Matches in UGent Biblio for { <https://biblio.ugent.be/publication/3025094#aggregation> ?p ?o. }
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- aggregation classification "A1".
- aggregation creator B585287.
- aggregation creator B585288.
- aggregation creator B585289.
- aggregation creator B585290.
- aggregation creator B585291.
- aggregation creator B585292.
- aggregation creator person.
- aggregation date "2011".
- aggregation format "application/pdf".
- aggregation hasFormat 3025094.bibtex.
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- aggregation isPartOf urn:issn:0140-0118.
- aggregation language "eng".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Medicine and Health Sciences".
- aggregation title "Automatic breath-to-breath analysis of nocturnal polysomnographic recordings".
- aggregation abstract "Diagnosis of sleep-disordered breathing is based on the presence of an abnormal breathing pattern during sleep. In this study, an algorithm was developed for the offline breath-to-breath analysis of the nocturnal respiratory recordings. For that purpose, respiratory signals (nasal airway pressure, thoracic and abdominal movements) were divided into half waves using period amplitude analysis. Individual breaths were characterized by the parameters of the half waves (duration, amplitude, and slope). These values can be used to discriminate between normal and abnormal breaths. This algorithm was applied to six polysomnographic recordings to distinguish abnormal breathing events (apneas and hypopneas). The algorithm was robust for the identification of breaths (sensitivity = 96.8%, positive prediction value (PPV) = 99.5%). The detection of apneas and hypopneas was compared to the manual scoring of two experienced sleep technicians: sensitivity was, respectively, 89.2 and 88.9%, PPV was 54.1 and 59.3%. The classification of apneas into central, obstructive, or mixed was in concordance with the observers in 68% of the apneas. Although the algorithm tended to detect more hypopneas than the clinical standard, this study shows that the extraction of breath-to-breath parameters is useful for detection of abnormal respiratory events and provides a basis for further characterization of these events.".
- aggregation authorList BK938995.
- aggregation endPage "830".
- aggregation issue "7".
- aggregation startPage "819".
- aggregation volume "49".
- aggregation aggregates 3029418.
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- aggregation similarTo s11517-011-0755-x.
- aggregation similarTo LU-3025094.