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]
PBN-AR
Instytucja
Wydział Elektroniki, Telekomunikacji i Informatyki (Politechnika Gdańska)
Informacje podstawowe
Główny język publikacji
ENG
Czasopismo
IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
ISSN
1089-7771
EISSN
Wydawca
DOI
URL
Rok publikacji
2015
Numer zeszytu
2
Strony od-do
418-429
Numer tomu
19
Identyfikator DOI
Liczba arkuszy
Słowa kluczowe
SLEEP APNEA AND HYPOPNEA, BREATHING ARTIFACTS, MEDIAN FILTERS, ENVELOPE DETECTOR
Streszczenia
Język
Treść
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.
Inne
System-identifier
127876