Abstract
In this paper, a non-contact calibration-free blood pressure (BP) estimation method using dual radar is proposed. 13 features are extracted from the radar-captured chest pulse and wrist pulse, which will be fed into the proposed artificial neural network for the calibration-free blood pressure estimation. A non-contact database containing 27 subjects is established to enhance the robustness of the model. The results of the experiments reveal that the proposed method can perform non-contact estimation accurately and attain grade B for systolic blood pressure (SBP) estimation and almost grade A for diastolic blood pressure (DBP) estimation according to the British Hypertension Society standard. © 2022 IEEE.
| Original language | English |
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| Title of host publication | 2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC) |
| Publisher | IEEE |
| Pages | 186-188 |
| ISBN (Electronic) | 9781665423403, 978-1-6654-2339-7 |
| ISBN (Print) | 978-1-6654-2341-0 |
| DOIs | |
| Publication status | Published - 2022 |
| Externally published | Yes |
| Event | 2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC 2022) - Virtual, Suzhou, China Duration: 16 May 2022 → 18 May 2022 https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9790154 https://www.nusri.cn/IMBioC2022/index.html |
Publication series
| Name | IEEE MTT-S International Microwave Biomedical Conference, IMBioC |
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Conference
| Conference | 2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC 2022) |
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| Abbreviated title | IEEE IMBioC 2022 |
| Country/Territory | China |
| City | Suzhou |
| Period | 16/05/22 → 18/05/22 |
| Internet address |
Research Keywords
- artificial neural network
- blood pressure estimation
- continuous-wave radar
- Non-contact measurement