Purpose Of Review: Diagnosis of sleep apnoea was performed in sleep laboratories with polysomnography. This requires a room with supervision and presence of technologists and trained sleep experts. Today, clinical guidelines in most countries recommend home sleep apnoea testing with simple systems using six signals only. If criteria for signal quality, recording conditions, and patient selection are considered, then this is a reliable test with high accuracy.

Recent Findings: Recently diagnostic tools for sleep apnoea diagnosis become even more simple: smartwatches and wearables with smart apps claim to diagnose sleep apnoea when these devices are tracking sleep and sleep quality as part of new consumer health checking. Alternative and new devices range from excellent diagnostic tools with high accuracy and full validation studies down to very low-quality tools which only result in random diagnostic reports. Due to the high prevalence of sleep apnoea, even a random diagnosis may match a real disorder sometimes.

Summary: Until now, there are no metrics established how to evaluate these alternative algorithms and simple devices. Proposals for evaluating smartwatches, smartphones, single-use sensors, and new algorithms are presented. New assessments may help to overcome current limitations in sleep apnoea severity metrics. VIDEO ABSTRACT: http://links.lww.com/COPM/A28.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7575020PMC
http://dx.doi.org/10.1097/MCP.0000000000000726DOI Listing

Publication Analysis

Top Keywords

sleep apnoea
28
sleep
11
alternative algorithms
8
apnoea diagnosis
8
diagnostic tools
8
apnoea
7
devices
4
algorithms devices
4
devices sleep
4
diagnosis
4

Similar Publications

Aim: The current study aimed to assess the oropharyngeal space using cone-beam computed tomography (CBCT) and its effect on airway volume both before and after denture placement.

Materials And Methods: For this investigation, a total of 15 individuals with fully edentulous upper and lower ridges, ranging in age from 40 to 70, were taken into consideration. A recording of the pulmonary function test was made both prior to and following full denture recovery.

View Article and Find Full Text PDF

Objectives: We aimed to characterize a craniofacial skeletal phenotype (CSP) of adult obstructive sleep apnea (OSA) patients from a multidimensional perspective, exploring the impact of transverse skeletal discrepancy (TSD) on multivariable polysomnographic profiles.

Materials And Methods: This retrospective, cross-sectional study included 102 adult OSA patients. Sagittal, vertical, and transverse skeletal patterns were categorized on the cone beam computed tomography images.

View Article and Find Full Text PDF

Objective: Common examinations for diagnosing obstructive sleep apnea (OSA) are polysomnography (PSG) and home sleep apnea testing (HSAT). However, both PSG and HSAT require that sensors be attached to a subject, which may disturb their sleep and affect the results. Hence, in this study, we aimed to verify a wireless radar framework combined with deep learning techniques to screen for the risk of OSA in home-based environments.

View Article and Find Full Text PDF

Background: Simple and affordable methods for evaluating Insulin Resistance (IR) have been suggested, such as the Triglyceride-Glucose (TyG) index and its variants, including the TyG-Body Mass Index (TyG-BMI), TyG-Waist Circumference (TyG-WC), and TyG-Waist-to-Height Ratio (TyG-WHtR). The aim of this study is to investigate the relationship between these TyG-related indices, which measure IR, and Obstructive Sleep Apnea (OSA).

Methods: This study analyzed NHANES data from 2007-2008, 2015-2016, and 2017-2020.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!