In-Home Diagnosis of Obstructive Sleep Apnea Using Automatic Video Analysis

[Display omitted] To evaluate the diagnostic accuracy of a non-invasive technology based on image processing for the identification of obstructive sleep apnea (OSA) and its severity at patients’ home. Observational, prospective, diagnostic accuracy study to evaluate the degree of measure agreement b...

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Bibliographic Details
Published in:Archivos de bronconeumología (English ed.) 2020-11, Vol.56 (11), p.704-709
Main Authors: Muñoz-Ferrer, Aida, Cervantes, Miguel-Ángel, Garcia-Olivé, Ignasi, Vicente, Ignacio, Folgado, Carlos, Ruiz-Manzano, Juan, Rosell, Antoni, Abad, Jorge
Format: Article
Language:eng ; spa
Subjects:
Diagnóstico de apnea obstructiva del sueño
Image processing
No invasivo
Non-invasive
Obstructive sleep apnea diagnosis
Procesamiento de imágenes
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Summary:[Display omitted] To evaluate the diagnostic accuracy of a non-invasive technology based on image processing for the identification of obstructive sleep apnea (OSA) and its severity at patients’ home. Observational, prospective, diagnostic accuracy study to evaluate the degree of measure agreement between Sleepwise (SW), in-laboratory attended polysomnography (PSG) and a home sleep apnea test (HSAT). 38 consecutive subjects with suspected OSA referred as outpatients to the sleep unit were recruited from September 2016 to September 2017. All patients underwent in-laboratory attended PSG and image processing with SW simultaneously overnight. Subsequently, a HSAT and image processing with SW were performed simultaneously overnight at patients’ home, and the 2 nights after, patients underwent only image processing with SW consecutively. In-laboratory polysomnography and SW had a Lin's concordance correlation coefficient of 0.933 and a κ of 0.930. Between HSAT and SW the Lin's concordance correlation coefficient was 0.842 and a κ of 0.571. Agreement between two consecutive nights with SW recording showed a Lin's concordance correlation coefficient of 0.923 and a κ of 0. 837. SW was highly accurate for non-invasive and automatic diagnosis of OSA in outpatients compared to standard methods for OSA diagnosis either in-laboratory attended PSG or HSAT. SW proved to be a technique with repeatable and concordant results on different nights for the same patient. We conclude SW is a non-invasive, easy-to-use, portable, effective and highly accurate system for the in-home diagnosis of OSA. Evaluar la precisión diagnóstica de una tecnología no invasiva basada en el procesamiento de imágenes para la identificación de la apnea obstructiva del sueño (AOS) y su gravedad en el domicilio de los pacientes. Estudio observacional, prospectivo y de precisión diagnóstica para evaluar el grado de concordancia entre las mediciones de Sleepwise (SW), polisomnografía (PSG) asistida en el laboratorio y poligrafía respiratoria domiciliaria (PRD). Se reclutaron 38 sujetos consecutivos con sospecha de AOS, referidos como pacientes ambulatorios a la unidad de sueño entre septiembre de 2016 y septiembre de 2017. Se les realizó a todos una PSG y procesamiento de imagen con SW durante la noche en el laboratorio. Posteriormente, se realizó una PRD y procesamiento de imágenes con SW de forma simultánea durante la noche en su domicilio, y las 2 noches siguientes los pacientes se sometieron solo a
ISSN:0300-2896
1579-2129
DOI:10.1016/j.arbres.2019.11.027