A decision support system for automatic sleep staging from HRV using wavelet packet decomposition and energy features
Publication date: February 2020Source: Biomedical Signal Processing and Control, Volume 56Author(s): Du-Yan Geng, Jie Zhao, Chen-Xu Wang, Qi NingAbstractHeart rate variability (HRV) can reflect the relationship between heart rhythm and sleep structure. In order to achieve long-term effective monitoring of sleep and to solve the generalization problem of sleep staging algorithms, HRV signals were used to identify the wake, non-rapid eye movement (NREM) and rapid eye movement (REM) stages of two databases with 11,597 epoches of 16 subjects (8 healthy subjects and 8 sleep disorder). Features were extracted from HRV using three different methods: Hilbert Huang Transform (HHT), Singular Value Decomposition (SVD), and Wavelet Packet Decomposition (WPD). The extracted features were reconstructed into a new sleep score table, classified using random forest (RF) classifier and the results were interpreted using basic statistical criteria. Among these methods, the WPD extraction feature is the most successful. For the sleep staging model trained in the first database, the accuracy of Wake, NREM and REM after WPD extraction features were 80.9%, 88.2% and 65.8% respectively. The second databases were tested using a trained model, in which the Avg.Acc, Avg.Precision, Avg.F and Kappa statistic for healthy subjects were 72.9%, 0.720, 0.716 and 0.439 ± 0.0346. The standard explanations for sleep disorder subjects were 77.8%, 0.780, 0.843 and 0.656 ± 0.0324. The experime...
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Publication date: Available online 10 October 2020Source: IJC Heart &VasculatureAuthor(s): Dominik Linz, Jeroen Hendriks
Background: Obesity is strongly associated with both Blount disease and obstructive sleep apnea (OSA). Obesity increases risks for anesthetic and postoperative complications, and OSA can further exacerbate these risks. Since children with Blount disease might have both conditions, we sought to determine the perioperative complications and the prevalence of OSA among these children. Methods: Patients younger than 18 years undergoing corrective surgery for Blount disease were identified from 2 sources as follows: a retrospective review of records at a single institution and querying of the Kids’ Inpatient Database...
Publication date: Available online 9 October 2020Source: Molecular MetabolismAuthor(s): Xiao Tan, Lieve van Egmond, Jonathan Cedernaes, Christian Benedict
Date: Thursday, 10 08, 2020; Speaker: Craig Heller, Ph.D., Stanford University; Sigrid Veasey, M.D., University of Pennsylvania; Colleen McClung, Ph.D., University of Pittsburgh; Gary Aston-Jones, Ph.D., Rutgers University; Thomas Kilduff, Ph.D., SRI International, ; Ryan Logan, Ph.D., University of Pittsburg; Carol Everson, Ph.D., Medical College of Wisconsin; Xiaoke Chen, Ph.D., Stanford University ; Michael T. Smith, Ph.D., Johns Hopkins University; Henry Yaggi, M.D., Yale University ; Andre Huhn, Ph.D., Johns Hopkins University ; Mark Greenwald, Ph.D., Wayne State; Scott Bunce, Ph.D., Penn State University ; Johanna El...
DR MICHAEL MOSLEY: Now, lots of people have a late-night tipple because they believe that alcohol helps them sleep better. But recent research shows quite clearly that this is a myth.
Conclusions: Bioinformatics analysis is a useful tool to explore the mechanism and pathogenesis of PHN. The identified hub genes may participate in the onset and development of PHN and serve as therapeutic targets. PMID: 33029266 [PubMed - in process]
Conditions: Obstructive Sleep Apnea of Adult; Periodontal Diseases; Periodontal Pocket; Periodontal Attachment Loss Intervention: Sponsor: I.M. Sechenov First Moscow State Medical University Not yet recruiting
Condition: Post-traumatic Stress Disorder Interventions: Behavioral: Sleep recording; Behavioral: Cognitive tasks; Other: Questionnaires Sponsor: Direction Centrale du Service de Santé des Armées Not yet recruiting
Conclusion: High levels of plasma melatonin during the overnight period of intensive care cohort patients did not improve sleep nor decreased the prevalence of delirium. This trial is registered with Anzctr.org.au/ACTRN12620000661976.aspx. PMID: 33029397 [PubMed]