BreathSens: A Continuous On-Bed Respiratory Monitoring System with Torso Localization Using an Unobtrusive Pressure Sensing Array

Jason J. Liu, Ming Chun Huang, Wenyao Xu, Xiaoyi Zhang, Luke Stevens, Nabil Alshurafa, Majid Sarrafzadeh

Research output: Contribution to journalArticle

26 Scopus citations

Abstract

The ability to continuously monitor respiration rates of patients in homecare or in clinics is an important goal. Past research showed that monitoring patient breathing can lower the associated mortality rates for long-term bedridden patients. Nowadays, in-bed sensors consisting of pressure sensitive arrays are unobtrusive and are suitable for deployment in a wide range of settings. Such systems aim to extract respiratory signals from time-series pressure sequences. However, variance of movements, such as unpredictable extremities activities, affect the quality of the extracted respiratory signals. BreathSens, a high-density pressure sensing system made of e-Textile, profiles the underbody pressure distribution and localizes torso area based on the high-resolution pressure images. With a robust bodyparts localization algorithm, respiratory signals extracted from the localized torso area are insensitive to arbitrary extremities movements. In a study of 12 subjects, BreathSens demonstrated its respiratory monitoring capability with variations of sleep postures, locations, and commonly tilted clinical bed conditions.

Original languageEnglish (US)
Article number6869013
Pages (from-to)1682-1688
Number of pages7
JournalIEEE Journal of Biomedical and Health Informatics
Volume19
Issue number5
DOIs
StatePublished - Sep 1 2015

Keywords

  • Pictorial structure
  • pressure sensor
  • respiration monitoring
  • signal extraction

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Health Information Management

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