| Literature DB >> 25099893 |
Jason J Liu, Ming-Chun Huang, Wenyao Xu, Xiaoyi Zhang, Luke Stevens, Nabil Alshurafa, Majid Sarrafzadeh.
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.Entities:
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Year: 2014 PMID: 25099893 DOI: 10.1109/JBHI.2014.2344679
Source DB: PubMed Journal: IEEE J Biomed Health Inform ISSN: 2168-2194 Impact factor: 5.772