Authors:
Nicole Gross
1
;
Jennifer Friedmann
1
;
Christophe Kunze
1
;
Wilhelm Stork
1
;
Daniel Sánchez Morillo
2
;
Antonio Leon Jimenez
3
and
Luis Felipe Crespo Foix
2
Affiliations:
1
FZI Forschungszentrum Informatik, Germany
;
2
University of Cádiz, Spain
;
3
University Hospital of Cádiz, Spain
Keyword(s):
SAHS, Sleep apnea, Screening, Pulse oximetry.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Devices
;
Health Information Systems
;
Human-Computer Interaction
;
Medical Image Detection, Acquisition, Analysis and Processing
;
Monitoring and Telemetry
;
Physiological Computing Systems
;
Wearable Sensors and Systems
Abstract:
About 3% of people suffer from sleep apnea-hypopnea syndrome SAHS. SAHS is a sleep associated respiratory disorder that negatively affects life quality and life expectancy. It is assumed that more than 80% of SAHS concerned are neither diagnosed nor therapied. Reliable and easy-handling SAHS screening systems are needed. Within this study, the reliability of pulse oximeter as a well-established, non-invasive medical device is examined for SAHS screening. Reliability of existing SAHS screening algorithms will be assessed. Hereby, the focus is on the influence of different desaturation detection strategies and the dependence on thresholds. Critiques on pulse oximetry as SAHS screening device will be responded. In this regard, guideline conform grey area integration in SAHS screening (concerning apnea-hypopnea index AHI between 5 and 15) is recommended. In particular, as by grey area integration an improvement of convenient SAHS screening algorithm reliabilities of about 7.3% in sensiti
vity and 8.7 % in specificity was achieved even in the most reliable tested algorithm. In a final step, room for improvement of screening results interpretation even without sleep medicine expert skills is indicated. In connection to this, possibilities of short-term frequency analysis of SpO2 data are demonstrated in its prospects for individualized SAHS screening quality.
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