Obstructive Sleep Apnea Identification by Heart Rate Features Derived from Intrinsic Mode Function

2013 ◽  
Vol 284-287 ◽  
pp. 1691-1697
Author(s):  
Kang Ming Chang ◽  
Sih Huei Chen

Obstructive sleep apnea (OSA) is one of the most important sleep disorders. The gold standard diagnosis of OSA is overnight PSG examination that is time-consuming and labor intensive. Overnight ECG signal was developed to examine OSA, with easy implementation and portable equipment. There were various ECG derived features used for OSA identification, in this study, intrinsic mode function (IMF) was developed. IMF is a byproduct of Hilbert-Huang transform. IMF decompose original signal into various sub components, due to its complexity. In this study, some novel IMF derived features were used to examine the OSA duration measured from ECG signal, compared with traditional HRV features.

2015 ◽  
Vol 10 (2) ◽  
pp. 182-186
Author(s):  
Corneliu TOADER ◽  
◽  
Mioriţa TOADER ◽  
Andreea ŞERBĂNICĂ ◽  
Mircea DRĂGHICI ◽  
...  

Obstructive sleep apnea is characterized by recurrent episodes of partial or complete obstruction of upper respiratory airways which appear during sleep and lead to the decrease of oxygen saturation and numerous awakenings. The symptomatology in pediatric obstructive sleep apnea is very different from the adult type in many aspects. The gold standard examination for diagnosis and evaluation of severity is polysomnography. The authors present their experience in the surgical tratament of children with obstructive sleep apnea. It is outlined a group of patient enrolled during a period of 5 years (2010-2014) who had their tonsils reduced through coblation and radiofrequency techniques.


EP Europace ◽  
2021 ◽  
Vol 23 (Supplement_3) ◽  
Author(s):  
M Delesie ◽  
L Knaepen ◽  
A Wouters ◽  
A De Cauwer ◽  
A De Roy ◽  
...  

Abstract Funding Acknowledgements Type of funding sources: Public Institution(s). Main funding source(s): This study is part of Limburg Clinical Research Center, supported by the foundation Limburg Sterk Merk, province of Limburg, Flemish government, Hasselt University, Ziekenhuis Oost-Limburg and Jessa Hospital. OnBehalf Research Group Cardiovascular Diseases, University of Antwerp Background Obstructive sleep apnea (OSA) influences the progression of atrial fibrillation (AF) but is underdiagnosed in this population. Studies have shown that its treatment can help to reduce AF recurrences and improve symptoms. Polysomnography (PSG) is currently the gold standard for diagnosing OSA but being expensive and requiring overnight examination it is therefore not the ideal screening method. Different OSA screening tools such as questionnaires and scoring systems already exist but their value in AF patients remains unclear. Purpose The aim of this study was to examine the performance of different screening questionnaires and scoring systems for diagnosing OSA in an AF cohort, compared with PSG as gold standard. Methods Prospective study of the predictive performance of seven screening questionnaires and scoring systems (the Epworth Sleepiness Scale (ESS), the Berlin Questionnaire (BQ), Sleep Apnea Clinical Score (SACS), OSA50, STOP-BANG, NoSAS, MOODS) in consecutive AF patients referred to two sleep clinics. Results A total of 100 AF patients presenting for PSG were included (64.0 ± 8.6 years, 73% male, 87% non-permanent AF, mean Body Mass Index 30.6 ± 5.9 kg/m2, mean CHA2DS2-VASc score 2.4 ± 1.7, mEHRA≥2 in 64%; mean AF history 5.4 ± 5.6 years).  Forty-two percent of patients were referred to the sleep clinic by cardiologists. PSG diagnosed ≥mild OSA in 90% of patients, ≥moderate in 69%, and severe OSA in 33%. In screening for mild OSA, NoSAS, STOP-BANG and MOODS screening questionnaires had a fair area under the curve (AUC) of 0.773, 0.710 and 0.709 respectively. For at least moderate OSA, only the SACS and the NoSAS questionnaires had an AUC of 0.704 and 0.712 respectively (Figure 1). None of the seven screening questionnaires/scoring systems were performant enough (i.e. a fair AUC > 0.7) to detect severe OSA. Conclusions Our analysis shows that screening questionnaires and scoring systems such as ESS, BQ, SACS, NoSAS, OSA50, STOP-BANG and MOODS are not very useful to predict clinically relevant OSA (i.e. at least moderate OSA) in AF patients. Therefore, other screening modalities for OSA in AF patients should be investigated and validated. Abstract Figure 1


2021 ◽  
Vol 15 (10) ◽  
pp. 2823-2825
Author(s):  
Masood uz Zaman Babar ◽  
Rizwan Ali Tunio ◽  
Sunil Dat Maheshwari ◽  
Ali Hassan ◽  
Hasham Masood Qureshi

Objective: To determine the diagnostic accuracy of stop-bang questionnaire to diagnose high risk patients of obstructive sleep apnea taking polysomnography as gold standard. Methodology: This cross-sectional descriptive study was conducted at Isra University Hospital Hyderabad and help taken from Sleep Disorder Laboratory, The Aga Khan Hospital, Karachi. Patients with age of 18 to 70 years, presenting with symptoms of OSA of either gender were included. History was taken from patients. STOP- BANG Questionnaire was filled out for each patient consenting to participate in the study. All information was noted and entered in the Proforma. Results: Mean age of patients was 40.1 with standard deviation 17.6, mean AHI score was 20 with standard deviation 6 and stop bang score showed average 6.8 with standard deviation 2.7. Distribution of gender showed that most of the patients were male. Diagnostic accuracy calculated for stop bang questionnaire, sensitivity 77.2%, Specificity 65.5%, Positive Predictive Value 75.4%, Negative Predictive Value 67.8%, Diagnostic Accuracy 72.3% of stop bang questionnaire as follows. Conclusion: This study confirms the STOP-Bang questionnaire's high performance in screening for Obstructive sleep apnea (OSA) in the surgical population and sleep clinic. The likelihood of OSA severity increases from moderate to severe with the increasing STOP-Bang score. Keywords: Obstructive sleep apnea, stop-bang questionnaire, apnea-hypopnea index, polysomnogram


2011 ◽  
Vol 146 (2) ◽  
pp. 191-193 ◽  
Author(s):  
David E. Tunkel

The diagnosis of sleep-disordered breathing in children has centered around polysomnography (PSG). While PSG is considered the gold standard for diagnosis of obstructive sleep apnea in children, the need for PSG before adenotonsillectomy is widely debated. An evidence-based clinical practice guideline on the use of PSG in children before tonsillectomy has recently been published. The recommendations contained in this guideline are discussed, emphasizing the appropriate indications for PSG as well as the limitations of existing evidence for the use of PSG and diagnosis of sleep-disordered breathing in children.


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