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Utilizing Envelope Analysis of a Nasal Pressure Signal for Sleep Apnea Severity Estimation
Obstructive sleep apnea (OSA) severity assessment is based on manually scored respiratory events and their arbitrary definitions. Thus, we present an alternative method to objectively evaluate OSA severity independently of the manual scorings and scoring rules. A retrospective envelope analysis was...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10217613/ https://www.ncbi.nlm.nih.gov/pubmed/37238259 http://dx.doi.org/10.3390/diagnostics13101776 |
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author | Varis, Mikke Karhu, Tuomas Leppänen, Timo Nikkonen, Sami |
author_facet | Varis, Mikke Karhu, Tuomas Leppänen, Timo Nikkonen, Sami |
author_sort | Varis, Mikke |
collection | PubMed |
description | Obstructive sleep apnea (OSA) severity assessment is based on manually scored respiratory events and their arbitrary definitions. Thus, we present an alternative method to objectively evaluate OSA severity independently of the manual scorings and scoring rules. A retrospective envelope analysis was conducted on 847 suspected OSA patients. Four parameters were calculated from the difference between the nasal pressure signal’s upper and lower envelopes: average (AV), median (MD), standard deviation (SD), and coefficient of variation (CoV). We computed the parameters from the entirety of the recorded signals to perform binary classifications of patients using three different apnea–hypopnea index (AHI) thresholds (5-15-30). Additionally, the calculations were undertaken in 30-second epochs to estimate the ability of the parameters to detect manually scored respiratory events. Classification performances were assessed with areas under the curves (AUCs). As a result, the SD (AUCs ≥ 0.86) and CoV (AUCs ≥ 0.82) were the best classifiers for all AHI thresholds. Furthermore, non-OSA and severe OSA patients were separated well with SD (AUC = 0.97) and CoV (AUC = 0.95). Respiratory events within the epochs were identified moderately with MD (AUC = 0.76) and CoV (AUC = 0.82). In conclusion, envelope analysis is a promising alternative method by which to assess OSA severity without relying on manual scoring or the scoring rules of respiratory events. |
format | Online Article Text |
id | pubmed-10217613 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102176132023-05-27 Utilizing Envelope Analysis of a Nasal Pressure Signal for Sleep Apnea Severity Estimation Varis, Mikke Karhu, Tuomas Leppänen, Timo Nikkonen, Sami Diagnostics (Basel) Article Obstructive sleep apnea (OSA) severity assessment is based on manually scored respiratory events and their arbitrary definitions. Thus, we present an alternative method to objectively evaluate OSA severity independently of the manual scorings and scoring rules. A retrospective envelope analysis was conducted on 847 suspected OSA patients. Four parameters were calculated from the difference between the nasal pressure signal’s upper and lower envelopes: average (AV), median (MD), standard deviation (SD), and coefficient of variation (CoV). We computed the parameters from the entirety of the recorded signals to perform binary classifications of patients using three different apnea–hypopnea index (AHI) thresholds (5-15-30). Additionally, the calculations were undertaken in 30-second epochs to estimate the ability of the parameters to detect manually scored respiratory events. Classification performances were assessed with areas under the curves (AUCs). As a result, the SD (AUCs ≥ 0.86) and CoV (AUCs ≥ 0.82) were the best classifiers for all AHI thresholds. Furthermore, non-OSA and severe OSA patients were separated well with SD (AUC = 0.97) and CoV (AUC = 0.95). Respiratory events within the epochs were identified moderately with MD (AUC = 0.76) and CoV (AUC = 0.82). In conclusion, envelope analysis is a promising alternative method by which to assess OSA severity without relying on manual scoring or the scoring rules of respiratory events. MDPI 2023-05-17 /pmc/articles/PMC10217613/ /pubmed/37238259 http://dx.doi.org/10.3390/diagnostics13101776 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Varis, Mikke Karhu, Tuomas Leppänen, Timo Nikkonen, Sami Utilizing Envelope Analysis of a Nasal Pressure Signal for Sleep Apnea Severity Estimation |
title | Utilizing Envelope Analysis of a Nasal Pressure Signal for Sleep Apnea Severity Estimation |
title_full | Utilizing Envelope Analysis of a Nasal Pressure Signal for Sleep Apnea Severity Estimation |
title_fullStr | Utilizing Envelope Analysis of a Nasal Pressure Signal for Sleep Apnea Severity Estimation |
title_full_unstemmed | Utilizing Envelope Analysis of a Nasal Pressure Signal for Sleep Apnea Severity Estimation |
title_short | Utilizing Envelope Analysis of a Nasal Pressure Signal for Sleep Apnea Severity Estimation |
title_sort | utilizing envelope analysis of a nasal pressure signal for sleep apnea severity estimation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10217613/ https://www.ncbi.nlm.nih.gov/pubmed/37238259 http://dx.doi.org/10.3390/diagnostics13101776 |
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