Bibliographic Details
| Title: |
Current aspects and future perspectives on polysomnography. Applicability in rehabilitation patients diagnosed with sleep related breathing disorders -A narrative review |
| Authors: |
Raluca-Cosmina Mureșan, Damiana-Maria Vulturar, Liviu-Ștefan Moacă, Andrei Leșan, Anca-Diana Maierean, Bianca Gergely-Domokos-Hancu, Gabriela Dogaru, Antigona-Carmen Trofor, Tudor-Andrei Cernomaz, Adrian Lucian Frățilă, Doina Adina Todea |
| Source: |
Balneo and PRM Research Journal, Vol 15, Iss 1, p 659 (2024) |
| Publisher Information: |
Romanian Association of Balneology, Editura Balneara, 2024. |
| Publication Year: |
2024 |
| Collection: |
LCC:Science |
| Subject Terms: |
polysomnography (psg), obstructive sleep apnea (osa), artificial intelligence (ai), sleep relat-ed breathing disorders (srbd), rehabilitation, Science |
| More Details: |
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. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2734-8458 |
| Relation: |
https://bioclima.ro/Balneo659.pdf; https://doaj.org/toc/2734-8458 |
| DOI: |
10.12680/balneo.2024.659 |
| Access URL: |
https://doaj.org/article/0f5224db238140e0a37403e39adf4b40 |
| Accession Number: |
edsdoj.0f5224db238140e0a37403e39adf4b40 |
| Database: |
Directory of Open Access Journals |
