Somnologie - Schlafforschung Und Schlafmedizin 

About: Somnologie - Schlafforschung Und Schlafmedizin is an academic journal. The journal publishes majorly in the area(s): Sleep disorder & Polysomnography. Over the lifetime, 512 publications have been published receiving 3701 citations.

Zur Validität der deutschen Übersetzung des Morningness-Eveningness-Questionnaires von Horne und Östberg

Abstract: Die Vergleichbarkeit mit der internationalen Literatur ist ein entscheidendes Kriterium bei der Wahl von Testinstrumenten. Zur Identifizierung der subjektiven zirkadianen Phasenlage (Chronotyp) werden im deutschen Sprachraum daher meist Ubersetzungen des Morningness-Eveningness-Questionnaires (MEQ, Horne & Ostberg, Int J Chronobiol 4:97–110, 1976) angewendet. In der vorliegenden Arbeit wurde die Validitat einer deutschen Ubersetzung des MEQ (D-MEQ) gepruft. Als Kriterien dienten der validierte Fragebogen zur subjektiven zirkadianen Phasenlage (SCP, R Moog, in Reinberg, Vieux, Andlauer (eds): night and shift work. Biological and social aspects. Pergamon Press Oxford, 1981) sowie der Nadir der Korperkerntemperatur und der Beginn der nachtlich erhohten Melatoninkonzentration im Speichel.

Monitoring eye and eyelid movements by infrared reflectance oculography to measure drowsiness in drivers

Abstract: Question of the study Drowsy driving is believed to be a major factor in road crashes, but currently cannot be assessed accurately. A new system of infrared (IR) reflectance oculography is described that uses transducers attached to a glasses frame to measure drivers' drowsiness continuously on a new scale (JDS). Driving in a car simulator was investigated in relation to JDS scores per minute.

Sleep staging using cardiorespiratory signals

Abstract: We recently investigated the possibility of obtaining simplified Sleep- Wake-REM sleep stage information from subjects being assessed for Obstructive Sleep Apnea Syndrome (OSAS), using only electrocardiogram and respiration signals The utility of such a system may be limited somewhat by the presence of OSAS in the patient group (in various degrees of severity) This study examines the effectiveness of such a system when applied to a subject group in which Sleep Disordered Breathing (SDB) is absent The study examined a database of 31 male subjects (Age = 420 ± 74 years, BMI = 307 ± 30 kg/m2) There was no significant presence of SDB in any of the subjects (AHI = 14 ± 12 events/h) A full polysomnography recording was obtained for each subject, including EEG, submental EMG and EOG for sleep stagingAn automated sleep-staging system based solely on a single electrocardiogram signal and an inductance plethysmogram estimate of respiratory effort was developed Features providing useful discrimination of sleep states were derived and the performance of both linear and quadratic discriminant classifiers were compared in correctly labeling 30-second epochs The use of a time-dependent a priori probability in the classifier models was also investigated The best performance obtained was achieved by a linear discriminant classifier model using a time-dependent a priori probability For a 3-class (W, S, R) system an agreement of κ = 045 was seen,which increases to κ = 057 when a simplified 2-class (W, S/R) system is considered This corresponds to an epoch sleep-wake classification accuracy of 89% Cardiorespiratory signals can provide sleep-wake staging accuracy which is comparable to actigraphy Classification accuracy is not significantly altered by the presence or absence of sleep disturbed breathing Cardiorespiratory-based sleep staging may be a useful addition to home sleep apnea monitoring systems

Automatic EOG analysis: A first step toward automatic drowsiness scoring during wake-sleep transitions

Abstract: The first developments for processing electroocculogram (EOG) signals in order to automatically score the drowsiness level of an active subject are presented. Such a tool will be used to validate drowsiness detection systems based on behavioural measurements. In addition, preliminary work on automatic drowsiness scoring by utilizing the Karolinska Drowsiness Score (KDS) is presented at the end of the paper. The originality of this blink detection algorithm is the analysis of EOG velocity based on expert rules. Our tool is applied to about 30 hours of EOGs and resulting blinks are compared with the blinks determined by visual analysis. More than 97.7 % of blinks are detected and less than 0.2 % of detected blinks are eye movements, except in two particular cases.

Validation and psychometric properties of the German version of the Children’s Sleep Habits Questionnaire (CSHQ-DE)

Abstract: Currently, no validated German-language self-report screening instrument exists for the assessment of sleep disorders in childhood. To translate the Children’s Sleep Habits Questionnaire (CSHQ-DE) into German and validate the German version. Based on a community sample of 298 parents of healthy children between 4 and 10 years of age and parents of a clinical sample of children (n=45) with sleep disorders, the factor structure and psychometric properties of the German translation were analyzed. All factors of the English version, including bedtime resistance, sleep-onset delay, sleep duration, sleep anxiety, night waking, sleep-disordered breathing, and parasomnias, were verified. Internal consistency was α=0.68; retest–reliability was r=0.76. The German version of the CSHQ can be used as a validated screening instrument to identify sleep-related disorders in children.