DocumentCode
2820469
Title
Automated detection of obstructive sleep-disordered breathing events using peripheral arterial tonometry and oximetry
Author
Pittman, Sd ; Tal, N. ; Pillar, G. ; Malhotra, A. ; Hilton, Mf ; Fogel, Rb ; Ayas, N. ; White, Dp
Author_Institution
Sleep Disorders Program, Brigham & Women´´s Hosp., Boston, MA, USA
fYear
2000
fDate
2000
Firstpage
485
Lastpage
488
Abstract
Obstructive sleep-disordered breathing events terminate with increased sympathetic nervous system activity that may result in vasoconstriction. Peripheral arterial (PAT) is a non-invasive technique for detecting pulse volume, This study assessed the diagnostic potential of 2-channel recordings (PAT+pulse oximetry) to detect sleep-disordered breathing events and evaluated automated scoring of these respiratory events during known sleep. The authors studied 40 patients referred to the sleep lab with suspected OSA, comparing standard PSG with PAT+oximetry (all data recorded simultaneously). The PSG recordings were scored manually using standard criteria. Respiratory events were also scored using only recordings of PAT and pulse oximetry and an automated detection algorithm yielding a PAT-oximetry index (POI) of sleep disordered breathing. There was a significant correlation between PSG scored respiratory events and the automated POI score during all sleep (R=0.87, p<0.001), NREM sleep (R=0.87, p<0.001), anti REM sleep (R=0.90, p<0.001)
Keywords
haemodynamics; medical signal detection; oximetry; pneumodynamics; sleep; volume measurement; 2-channel recordings; automated detection; automated scoring; diagnostic potential; increased sympathetic nervous system activity; obstructive sleep-disordered breathing events; peripheral arterial tonometry; respiratory events; vasoconstriction; Cardiology; Detection algorithms; Event detection; Fingers; Hospitals; Immune system; Medical diagnostic imaging; Sleep; Sympathetic nervous system; USA Councils;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers in Cardiology 2000
Conference_Location
Cambridge, MA
ISSN
0276-6547
Print_ISBN
0-7803-6557-7
Type
conf
DOI
10.1109/CIC.2000.898563
Filename
898563
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