Motion-Tolerant Non-Contact Heart-Rate Measurements from Radar Sensor Fusion
Microwave radar technology is very attractive for ubiquitous short-range health monitoring due to its non-contact, see-through, privacy-preserving and safe features compared to the competing remote technologies such as optics. The possibility of radar-based approaches for breathing and cardiac sensi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-03-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/5/1774 |
| _version_ | 1797414549213675520 |
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| author | Yu Rong Arindam Dutta Alex Chiriyath Daniel W. Bliss |
| author_facet | Yu Rong Arindam Dutta Alex Chiriyath Daniel W. Bliss |
| author_sort | Yu Rong |
| collection | DOAJ |
| description | Microwave radar technology is very attractive for ubiquitous short-range health monitoring due to its non-contact, see-through, privacy-preserving and safe features compared to the competing remote technologies such as optics. The possibility of radar-based approaches for breathing and cardiac sensing was demonstrated a few decades ago. However, investigation regarding the robustness of radar-based vital-sign monitoring (VSM) is not available in the current radar literature. In this paper, we aim to close this gap by presenting an extensive experimental study of vital-sign radar approach. We consider diversity in test subjects, fitness levels, poses/postures, and, more importantly, random body movement (RBM) in the study. We discuss some new insights that lead to robust radar heart-rate (HR) measurements. A novel active motion cancellation signal-processing technique is introduced, exploiting dual ultra-wideband (UWB) radar system for motion-tolerant HR measurements. Additionally, we propose a spectral pruning routine to enhance HR estimation performance. We validate the proposed method theoretically and experimentally. Totally, we record and analyze about 3500 seconds of radar measurements from multiple human subjects. |
| first_indexed | 2024-03-09T05:34:55Z |
| format | Article |
| id | doaj.art-d9a73091ea184d56bff05c7e6e4e4ed7 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T05:34:55Z |
| publishDate | 2021-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-d9a73091ea184d56bff05c7e6e4e4ed72023-12-03T12:29:35ZengMDPI AGSensors1424-82202021-03-01215177410.3390/s21051774Motion-Tolerant Non-Contact Heart-Rate Measurements from Radar Sensor FusionYu Rong0Arindam Dutta1Alex Chiriyath2Daniel W. Bliss3Center for Wireless Information Systems and Computational Architectures (WISCA), School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85281, USACenter for Wireless Information Systems and Computational Architectures (WISCA), School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85281, USACenter for Wireless Information Systems and Computational Architectures (WISCA), School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85281, USACenter for Wireless Information Systems and Computational Architectures (WISCA), School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85281, USAMicrowave radar technology is very attractive for ubiquitous short-range health monitoring due to its non-contact, see-through, privacy-preserving and safe features compared to the competing remote technologies such as optics. The possibility of radar-based approaches for breathing and cardiac sensing was demonstrated a few decades ago. However, investigation regarding the robustness of radar-based vital-sign monitoring (VSM) is not available in the current radar literature. In this paper, we aim to close this gap by presenting an extensive experimental study of vital-sign radar approach. We consider diversity in test subjects, fitness levels, poses/postures, and, more importantly, random body movement (RBM) in the study. We discuss some new insights that lead to robust radar heart-rate (HR) measurements. A novel active motion cancellation signal-processing technique is introduced, exploiting dual ultra-wideband (UWB) radar system for motion-tolerant HR measurements. Additionally, we propose a spectral pruning routine to enhance HR estimation performance. We validate the proposed method theoretically and experimentally. Totally, we record and analyze about 3500 seconds of radar measurements from multiple human subjects.https://www.mdpi.com/1424-8220/21/5/1774radarvital signsrandom body movement cancellationUWBprivacy preserving |
| spellingShingle | Yu Rong Arindam Dutta Alex Chiriyath Daniel W. Bliss Motion-Tolerant Non-Contact Heart-Rate Measurements from Radar Sensor Fusion Sensors radar vital signs random body movement cancellation UWB privacy preserving |
| title | Motion-Tolerant Non-Contact Heart-Rate Measurements from Radar Sensor Fusion |
| title_full | Motion-Tolerant Non-Contact Heart-Rate Measurements from Radar Sensor Fusion |
| title_fullStr | Motion-Tolerant Non-Contact Heart-Rate Measurements from Radar Sensor Fusion |
| title_full_unstemmed | Motion-Tolerant Non-Contact Heart-Rate Measurements from Radar Sensor Fusion |
| title_short | Motion-Tolerant Non-Contact Heart-Rate Measurements from Radar Sensor Fusion |
| title_sort | motion tolerant non contact heart rate measurements from radar sensor fusion |
| topic | radar vital signs random body movement cancellation UWB privacy preserving |
| url | https://www.mdpi.com/1424-8220/21/5/1774 |
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