FMCW-based contactless heart rate monitoring
Abstract Heart disease is a significant global health issue. Traditional methods for heart rate monitoring typically require close physical contact, which limits the continuity and convenience of monitoring. To achieve real-time, non-contact heartbeat monitoring, researchers have introduced millimet...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-86438-5 |
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| author | Zhanjun Hao Yifei Gao Yangyang Tang Yue Wang Kai Fan Fenfang Li |
| author_facet | Zhanjun Hao Yifei Gao Yangyang Tang Yue Wang Kai Fan Fenfang Li |
| author_sort | Zhanjun Hao |
| collection | DOAJ |
| description | Abstract Heart disease is a significant global health issue. Traditional methods for heart rate monitoring typically require close physical contact, which limits the continuity and convenience of monitoring. To achieve real-time, non-contact heartbeat monitoring, researchers have introduced millimeter-wave radar technology. The technology’s penetration and privacy offer a potential solution for heart condition monitoring. Therefore, this study utilized frequency-modulated continuous wave (FMCW) radar for heart rate monitoring. Firstly, the collected millimeter-wave radar signals were preprocessed to accurately locate the area of cardiac activity in the human body. Secondly, an adaptive variational mode decomposition (A-VMD) algorithm was designed to extract the heartbeat signal, considering signal variations caused by random body movements and respiration and their harmonics, to obtain an accurate heartbeat signal. Finally, the accurate heart rate is obtained by weighted estimation based on the harmonic relationship of the heartbeat signal. The study invited ten subjects to participate in the experiment to verify the effectiveness of this method. The results show that this method can reduce the influence of and random body movements and respiration and harmonics on heart rate monitoring, the average absolute error of heart rate estimation is less than four bpm. |
| format | Article |
| id | doaj-art-1f156eeb4a3346cb814f8c4b098db31d |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-1f156eeb4a3346cb814f8c4b098db31d2025-01-26T12:33:33ZengNature PortfolioScientific Reports2045-23222025-01-0115112010.1038/s41598-025-86438-5FMCW-based contactless heart rate monitoringZhanjun Hao0Yifei Gao1Yangyang Tang2Yue Wang3Kai Fan4Fenfang Li5College of Computer Science and Engineering, Northwest Normal UniversityCollege of Computer Science and Engineering, Northwest Normal UniversityCollege of Computer Science and Engineering, Northwest Normal UniversityCollege of Computer Science and Engineering, Northwest Normal UniversityCollege of Computer Science and Engineering, Northwest Normal UniversityCollege of Computer Science and Engineering, Northwest Normal UniversityAbstract Heart disease is a significant global health issue. Traditional methods for heart rate monitoring typically require close physical contact, which limits the continuity and convenience of monitoring. To achieve real-time, non-contact heartbeat monitoring, researchers have introduced millimeter-wave radar technology. The technology’s penetration and privacy offer a potential solution for heart condition monitoring. Therefore, this study utilized frequency-modulated continuous wave (FMCW) radar for heart rate monitoring. Firstly, the collected millimeter-wave radar signals were preprocessed to accurately locate the area of cardiac activity in the human body. Secondly, an adaptive variational mode decomposition (A-VMD) algorithm was designed to extract the heartbeat signal, considering signal variations caused by random body movements and respiration and their harmonics, to obtain an accurate heartbeat signal. Finally, the accurate heart rate is obtained by weighted estimation based on the harmonic relationship of the heartbeat signal. The study invited ten subjects to participate in the experiment to verify the effectiveness of this method. The results show that this method can reduce the influence of and random body movements and respiration and harmonics on heart rate monitoring, the average absolute error of heart rate estimation is less than four bpm.https://doi.org/10.1038/s41598-025-86438-5Millimeter waveVital signsBandpass filteringHeartbeat signals |
| spellingShingle | Zhanjun Hao Yifei Gao Yangyang Tang Yue Wang Kai Fan Fenfang Li FMCW-based contactless heart rate monitoring Scientific Reports Millimeter wave Vital signs Bandpass filtering Heartbeat signals |
| title | FMCW-based contactless heart rate monitoring |
| title_full | FMCW-based contactless heart rate monitoring |
| title_fullStr | FMCW-based contactless heart rate monitoring |
| title_full_unstemmed | FMCW-based contactless heart rate monitoring |
| title_short | FMCW-based contactless heart rate monitoring |
| title_sort | fmcw based contactless heart rate monitoring |
| topic | Millimeter wave Vital signs Bandpass filtering Heartbeat signals |
| url | https://doi.org/10.1038/s41598-025-86438-5 |
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