DocumentCode :
385542
Title :
Automated detection of respiratory phenotypes during sleep
Author :
Schneider, H. ; Patil, Sumit Prakash ; Wagner, Michael ; Smith, P.L. ; Schwartz, A.R.
Author_Institution :
Div. of Pulmonary Medicine, Johns Hopkins Univ., Baltimore, MD, USA
Volume :
2
fYear :
2002
fDate :
2002
Firstpage :
1546
Abstract :
We hypothesized that normal individuals can be distinguished on the basis of specific respiratory phenotypes during sleep that determine one´s susceptibility to the development of obstructive sleep apnea. To test this hypothesis, methods have been developed to 1) rapidly assess baseline upper airway and respiratory timing characteristics and compensatory responses in these parameters to experimentally induced upper airway obstruction during sleep in normal individuals, and 2) automate the detection of the respiratory pattern and the presence of flow limitation during these experimentally induced upper airway obstructions. We demonstrated that: (1) marked variability in the responses to upper airway obstruction exist among normal individuals, and that (2) upper airway collapsibility (critical pressure) is modulated dynamically by a number of reflex neuromuscular responses triggered by breathing through an obstructed upper airway. Moreover, (3) our methods allowed us to assess the relative strength of compensatory neuromuscular responses to upper airway obstruction in normal individuals. Our findings indicate that the normal individual´s susceptibility to the development of upper airway obstruction during sleep is determined by the passive upper airway properties and/or by a lack of vigorous compensatory neuromuscular responses.
Keywords :
diseases; medical signal detection; muscle; neurophysiology; pneumodynamics; sleep; baseline upper airway; breathing; compensatory neuromuscular responses; compensatory responses; critical pressure; flow limitation; normal individuals; obstructed upper airway; obstructive sleep apnea; passive upper airway properties; reflex neuromuscular responses; respiratory pattern detection; respiratory phenotype automated detection; respiratory timing characteristics; sleep; upper airway collapsibility; upper airway obstruction; Muscles; Neuromuscular; Particle measurements; Pharynx; Protocols; Resistors; Sleep apnea; Steady-state; Testing; Ventilation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
ISSN :
1094-687X
Print_ISBN :
0-7803-7612-9
Type :
conf
DOI :
10.1109/IEMBS.2002.1106529
Filename :
1106529
Link To Document :
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