Background Evaluation and interpretation of the literature on obstructive sleep apnea (OSA)
allows for consolidation and determination of the key factors important for clinical …

Study Objectives: Machine learning (ML) models have been employed in the setting of sleep
disorders. This review aims to summarize the existing data about the role of ML techniques …

Obstructive sleep apnea (OSA) is a serious medical condition with a high prevalence,
although diagnosis remains a challenge. Existing home sleep tests may provide acceptable …

The most appropriate physiological signals to develop simplified as well as accurate
screening tests for obstructive sleep apnoea (OSA) remain unknown. This study aimed at …

Obstructive sleep apnea (OSA) is a common respiratory disorder marked by interruption of
the respiratory tract and difficulty in breathing. The risk of serious health damage can be …

Study Objectives: Portable devices for home sleep apnea testing are often limited by their
inability to discriminate sleep/wake status, possibly resulting in underestimations. Tracheal …

Objective The apnea-hypopnea index (AHI) does not provide information about the apnea
depth and length. We aimed to evaluate the correlation of the oxygen desaturation index …

Current diagnostics of sleep apnea relies on the time-consuming manual analysis of
complex sleep registrations, which is impractical for routine screening in hospitalized …

Background Early identification of poor adherence to CPAP treatment is of major clinical
importance to optimize treatment outcomes in patients with OSA. Research Question How …

Obstructive sleep apnoea (OSA) is a growing and serious worldwide health problem with
significant health and socioeconomic consequences. Current diagnostic testing strategies …