Computer-Assisted Diagnosis of the Sleep Apnea-Hypopnea Syndrome: A Review
Joint Authors
Alvarez-Estevez, Diego
Moret-Bonillo, Vicente
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-33, 33 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-07-21
Country of Publication
Egypt
No. of Pages
33
Main Subjects
Abstract EN
Automatic diagnosis of the Sleep Apnea-Hypopnea Syndrome (SAHS) has become an important area of research due to the growing interest in the field of sleep medicine and the costs associated with its manual diagnosis.
The increment and heterogeneity of the different techniques, however, make it somewhat difficult to adequately follow the recent developments.
A literature review within the area of computer-assisted diagnosis of SAHS has been performed comprising the last 15 years of research in the field.
Screening approaches, methods for the detection and classification of respiratory events, comprehensive diagnostic systems, and an outline of current commercial approaches are reviewed.
An overview of the different methods is presented together with validation analysis and critical discussion of the current state of the art.
American Psychological Association (APA)
Alvarez-Estevez, Diego& Moret-Bonillo, Vicente. 2015. Computer-Assisted Diagnosis of the Sleep Apnea-Hypopnea Syndrome: A Review. Sleep Disorders،Vol. 2015, no. 2015, pp.1-33.
https://search.emarefa.net/detail/BIM-1076483
Modern Language Association (MLA)
Alvarez-Estevez, Diego& Moret-Bonillo, Vicente. Computer-Assisted Diagnosis of the Sleep Apnea-Hypopnea Syndrome: A Review. Sleep Disorders No. 2015 (2015), pp.1-33.
https://search.emarefa.net/detail/BIM-1076483
American Medical Association (AMA)
Alvarez-Estevez, Diego& Moret-Bonillo, Vicente. Computer-Assisted Diagnosis of the Sleep Apnea-Hypopnea Syndrome: A Review. Sleep Disorders. 2015. Vol. 2015, no. 2015, pp.1-33.
https://search.emarefa.net/detail/BIM-1076483
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1076483