Search results for "Sleep Stage"

showing 10 items of 59 documents

Information dynamics of brain-heart physiological networks during sleep

2014

This study proposes an integrated approach, framed in the emerging fields of network physiology and information dynamics, for the quantitative analysis of brain-heart interaction networks during sleep. With this approach, the time series of cardiac vagal autonomic activity and brain wave activities measured respectively as the normalized high frequency component of heart rate variability and the EEG power in the δ, θ, σ, and β bands, are considered as realizations of the stochastic processes describing the dynamics of the heart system and of different brain sub-systems. Entropy-based measures are exploited to quantify the predictive information carried by each (sub)system, and to dissec…

Conditional entropyPhysicsSleep StagesInformation transfermedicine.diagnostic_testGeneral Physics and AstronomyElectroencephalographynetwork physiologybrainheart interactions; information dynamics; network physiology; Physics and Astronomy (all)Physics and Astronomy (all)Settore ING-INF/06 - Bioingegneria Elettronica E Informaticamedicinebrainheart interactionHeart rate variabilityEntropy (information theory)Transfer entropyNeuroscienceinformation dynamicSlow-wave sleep
researchProduct

Brain and Breathing

2014

Breathing is an essential feature of living organisms, and control of breathing is a very complex topic in human physiology. Breathing is differently modulated under conditions of wakefulness and sleep, and ventilation decreases during sleep in normal subjects. In patients with respiratory diseases, sleep represents a very vulnerable condition, since gas exchange usually worsens, especially in REM sleep. Several types of respiratory events can occur during sleep, and knowledge of control of breathing is essential to understand their pathophysiology. This chapter summarizes the main characteristics of ventilation during both wakefulness and sleep, the differences found between genders, and t…

Control of breathingmedicine.medical_specialtySleep Stagesbusiness.industrySettore MED/10 - Malattie Dell'Apparato RespiratorioSleep in non-human animalsSleep deprivationControl of respirationSleep and breathingInternal medicinephysiologyBreathingCardiologyMedicineWakefulnessmedicine.symptomRespiratory systembusiness
researchProduct

Nonlinear dynamical aspects of the human sleep EEG.

1994

This article deals with the application of methods from the theory of nonlinear dynamical systems to EEG signals. Theoretical background, mathematical concepts and algorithms for the calculation of "non-linear parameters" are reviewed and influences of the structure of reconstructed data sets on the calculations are pointed out. We present results for the estimation of the correlation dimension D2 and the principal Lyapunov-exponent lambda 1 for sleep EEG data respectively from 10 and 15 healthy subjects corresponding to different sleep stages. Essentially, we found a statistically significant decrease of both D2 and lambda 1 as sleep moves towards slow wave stages. The values for REM sleep…

Correlation dimensionmedia_common.quotation_subjectPoison controlLyapunov exponentElectroencephalographyModels Biologicalsymbols.namesakemedicineHumansStatistical physicsmedia_commonSleep StagesQuantitative Biology::Neurons and Cognitionmedicine.diagnostic_testGeneral NeuroscienceElectroencephalographyGeneral MedicineNonlinear systemNonlinear DynamicssymbolsPsychologySleepSleep eegAlgorithmsMathematicsVigilance (psychology)The International journal of neuroscience
researchProduct

An Automatic Sleep Scoring Toolbox : Multi-modality of Polysomnography Signals’ Processing

2019

Sleep scoring is a fundamental but time-consuming process in any sleep laboratory. To speed up the process of sleep scoring without compromising accuracy, this paper develops an automatic sleep scoring toolbox with the capability of multi-signal processing. It allows the user to choose signal types and the number of target classes. Then, an automatic process containing signal pre-processing, feature extraction, classifier training (or prediction) and result correction will be performed. Finally, the application interface displays predicted sleep structure, related sleep parameters and the sleep quality index for reference. To improve the identification accuracy of minority stages, a layer-w…

MATLABSpeedupComputer scienceFeature extraction02 engineering and technologyPolysomnographyMachine learningcomputer.software_genreuni (lepotila)polysomnography0202 electrical engineering electronic engineering information engineeringmedicineHidden Markov modelSignal processingSleep Stagesmedicine.diagnostic_testbusiness.industrysignaalianalyysi020206 networking & telecommunicationsautomatic sleep scoringToolboxmulti-modality analysis020201 artificial intelligence & image processingArtificial intelligencebusinesscomputerClassifier (UML)MATLAB toolbox
researchProduct

Sleep in children with autistic spectrum disorder: a questionnaire and polysomnographic study.

2007

Abstract Objective To evaluate sleep in children with autistic spectrum disorder (ASD) by means of sleep questionnaires and polysomnography; moreover, to analyze their cyclic alternating pattern (CAP). Methods Thirty-one patients with ASD (28 males, 3 females, aged 3.7–19 years) and age-matched normal controls were included. ASD children were evaluated by a standard sleep questionnaire that consisted of 45 items in a Likert-type scale covering several areas of sleep disorders and by overnight polysomnography in the sleep laboratory after one adaptation night. Results The questionnaire results showed that parents of ASD children reported a high prevalence of disorders of initiating and maint…

Malemedicine.medical_specialtyAdolescentcyclic alternating patternPolysomnographySleep REMPolysomnographyComorbidityAudiologyNon-rapid eye movement sleepactigraphy polysomnographyEnuresisSleep Disorders Circadian RhythmSurveys and Questionnairesmental disordersActivities of Daily LivingmedicineHumansAutistic DisorderParent-Child RelationsChildSleep disorderSleep StagesSleep stagemedicine.diagnostic_testautistic spectrum disorderActigraphyGeneral Medicinemedicine.diseaseComorbiditySleep in non-human animalsSettore MED/39 - Neuropsichiatria Infantilesleep questionnaireactigraphy; actigraphy polysomnography; autistic spectrum disorder; cyclic alternating pattern; polysomnography; sleep questionnaire; sleep stagesLogistic ModelsChild PreschoolPhysical therapyFemaleSleep Stagesmedicine.symptomPsychologyactigraphySleep medicine
researchProduct

REM sleep behavior disorder and periodic leg movements during sleep in ALS

2017

Objective To assess sleep characteristics and the occurrence of abnormal muscle activity during sleep, such as REM sleep without atonia (RSWA), REM sleep behavior disorder (RBD), and periodic leg movements during sleep (PLMS), in patients with amyotrophic lateral sclerosis (ALS). Methods A total of 41 patients with ALS and 26 healthy subjects were submitted to clinical interview and overnight video-polysomnography. Results A total of 22 patients with ALS (53.6%) reported poor sleep quality. Polysomnographic studies showed that patients with ALS had reduced total sleep time, increased wakefulness after sleep onset, shortened REM and slow-wave sleep, and decreased sleep efficiency, compared t…

Malemedicine.medical_specialtyNeurologyperiodic leg movementPolysomnography[SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/NeurobiologySleep StagePolysomnographyREM Sleep Behavior Disorderrapid eye movement sleep without atoniaNon-rapid eye movement sleepREM sleep behavior disorder03 medical and health sciences0302 clinical medicineInsomniamedicineHumansamyotrophic lateral sclerosisleepComputingMilieux_MISCELLANEOUSSlow-wave sleepAgedmedicine.diagnostic_test[SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior[SCCO.NEUR]Cognitive science/NeuroscienceAmyotrophic Lateral Sclerosis[SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive SciencesGeneral MedicineMiddle Agedmedicine.diseaseSleep in non-human animals3. Good healthNocturnal Myoclonus Syndrome030228 respiratory systemItalyNeurologyAnesthesiarapid eye movement sleep behavior disorderFemaleSettore MED/26 - NeurologiaSleep StagesNeurology (clinical)medicine.symptomSleep onsetPsychology030217 neurology & neurosurgeryHuman
researchProduct

Dynamic networks of physiologic interactions of brain waves and rhythms in muscle activity.

2022

The brain plays a central role in facilitating vital body functions and in regulating physiological and organ systems, including the skeleto-muscular and locomotor system. While neural control is essential to synchronize and coordinate activation of various muscle groups and muscle fibers within muscle groups in relation to body movements and distinct physiologic states, the dynamic networks of brain-muscle interactions have not been explored and the complex regulatory mechanism of brain-muscle control remains unknown. Here we present a first study of network interactions between brain waves at different cortical locations and peripheral muscle activity across key physiologic states - wake,…

Network physiologyBurstsCortico-muscular networksTime delay stabilityDynamic networksMusclesBiophysicsBrainExperimental and Cognitive PsychologyGeneral MedicineBrain WavesWakeHumansOrthopedics and Sports MedicineSleep StagesSleepMuscle activityHuman movement science
researchProduct

Heart rate variability during sleep in patients with schizophrenia treated with olanzapine.

2004

Cardiac adverse events in patients treated with atypical antipsychotics have gained increasing interest in recent years. In the present study, heart rate variability (HRV), which is a sensitive parameter reflecting central autonomic cardiac control, was investigated during treatment with olanzapine. Ten physically healthy male patients with schizophrenia, who displayed predominantly negative symptoms, were studied in the sleep laboratory under drug-free baseline conditions and after 4 weeks of olanzapine medication. HRV was assessed during different sleep stages both in the time and frequency domains. Only slight changes in HRV were shown during treatment, and appeared to be independent of …

OlanzapineAdultMalePsychosisAdolescentmedicine.drug_classAtypical antipsychoticBenzodiazepinesHeart RateHeart ratemedicineHeart rate variabilityHumansPharmacology (medical)Sleep StagesDose-Response Relationship DrugDopamine antagonistElectroencephalographymedicine.diseasePsychiatry and Mental healthSchizophreniaOlanzapineAnesthesiaSchizophreniaSleep StagesPsychologymedicine.drugAntipsychotic AgentsInternational clinical psychopharmacology
researchProduct

Metabolic syndrome, insulin resistance and sleepiness in real-life obstructive sleep apnoea.

2011

The metabolic syndrome shows a variable prevalence in obstructive sleep apnoea (OSA), and its association with insulin resistance or excessive daytime sleepiness in OSA is unclear. This study assessed the following in consecutive patients with newly diagnosed OSA: 1) the prevalence of metabolic syndrome; and 2) its association with insulin resistance and daytime sleepiness. Metabolic syndrome (National Cholesterol Education Program Adult Treatment Panel (NCEP- ATP) III criteria), insulin resistance (Homeostatic Model Assessment (HOMA) index, n5288) and daytime sleepiness (Epworth Sleepiness Scale) were assessed in 529 OSA patients. The prevalence of metabolic syndrome was 51.2%, which incre…

Pulmonary and Respiratory MedicineAdultMalemedicine.medical_specialtyExcessive daytime sleepinessBlood PressureSettore MED/10 - Malattie Dell'Apparato RespiratorioSeverity of Illness IndexBody Mass IndexInsulin resistanceSex FactorsInternal medicinemedicinePrevalenceHumansObesityAgedMetabolic SyndromeSleep Apnea Obstructivebusiness.industryEpworth Sleepiness ScaleSleep apneaMiddle Agedmedicine.diseaseObesityrespiratory tract diseasesOxygenEndocrinologyEpidemiology intermittent hypoxia metabolism sexHomeostatic model assessmentCardiologyFemaleSleep StagesMetabolic syndromemedicine.symptomInsulin ResistancebusinessBody mass indexBiomarkersThe European respiratory journal
researchProduct

Obstructive sleep apnea and chronic kidney disease: open questions on a potential public health problem

2018

To determine the relationship between obstructive sleep apnea (OSA) and chronic kidney disease (CKD). Previous population studies of the association are sparse, conflicting and confined largely to studies of administrative data.Cross-sectional analysis in unselected participants of the Men Androgens Inflammation Lifestyle Environment and Stress (MAILES) study, aged40 years. Renal data were available for 812 men without a prior OSA diagnosis who underwent full in-home polysomnography (Embletta X100) in 2010-2011. CKD was defined as an estimated glomerular filtration rate (eGFR)60 mL/min/1.73m2 or eGFR≥60 and albuminuria (albumin-creatinine ratio ≥3.0 mg/mmol).CKD (10.5%, n = 85 [Stage 1-3, 9…

Pulmonary and Respiratory MedicineAdultMalemedicine.medical_specialtyPolysomnographySettore MED/10 - Malattie Dell'Apparato Respiratorio03 medical and health sciences0302 clinical medicineInternal medicineDiabetes mellitusEpidemiologyOdds RatioMedicineHumansEndothelial dysfunctionRenal Insufficiency ChronicLife StyleAgedKidneySleep Apnea Obstructivebusiness.industryPublic healthSnoringMiddle Agedmedicine.diseaseObesityrespiratory tract diseasesObstructive sleep apneamedicine.anatomical_structureEditorialCross-Sectional Studies030228 respiratory systemSleep Stagesbusiness030217 neurology & neurosurgeryKidney disease
researchProduct