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UWB-enabled Sensing for Fast and Effortless Blood Pressure Monitoring

Authors:

Junqi MaAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 8, Issue 2

Article No.: 65, Pages 1 - 26

https://doi.org/10.1145/3659617

Published: 15 May 2024 Publication History

Abstract

Blood Pressure (BP) is a critical vital sign to assess cardiovascular health. However, existing cuff-based and wearable-based BP measurement methods require direct contact between the user's skin and the device, resulting in poor user experience and limited engagement for regular daily monitoring of BP. In this paper, we propose a contactless approach using Ultra-WideBand (UWB) signals for regular daily BP monitoring. To remove components of the received signals that are not related to the pulse waves, we propose two methods that utilize peak detection and principal component analysis to identify aliased and deformed parts. Furthermore, to extract BP-related features and improve the accuracy of BP prediction, particularly for hypertensive users, we construct a deep learning model that extracts features of pulse waves at different scales and identifies the different effects of features on BP. We build the corresponding BP monitoring system named RF-BP and conduct extensive experiments on both a public dataset and a self-built dataset. The experimental results show that RF-BP can accurately predict the BP of users and provide alerts for users with hypertension. Over the self-built dataset, the mean absolute error (MAE) and standard deviation (SD) for SBP are 6.5 mmHg and 6.1 mmHg, and the MAE and SD for DBP are 4.7 mmHg and 4.9 mmHg.

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Index Terms

UWB-enabled Sensing for Fast and Effortless Blood Pressure Monitoring
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing systems and tools

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 8, Issue 2

June 2024

1330 pages

EISSN:2474-9567

DOI:10.1145/3665317

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Published: 15 May 2024

Published in IMWUT Volume 8, Issue 2

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https://dl.acm.org/doi/10.1145/3699793
Hu QZhang QLu HWu SZhou YHuang QChen HChen YZhao N(2024)Contactless Arterial Blood Pressure Waveform Monitoring with mmWave RadarProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997818:4(1-29)Online publication date: 21-Nov-2024
https://dl.acm.org/doi/10.1145/3699781
Li BRen YWang YYang J(2024)SpaceBeat: Identity-aware Multi-person Vital Signs Monitoring Using Commodity WiFiProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785908:3(1-23)Online publication date: 9-Sep-2024
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