Automatic snoring detection from nasal pressure data.

Abstract Text

This study presents a method for automatic snoring detection from a nasal pressure data. First, a spectrogram analysis was performed in order to obtain information about the spectral characteristic of nasal pressure data. The automatic method is based on a simple signal filtering and short-time energy technique. Fifteen patients were participated in order to evaluation the performance of the proposed method. Results are compared with manually labeled snoring events by watching video records. The sensitivity and positive predictivity value were 93.73% and 93.70%, respectively. The results in this study could provide sleep experts with the method to objectively monitor sleep-disordered breathing in CPAP system or PSG study.

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2016-09-08 09:42:39

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Citation:- Lee HK, Lee HK, Kim HK, Lee HK, .Automatic snoring detection from nasal pressure data. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference 2013-;201()6870-2 DOI:10.1109/EMBC.2013.6611136

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Details of Journal

Journal Title - Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference

ISSN - 1557-170X

Volume - 201

Issue - 0

Publish date - 2013-

Language - eng

Country - United States


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