mmBP: contact-free millimetre-wave radar based approach to blood pressure measurement

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

9 Citations (Scopus)

Abstract

Blood pressure (BP) measurement is an indispensable tool in diagnosing and treating many diseases such as cardiovascular failure and stroke. Traditional direct measurement can be invasive, and wearable-based methods may have limitations of discomfort and inconvenience. Contact-free BP measurement has been recently advocated as a promising alternative. In particular, Millimetre-wave (mmWave) sensing has demonstrated its promising potential, however it is confronted with several challenges including noise and vulnerability to human's tiny motions which may occur intentionally and inevitably. In this paper, we propose mmBP, a contact-free mmWave-based BP measurement system with high accuracy and motion robustness. Due to the high frequency and short wavelength, mmWave signals received in the time domain are dramatically susceptible to ambient noise, and deteriorating signal quality. To reduce noise, we propose a novel delay-Doppler domain feature transformation method to exploit mmWave signal's characteristics and features in the delay-Doppler domain to significantly improve signal quality for pulse waveform construction. We also propose a temporal referential functional link adaptive filter leveraging on the periodic and correlation characteristics of pulse waveform signals to alleviate the impact of human's tiny motions. Extensive experiment results achieved by the leave-one-out cross-validation (LOOCV) method demonstrate that mmBP achieves the mean errors of 0.87mmHg and 1.55mmHg for systolic blood pressure (SBP) and diastolic blood pressure (DBP), respectively; and the standard deviation errors of 5.01mmHg and 5.27mmHg for SBP and DBP, respectively.

Original languageEnglish
Title of host publicationSenSys '22
Subtitle of host publicationproceedings of the Twentieth ACM Conference on Embedded Networked Sensor Systems
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages667-681
Number of pages15
ISBN (Electronic)9781450398862
DOIs
Publication statusPublished - 2022
Event20th ACM Conference on Embedded Networked Sensor Systems, SenSys 2022 - Boston, United States
Duration: 6 Nov 20229 Nov 2022

Conference

Conference20th ACM Conference on Embedded Networked Sensor Systems, SenSys 2022
Country/TerritoryUnited States
CityBoston
Period6/11/229/11/22

Bibliographical note

Alternative proceedings title: SenSys '22: proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems

Keywords

  • blood pressure
  • contact-free sensing
  • mmWave

Fingerprint

Dive into the research topics of 'mmBP: contact-free millimetre-wave radar based approach to blood pressure measurement'. Together they form a unique fingerprint.

Cite this