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Comput Biol Med. 2009 Nov;39(11):1000-5. doi: 10.1016/j.compbiomed.2009.07.014. Epub 2009 Aug 26.

Intelligent methods for identifying respiratory cycle phases from tracheal sound signal during sleep.

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1
Department of Clinical Neurophysiology, Medical Imaging Centre, Pirkanmaa Hospital District, Tampere, Finland. antti.kulkas@pshp.fi

Abstract

We present two methods for identifying respiratory cycle phases from tracheal sound signal during sleep. The methods utilize the Hilbert transform in envelope extraction. They determine automatically a patient-specific amplitude threshold to be used in the detection. The core of one method is designed to be amplitude-independent whereas the other method uses solely the amplitude information. The methods provided average sensitivities of 98% and 99%, respectively, and positive prediction values of 100% on the total of 1434 respiratory cycles analysed from six different patients. The developed methods seem promising as such or as tools for analysing sleep disordered breathing.

[Indexed for MEDLINE]

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