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Automated Detection of Sleep Apnea and Hypopnea Events Based on Robust Airflow Envelope Tracking in the Presence of Breathing Artifacts. - [IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS]
Abstract
The paper presents a new approach to detection of apnea/hypopnea events, in the presence of artifacts and breathing irregularities, from a single channel airflow record. The proposed algorithm, based on a robust envelope detector , identifies segments of signal affected by a high amplitude mo d- ulation corresponding to apnea/hypopnea events. It is show n that a robust airflow envelope - free of breathing artifacts - improves effectiveness of the diagnostic process and allow s one to localize the beginning and the end of each episode more accurately. The performance of the proposed approach, eval uated on 30 overnight polysomnographic recordings, was assessed using diagnostic measures such as accuracy, sensitivity specific ity and Cohen’s coefficient of agreement; the achieved levels were e qual to 95 % , 90 % , 96 % and 0.82, respectively. The results suggest that the algorithm may be implemented successfully in porta ble monitoring devices, as well as in software-packages used in sleep laboratories for automated evaluation of sleep apnea/hypo pnea syndrome.
Authors (5)
-
J Drozdowski
- Gdański Uniwersytet Medyczny Katedra Pneumonologii i Alergologii
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/JBHI.2014.2325997
- License
- Copyright (2014 IEEE)
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Details
- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
no. 19,
pages 418 - 429,
ISSN: 1089-7771 - Language:
- English
- Publication year:
- 2015
- Bibliographic description:
- Ciołek M., Niedźwiecki M., Sieklicki S., Drozdowski J., Siebert J.: Automated Detection of Sleep Apnea and Hypopnea Events Based on Robust Airflow Envelope Tracking in the Presence of Breathing Artifacts. - [IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS]// IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE. -Vol. 19, nr. 2 (2015), s.418-429
- Verified by:
- Gdańsk University of Technology
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