Decreased sample entropy during sleep-to-wake transition in sleep apnea patients

2021 ◽  
Author(s):  
Xueyu Liang ◽  
Jinle Xiong ◽  
Zhengtao Cao ◽  
Xingyao Wang ◽  
Jianqing Li ◽  
...  
Keyword(s):  
Sleep Apnea ◽  
Sample Entropy ◽  
Wake Transition

scholarly journals EEG microstate in obstructive sleep apnea patients

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xin Xiong ◽  
Yuyan Ren ◽  
Shenghan Gao ◽  
Jianhua Luo ◽  
Jiangli Liao ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Correlation Analysis ◽  
Transition Probability ◽  
Transient State ◽  
Sample Entropy ◽  
Sleep Stages ◽  
Fluctuation Analysis ◽  
Alpha Power ◽  
Obstructive Sleep

AbstractObstructive sleep apnea (OSA) is a common sleep respiratory disease. Previous studies have found that the wakefulness electroencephalogram (EEG) of OSA patients has changed, such as increased EEG power. However, whether the microstates reflecting the transient state of the brain is abnormal is unclear during obstructive hypopnea (OH). We investigated the microstates of sleep EEG in 100 OSA patients. Then correlation analysis was carried out between microstate parameters and EEG markers of sleep disturbance, such as power spectrum, sample entropy and detrended fluctuation analysis (DFA). OSA_OH patients showed that the microstate C increased presence and the microstate D decreased presence compared to OSA_withoutOH patients and controls. The fifth microstate E appeared during N1-OH, but the probability of other microstates transferring to microstate E was small. According to the correlation analysis, OSA_OH patients in N1-OH showed that the microstate D was positively correlated with delta power, and negatively correlated with beta and alpha power; the transition probability of the microstate B → C and E → C was positively correlated with alpha power. In other sleep stages, the microstate parameters were not correlated with power, sample entropy and FDA. We might interpret that the abnormal transition of brain active areas of OSA patients in N1-OH stage leads to abnormal microstates, which might be related to the change of alpha activity in the cortex.

scholarly journals Short-Term HRV Analysis Using Nonparametric Sample Entropy for Obstructive Sleep Apnea

Entropy ◽  
2021 ◽  
Vol 23 (3) ◽  
pp. 267
Author(s):  
Duan Liang ◽  
Shan Wu ◽  
Lan Tang ◽  
Kaicheng Feng ◽  
Guanzheng Liu
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Sample Entropy ◽  
Biomedical Signal Processing ◽  
Apnea Hypopnea Index ◽  
Short Term ◽  
Autonomic Nervous System Dysfunction ◽  
Obstructive Sleep ◽  
Hrv Analysis ◽  
Frequency Power

Obstructive sleep apnea (OSA) is associated with reduced heart rate variability (HRV) and autonomic nervous system dysfunction. Sample entropy (SampEn) is commonly used for regularity analysis. However, it has limitations in processing short-term segments of HRV signals due to the extreme dependence of its functional parameters. We used the nonparametric sample entropy (NPSampEn) as a novel index for short-term HRV analysis in the case of OSA. The manuscript included 60 6-h electrocardiogram recordings (20 healthy, 14 mild-moderate OSA, and 26 severe OSA) from the PhysioNet database. The NPSampEn value was compared with the SampEn value and frequency domain indices. The empirical results showed that NPSampEn could better differentiate the three groups (p < 0.01) than the ratio of low frequency power to high frequency power (LF/HF) and SampEn. Moreover, NPSampEn (83.3%) approached a higher OSA screening accuracy than the LF/HF (73.3%) and SampEn (68.3%). Compared with SampEn (|r| = 0.602, p < 0.05), NPSampEn (|r| = 0.756, p < 0.05) had a significantly stronger association with the apnea-hypopnea index (AHI). Hence, NPSampEn can fully overcome the influence of individual differences that are prevalent in biomedical signal processing, and might be useful in processing short-term segments of HRV signal.

scholarly journals EEG Microstate in Obstructive Sleep Apnea Patients

2020 ◽  
Author(s):  
Xin Xiong ◽  
Yuyan Ren ◽  
Shenghan Gao ◽  
Jianhua Luo ◽  
Jiangli Liao ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Power Spectrum ◽  
Transient State ◽  
Sample Entropy ◽  
Fluctuation Analysis ◽  
Obstructive Sleep ◽  
Healthy Control ◽  
Detrended Fluctuation ◽  
Electroencephalogram Eeg

Abstract Obstructive sleep apnea (OSA) is a common sleep respiratory disease. Previous studies have found that the wakefulness electroencephalogram (EEG) of OSA patients has changed, such as increased EEG power. However, whether the microstate reflecting the transient state of the brain is abnormal is unclear during sleep apnea or hypopnea. We investigated the microstates of sleep EEG in 30 OSA patients and in 10 healthy control volunteers. Then correlation analysis was carried out between microstate parameters and EEG markers of sleep disturbance, such as power spectrum, sample entropy and detrended fluctuation analysis (DFA). We observed that there was an additional fifth microstate E during apnea or hypopnea in N1 and N3 stages in OSA patients. And the microstate E was correlated with the power spectrum of delta, theta and alpha bands, not correlated with sample entropy, but correlated with DFA in N1-OA/OH stage. Moreover, Global Explained Variance, Mean Duration, Time Coverage and Segment Density of microstate E were positively correlated with DFA. We can interpret that the abnormal transition of brain active areas of OSA patients in N1-OA/OH stages leads to an extra microstate E, which might be related to the change of alpha activity in the cortex. And the generation of microstate E is not correlated with the decrease of EEG complexity, but correlated with the stronger self-similar regularity of EEG signals in OSA patients. These findings indicate that the microstate has the potential as a biomarker of EEG and has potential application value in OSA diagnosis.

scholarly journals Magnitude and influencing factors of parasomnia in schoolchildren

2013 ◽  
Vol 53 (6) ◽  
pp. 339
Author(s):  
Choudhury Habibur Rasul ◽  
Khan Golam Mostafa ◽  
Nitya Nanda Baruri ◽  
Jakia Sultana
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Socioeconomic Factors ◽  
Transition Period ◽  
Perinatal Factors ◽  
Clinical Interviews ◽  
Obstructive Sleep ◽  
Girls School ◽  
Wake Transition ◽  
Demographic Features

Background Parasomnias are undesirable events occurring inthe sleep-wake transition period. Several predisposing factors arereported to induce parasomnia in preschool children.Objective To es timate the magnitude of parasomnia in schoolchildren and to evaluate its relationship with possible predisposingfactors .Methods Five hundred children aged 5- 16 years from a boys'school and a girls' school in Khulna City, Ban gladesh, wererandomly selected for the study conducted fromJuly to December2011. The survey was don e in two steps: self-administeredquestionnaire and clinical interviews of affected students andtheir parents. Apart from demographic features, questionnairesincluded details of perinatal and personal fac tors as well asfamilial and socioeconomic factors . The diagnoses of variantsof parasomnias was based on the criteria for category-basedclassification by the American Academy of Sleep Medicine.Results Seven hundred thir teen filled questionnaires revealedparasomnia in 187 (26.2%) children. Most parasomnias wereaccompanied by other sleep disorders, in which 23 (12.3%) havingprimary dyssomnias including 18 (9.3%) obstructive sleep apnea,and 10 (5.3%) parasomnias with hypersomnias . Nightmares(7. 4%) were highest among the parasomnias fo llowed by nocturnalenuresis (4.1 %) and sleep terrors (3 .4%). More girls experiencedparasomnias than boys (107 /360 vs . 80/353, respectively;P= 0.039) . Perinatal factors such as problems during pregnancy(17 .1 %) or eventful delivery (25. 7%), and socioeconomic factorssuch as familial disharmony (11.8%) and low socioeconomiclevel(3 1.6%) had positive associations with parasomnia.Conclusion One-quarter of school children experience parasomnia.We found perinatal factors particularly problem duringpregnancy, and socioeconomic factors particularly familialdisharmony have significant influences on this condition.

Treating Velopharyngeal Inadequacy Using Bilateral Buccal Flap Revision Palatoplasty

2019 ◽  
Vol 4 (5) ◽  
pp. 878-892
Author(s):  
Joseph A. Napoli ◽  
Linda D. Vallino
Keyword(s):  
Systematic Review ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Cleft Lip ◽  
Cleft Lip And Palate ◽  
A Priori ◽  
Sufficient Evidence ◽  
Obstructive Sleep ◽  
Before And After ◽  
Buccal Flap

Purpose The 2 most commonly used operations to treat velopharyngeal inadequacy (VPI) are superiorly based pharyngeal flap and sphincter pharyngoplasty, both of which may result in hyponasal speech and airway obstruction. The purpose of this article is to (a) describe the bilateral buccal flap revision palatoplasty (BBFRP) as an alternative technique to manage VPI while minimizing these risks and (b) conduct a systematic review of the evidence of BBFRP on speech and other clinical outcomes. A report comparing the speech of a child with hypernasality before and after BBFRP is presented. Method A review of databases was conducted for studies of buccal flaps to treat VPI. Using the principles of a systematic review, the articles were read, and data were abstracted for study characteristics that were developed a priori. With respect to the case report, speech and instrumental data from a child with repaired cleft lip and palate and hypernasal speech were collected and analyzed before and after surgery. Results Eight articles were included in the analysis. The results were positive, and the evidence is in favor of BBFRP in improving velopharyngeal function, while minimizing the risk of hyponasal speech and obstructive sleep apnea. Before surgery, the child's speech was characterized by moderate hypernasality, and after surgery, it was judged to be within normal limits. Conclusion Based on clinical experience and results from the systematic review, there is sufficient evidence that the buccal flap is effective in improving resonance and minimizing obstructive sleep apnea. We recommend BBFRP as another approach in selected patients to manage VPI. Supplemental Material https://doi.org/10.23641/asha.9919352

Sign in / Sign up

Export Citation Format

Share Document