Construction of a sleep staging prediction model for obstructive sleep apnea patients based on hypoxia parameters
Objective To compare the differences in hypoxia parameters between rapid eye movement（REM）and non - rapid eye movement（NREM）sleep stages in patients with obstructive sleep apnea（OSA）and to construct an artificial neural network（ANN）sleep staging prediction model. Methods A retrospective analysis was...
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The Editorial Department of Chinese Journal of Clinical Research
2025-06-01
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| Series: | Zhongguo linchuang yanjiu |
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| Online Access: | http://zglcyj.ijournals.cn/zglcyj/ch/reader/create_pdf.aspx?file_no=20250618 |
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| author | YANG Mengdie，PENG Cheng，CUI Yiran，XU Shaorong，WANG Yan |
| author_facet | YANG Mengdie，PENG Cheng，CUI Yiran，XU Shaorong，WANG Yan |
| author_sort | YANG Mengdie，PENG Cheng，CUI Yiran，XU Shaorong，WANG Yan |
| collection | DOAJ |
| description | Objective To compare the differences in hypoxia parameters between rapid eye movement（REM）and non - rapid eye movement（NREM）sleep stages in patients with obstructive sleep apnea（OSA）and to construct an artificial neural network（ANN）sleep staging prediction model. Methods A retrospective analysis was performed for86 adult patients who underwent overnight polysomnography（PSG），and exported PSG data files to Matlab software for analysis，and the REM staging events（2 023）and NREM staging events（10 075）with decreased pulse oxygensaturation（SpO2）were extracted. The differences of hypoxia parameters between REM and NREM were analyzed. The ANN model was constructed using a feed-forward structure incorporating a multilayer perceptron（MLP）with a back-propagation algorithm. Predictive performance was assessed using receiver operating characteristic（ROC）curves.Results Compared with the hypoxia parameters in NREM stage，e-minSpO2 and r.DSpO2 were lower，and ΔSpO2，d.DSpO2，ODR，ORR，T90，d.T90，r.T90，and ST90，d.ST90，r.ST90 were higher in REM stage（P<0.05）. The accuracy of ANN model test sets in predicting REM sleep was 84.00%，with the area under the curve（AUC）of 0.73，and the sensitivity，specificity，positive predictive value，and negative predictive value were 0.11，0.99，0.65 and 0.85，respectively. Conclusion There are differences in REM and NREM sleep hypoxia parameters in OSA patients，based on which an ANN prediction model can be constructed to achieve convenient，accurate and rapid identification ofsleep staging，which can provide a reference for the diagnosis and treatment of clinical sleep-related diseases. |
| format | Article |
| id | doaj-art-ecbb2f51078f410fb987b136b05bb2ed |
| institution | Kabale University |
| issn | 1674-8182 |
| language | zho |
| publishDate | 2025-06-01 |
| publisher | The Editorial Department of Chinese Journal of Clinical Research |
| record_format | Article |
| series | Zhongguo linchuang yanjiu |
| spelling | doaj-art-ecbb2f51078f410fb987b136b05bb2ed2025-08-20T03:30:08ZzhoThe Editorial Department of Chinese Journal of Clinical ResearchZhongguo linchuang yanjiu1674-81822025-06-0138690190510.13429/j.cnki.cjcr.2025.06.039Construction of a sleep staging prediction model for obstructive sleep apnea patients based on hypoxia parametersYANG Mengdie，PENG Cheng，CUI Yiran，XU Shaorong，WANG Yan0Department of Respiratory and Critical Care Medicine，Tianjin Medical University General Hospital，Tianjin 300052，ChinaObjective To compare the differences in hypoxia parameters between rapid eye movement（REM）and non - rapid eye movement（NREM）sleep stages in patients with obstructive sleep apnea（OSA）and to construct an artificial neural network（ANN）sleep staging prediction model. Methods A retrospective analysis was performed for86 adult patients who underwent overnight polysomnography（PSG），and exported PSG data files to Matlab software for analysis，and the REM staging events（2 023）and NREM staging events（10 075）with decreased pulse oxygensaturation（SpO2）were extracted. The differences of hypoxia parameters between REM and NREM were analyzed. The ANN model was constructed using a feed-forward structure incorporating a multilayer perceptron（MLP）with a back-propagation algorithm. Predictive performance was assessed using receiver operating characteristic（ROC）curves.Results Compared with the hypoxia parameters in NREM stage，e-minSpO2 and r.DSpO2 were lower，and ΔSpO2，d.DSpO2，ODR，ORR，T90，d.T90，r.T90，and ST90，d.ST90，r.ST90 were higher in REM stage（P<0.05）. The accuracy of ANN model test sets in predicting REM sleep was 84.00%，with the area under the curve（AUC）of 0.73，and the sensitivity，specificity，positive predictive value，and negative predictive value were 0.11，0.99，0.65 and 0.85，respectively. Conclusion There are differences in REM and NREM sleep hypoxia parameters in OSA patients，based on which an ANN prediction model can be constructed to achieve convenient，accurate and rapid identification ofsleep staging，which can provide a reference for the diagnosis and treatment of clinical sleep-related diseases.http://zglcyj.ijournals.cn/zglcyj/ch/reader/create_pdf.aspx?file_no=20250618obstructive sleep apneahypoxia parametersleep stagingpredictive modelingpolysomnography |
| spellingShingle | YANG Mengdie，PENG Cheng，CUI Yiran，XU Shaorong，WANG Yan Construction of a sleep staging prediction model for obstructive sleep apnea patients based on hypoxia parameters Zhongguo linchuang yanjiu obstructive sleep apnea hypoxia parameter sleep staging predictive modeling polysomnography |
| title | Construction of a sleep staging prediction model for obstructive sleep apnea patients based on hypoxia parameters |
| title_full | Construction of a sleep staging prediction model for obstructive sleep apnea patients based on hypoxia parameters |
| title_fullStr | Construction of a sleep staging prediction model for obstructive sleep apnea patients based on hypoxia parameters |
| title_full_unstemmed | Construction of a sleep staging prediction model for obstructive sleep apnea patients based on hypoxia parameters |
| title_short | Construction of a sleep staging prediction model for obstructive sleep apnea patients based on hypoxia parameters |
| title_sort | construction of a sleep staging prediction model for obstructive sleep apnea patients based on hypoxia parameters |
| topic | obstructive sleep apnea hypoxia parameter sleep staging predictive modeling polysomnography |
| url | http://zglcyj.ijournals.cn/zglcyj/ch/reader/create_pdf.aspx?file_no=20250618 |
| work_keys_str_mv | AT yangmengdiepengchengcuiyiranxushaorongwangyan constructionofasleepstagingpredictionmodelforobstructivesleepapneapatientsbasedonhypoxiaparameters |