Sleep Apnea Syndrome Detection Techniques Using ECG Signal Recordings – A Survey Approach
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 10
Abstract
A type of sleep disorder or syndrome which is characterized by the breaks in respiratory breathing process or occurrences of uncommon or superficial breathing during sleep is called sleep apnea disorder. Since for the last few years various signals [such as Polysomnographic signals, EEG signals, Respiratory signals, ECG signals etc] have been used for the detection of sleep apnea syndrome or disorder. But ECG signal recordings have been found effective and efficient for the diagnosis process. Various models and algorithms have been developed using ECG signal recordings to detect sleep apnea disorder. This paper focus on the survey of different techniques developed to detect sleep apnea disorder and a comparative analysis has been prepared between the different techniques used.
Authors and Affiliations
Rishika Kaloniya, Pooja Sabherwal
Keywords
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