Automatic Sleep Apnea Diagnosis System Using Noninvasive Vital Signals Records
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F05%3A03113272" target="_blank" >RIV/68407700:21230/05:03113272 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Automatic Sleep Apnea Diagnosis System Using Noninvasive Vital Signals Records
Original language description
Sleep Apnea Syndrome (SAS) is a very common sleep disorder. SAS is considered as clinically relevant when the breath stops during more than 10 seconds due to different factors and occurs more than five times per sleep hour. In this paper, we present an automatic approach to sleep apnea classification. This system uses only noninvasive records of the respiratory and cardiac activities (Nasal Airway Flow (NAF) and Pulse Transit Time (PTT)) issued by the technique of PolySomnoGraphy (PSG) are considered for the detection of the different sleep apnea syndromes: obstructive, central and hypopnea. Experimental results using clinical data are presented.
Czech name
Není k dispozici
Czech description
Není k dispozici
Classification
Type
A - Audiovisual production
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
<a href="/en/project/1ET101210512" target="_blank" >1ET101210512: Intelligent methods for evaluation of long-term EEG recordings</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2005
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
ISBN
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Place of publication
Praha
Publisher/client name
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Version
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Carrier ID
neuvedeno