Ubiquitous blood pressure monitoring using EEG and PPG signals

Ying Lu, Heng Peng, Jiwei Zhao, Ziming Deng, Zijian Huang, Jinchuan Zhang, Jian Deng, Zhiyong Wang, Chuanmin Wei

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

Abstract

The Vita-H1 system represents an innovative way of accurately predicting systolic and diastolic blood pressures using PPG and ECG signals. As a cuff-less system, Vita-H1 allows convenient continuous BP monitoring throughout the day. Based on a test set of 90 people, the mean absolute bias for SBP (|H1 - true|) is 5.4mmHg and for DBP is 4.4mmHg, which complies with the IEEE1708-2014standard (MAD<=7mmHg). The Vita-H1 combines big data analytics based on a large training data and individual predictive analytics based on individual caliber data. The big data analytic is performed on a remote server and the results are downloaded to the smart-phone app. Individual updates can be computed off-line and real-time on the smart-phone.

Original languageEnglish (US)
Title of host publicationUbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers
PublisherAssociation for Computing Machinery, Inc
Pages257-260
Number of pages4
ISBN (Electronic)9781450351904
DOIs
StatePublished - Sep 11 2017
Event2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and ACM International Symposium on Wearable Computers, UbiComp/ISWC 2017 - Maui, United States
Duration: Sep 11 2017Sep 15 2017

Publication series

NameUbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers

Other

Other2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and ACM International Symposium on Wearable Computers, UbiComp/ISWC 2017
CountryUnited States
CityMaui
Period9/11/179/15/17

Keywords

  • Cloud computing
  • Cuff-less blood pressure (BP)
  • Internet of things
  • Pulse transmit time
  • Pulse wave velocity (PWV)
  • Supervised learning
  • Ubiquitous sensing
  • Wearable computing

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

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