Current aspects and future perspectives on polysomnography. Applicability in rehabilitation patients diagnosed with sleep related breathing disorders -A narrative review

Abstract

Background: Polysomnography is continually advancing technically, with its applicability ex-panding across various fields. This narrative review aims to highlight its recent developments, current applications, and future perspectives from a clinical point of view. Methods: Relevant articles written in English published from 2015 to 2024 were searched in PubMed and Google Scholar. Results: Polysomnography remains the gold standard test in sleep disorders but in certain categories of patients it is not very accesible. Some of the home sleep tests (HSAT) per-form closely to PSG testing. Identifying REM movement disorders early is important because it is a predictor factor for developing neurodegenerative diseases. Artificial intelligence (AI) cаn be used for diаgnosis by integrаting АI in weаrаble devices for remote monitoring, using it for fаster аnd а more аccurаte scoring, аs well аs using it to offer рersonаlized treаtment for eаch individuаl. Polysomnography can play a pivotal role in diagnosing sleep related breathing disorders in rehabilitation patients to offer treatment, help in the improvement of sleep quality and consequently, offer better rehabilitation outcomes. Conclusions: Polysomnography opens up numerous possibilities for investigating sleep disorders, providing a comprehensive under-standing of an individual's sleep health, and improving the management of sleep-related dis-orders.

Keywords

• polysomnography (psg)
• obstructive sleep apnea (osa)
• artificial intelligence (ai)
• sleep relat-ed breathing disorders (srbd)
• rehabilitation