.2024.3430513","DOIUrl":null,"url":null,"abstract":"The practicality of noncontact vital signs monitoring based on frequency-modulated continuous wave (FMCW) radar in fields such as medical care and health services has become increasingly prominent in recent years. This article investigates the issue of heart rate (HR) susceptibility to respiratory harmonics in FMCW radar vital signs detection. We introduce a vital signs model incorporating harmonics and propose a method to estimate HR by enhancing harmonic components. Specifically, singular spectrum analysis (SSA) is initially applied to reconstruct the signal, suppressing noise components. Subsequently, the impact of respiratory harmonics on HR detection is assessed. Based on this evaluation, consideration is given to employing the first-order backward difference and variable harmonic product spectrum (VHPS) to enhance the third harmonic of the heartbeat signal, indirectly obtaining HR. Finally, the effectiveness of the proposed method is validated using real data, achieving an average accuracy of 98.51% in HR detection with a root means square error (RMSE) as low as 1.98 BPM.","PeriodicalId":13272,"journal":{"name":"IEEE Transactions on Microwave Theory and Techniques","volume":"73 2","pages":"1235-1247"},"PeriodicalIF":4.5000,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Microwave Theory and Techniques","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10612260/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
The practicality of noncontact vital signs monitoring based on frequency-modulated continuous wave (FMCW) radar in fields such as medical care and health services has become increasingly prominent in recent years. This article investigates the issue of heart rate (HR) susceptibility to respiratory harmonics in FMCW radar vital signs detection. We introduce a vital signs model incorporating harmonics and propose a method to estimate HR by enhancing harmonic components. Specifically, singular spectrum analysis (SSA) is initially applied to reconstruct the signal, suppressing noise components. Subsequently, the impact of respiratory harmonics on HR detection is assessed. Based on this evaluation, consideration is given to employing the first-order backward difference and variable harmonic product spectrum (VHPS) to enhance the third harmonic of the heartbeat signal, indirectly obtaining HR. Finally, the effectiveness of the proposed method is validated using real data, achieving an average accuracy of 98.51% in HR detection with a root means square error (RMSE) as low as 1.98 BPM.
期刊介绍:
The IEEE Transactions on Microwave Theory and Techniques focuses on that part of engineering and theory associated with microwave/millimeter-wave components, devices, circuits, and systems involving the generation, modulation, demodulation, control, transmission, and detection of microwave signals. This includes scientific, technical, and industrial, activities. Microwave theory and techniques relates to electromagnetic waves usually in the frequency region between a few MHz and a THz; other spectral regions and wave types are included within the scope of the Society whenever basic microwave theory and techniques can yield useful results. Generally, this occurs in the theory of wave propagation in structures with dimensions comparable to a wavelength, and in the related techniques for analysis and design.