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Polysomnographic findings in the ultra-rare McLeod syndrome: further documentation of sleep apnea as a possible feature.
J Clin Sleep Med
March 2024
Department of Neurology, University Hospital of LMU Munich, Munich, Germany.
Study Objectives: McLeod syndrome is a very rare multisystemic neurodegenerative disease linked to mutations in the gene. It has cardiac, neurologic, and neuromuscular manifestations and shares similarities with Huntington's disease. The aim of this study was to evaluate sleep patterns of patients affected by McLeod syndrome.
View Article and Find Full Text PDFA reliable automatic algorithm to score fragmentary myoclonus.
J Sleep Res
October 2023
Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Excessive fragmentary myoclonus (EFM) is an incidental polysomnographic finding requiring documentation of ≥20 minutes of NREM sleep with ≥5 fragmentary myoclonus (FM) potentials per minute. Manual FM scoring is time-consuming and prone to inter-rater variability. This work aimed to validate an automatic algorithm to score FM in whole-night recordings.
View Article and Find Full Text PDFDocumentation of polysomnographic and home sleep apnea test interpretations: room for improvement?
J Clin Sleep Med
June 2023
Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, Minnesota.
Study Objectives: Obstructive sleep apnea (OSA), a heterogeneous disorder with many different presentations, is diagnosed with sleep studies. In standard clinical practice, test data are reviewed and scored, and interpretations are documented. Little standardization exists regarding what should be included in interpretations.
View Article and Find Full Text PDFText mining-based measurement of precision of polysomnographic reports as basis for intervention.
J Biomed Semantics
January 2022
Lung Center, Cantonal Hospital St. Gallen, Rorschacherstrasse 95, St. Gallen, 9007, Switzerland.
Background: Text mining can be applied to automate knowledge extraction from unstructured data included in medical reports and generate quality indicators applicable for medical documentation. The primary objective of this study was to apply text mining methodology for the analysis of polysomnographic medical reports in order to quantify sources of variation - here the diagnostic precision vs. the inter-rater variability - in the work-up of sleep-disordered breathing.
View Article and Find Full Text PDFBehavioral-state development and sleep-state differentiation during early ontogenesis.
Neurophysiol Clin
January 2021
Clinical Neurophysiology, Roger Salengro Hospital, CHRU Lille, France.
Article Synopsis
- Sleep is crucial for brain development, especially in premature infants, as disruptions can affect neurodevelopmental outcomes.
- This review highlights the importance of understanding sleep states and cycles in newborns based on gestational age, utilizing advanced techniques like polysomnography for assessment.
- The paper discusses how sleep quality impacts developmental processes and emphasizes the role of neurophysiological evaluations in identifying sleep disorders to enhance neurodevelopmental care.
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