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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Diagnostics |
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| Online Access: | https://www.mdpi.com/2075-4418/13/10/1776 |
| _version_ | 1797600396677480448 |
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| author | Mikke Varis Tuomas Karhu Timo Leppänen Sami Nikkonen |
| author_facet | Mikke Varis Tuomas Karhu Timo Leppänen Sami Nikkonen |
| author_sort | Mikke Varis |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-11T03:47:32Z |
| format | Article |
| id | doaj.art-489f00f2609840a799a8400ffe4758e4 |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-11T03:47:32Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-489f00f2609840a799a8400ffe4758e42023-11-18T01:05:01ZengMDPI AGDiagnostics2075-44182023-05-011310177610.3390/diagnostics13101776Utilizing Envelope Analysis of a Nasal Pressure Signal for Sleep Apnea Severity EstimationMikke Varis0Tuomas Karhu1Timo Leppänen2Sami Nikkonen3Department of Technical Physics, University of Eastern Finland, Canthia, P.O. Box 1627, FI-70211 Kuopio, FinlandDepartment of Technical Physics, University of Eastern Finland, Canthia, P.O. Box 1627, FI-70211 Kuopio, FinlandDepartment of Technical Physics, University of Eastern Finland, Canthia, P.O. Box 1627, FI-70211 Kuopio, FinlandDepartment of Technical Physics, University of Eastern Finland, Canthia, P.O. Box 1627, FI-70211 Kuopio, FinlandObstructive 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.https://www.mdpi.com/2075-4418/13/10/1776sleep apneaenvelope analysisobjective analysisnasal pressureseverity estimationrespiratory event |
| spellingShingle | Mikke Varis Tuomas Karhu Timo Leppänen Sami Nikkonen Utilizing Envelope Analysis of a Nasal Pressure Signal for Sleep Apnea Severity Estimation Diagnostics sleep apnea envelope analysis objective analysis nasal pressure severity estimation respiratory event |
| 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 | sleep apnea envelope analysis objective analysis nasal pressure severity estimation respiratory event |
| url | https://www.mdpi.com/2075-4418/13/10/1776 |
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