Publications

Detecting disordered breathing and limb movement using in-bed force sensors

Publication Type Journal Article
Authors Daniel Waltisberg, Oliver Amft, Daniel Brunner, Gerhard Troester
Title Detecting disordered breathing and limb movement using in-bed force sensors
Abstract We present and evaluate measurement fusion and decision fusion for recognising apnea and periodic limb movement in sleep episodes. We used an in-bed sensor system composed of an array of strain gauges to detect pressure changes corresponding to respiration and body movement. The sensor system was placed under the bed mattress during sleep and continuously recorded pressure changes. We evaluated both fusion frameworks in a study with nine adult participants that had mixed occurrences of normal sleep, apnea, and periodic limb movement. Both frameworks yielded similar recognition accuracies of 72.1+-~12% compared to 63.7+-17.4% for a rulebased detection reported in literature. We concluded that pattern recognition methods can outperform previous rule-based detection methods for classifying disordered breathing and period limb movements simultaneously.
Publication IEEE Journal of Biomedical and Health Informatics
Volume 21
Issue 4
Pages 2168-2194
Date 2017
Journal Abbr IEEE J Biomed Health Inform
Language ENG
DOI 10.1109/JBHI.2016.2549938
ISSN 2168-2208
Library Catalog PubMed
Extra PMID: 27076472
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Friedrich-Alexander-Universität Erlangen-Nürnberg