Assessing the severity of sleep apnea syndrome based on ballistocardiogram

Zhu Wang, Xingshe Zhou, Weichao Zhao, Fan Liu, Hongbo Ni, Zhiwen Yu

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

Sleep Apnea Syndrome (SAS) is a common sleep-related breathing disorder, which affects about 4-7% males and 2-4% females all around the world. Different approaches have been adopted to diagnose SAS and measure its severity, including the gold standard Polysomnography (PSG) in sleep study field as well as several alternative techniques such as singlechannel ECG, pulse oximeter and so on. However, many shortcomings still limit their generalization in home environment. In this study, we aim to propose an efficient approach to automatically assess the severity of sleep apnea syndrome based on the ballistocardiogram (BCG) signal, which is non-intrusive and suitable for in home environment.

Original languageEnglish
Article numbere0175351
JournalPLoS ONE
Volume12
Issue number4
DOIs
StatePublished - Apr 2017

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