Continuous blood pressure monitoring using low-cost motion sensors on AR/VR headsets

Tianming Zhao, Zhengkun Ye, Tianfang Zhang, Cong Shi, Ahmed Tanvir Mahdad, Yan Wang, Yingying Chen, Nitesh Saxena

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Augmented reality/Virtual reality (AR/VR) industry has ushered in a period of rapid development. The next decade leaves a massive imagination for AR/VR in terms of end product form, software, content, applications, and user increment. The AR & VR technology offers a gazillion of possibilities for smart healthcare. In this poster, we develop an innovative continuous blood pressure (CBP) estimation system leveraging the built-in motion sensors of AR/VR headsets for users. We design a deep learning-based PPG construction scheme using the motion sensor-based cardiac signal and estimate the continuous blood pressure using the regression model. Our experimental results show that our system can continuously estimate both systolic blood pressure (SBP) and diastolic blood pressure (DBP) with a mean error of less than 4 mmHg and 0.9 mmHg respectively within a day.

Original languageEnglish (US)
Title of host publicationMobiSys 2022 - Proceedings of the 2022 20th Annual International Conference on Mobile Systems, Applications and Services
PublisherAssociation for Computing Machinery, Inc
Pages589-590
Number of pages2
ISBN (Electronic)9781450391856
DOIs
StatePublished - Jun 27 2022
Externally publishedYes
Event20th ACM International Conference on Mobile Systems, Applications and Services, MobiSys 2022 - Portland, United States
Duration: Jun 27 2022Jul 1 2022

Publication series

NameMobiSys 2022 - Proceedings of the 2022 20th Annual International Conference on Mobile Systems, Applications and Services

Conference

Conference20th ACM International Conference on Mobile Systems, Applications and Services, MobiSys 2022
Country/TerritoryUnited States
CityPortland
Period6/27/227/1/22

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications

Keywords

  • AR/VR headsets
  • continuous blood pressure monitoring

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