Das Projekt SIESTA

Rappelsberger, Peter; Trenker, E.; Rothmann, C.; Gruber, Göran; Sykacek, P.; Roberts, St.; Klösch, Gerhard; Zeitlhofer, J.; Anderer, P.; Saletu, B.; Schlögl, Alois; Varri, Anna Lisa; Kemp, Barbara E.; Penzel, Thomas; Herrmann, Walter; Hasan, Joel; Barbanoj, M.J.; Röschke, Joachim; Kunz, Dieter; Dorffner, Georg

doi:10.1055/s-2001-16206

Cited by 11 publications

(9 citation statements)

References 6 publications

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“…From previous studies, it is known that there is a considerable human error in the classification of sleep stages [16]. Therefore, the Siesta project [17,18] funded by the European Community was initiated to record high-quality sleep in humans and provide an accurate and robust sleep classification. In order to compare the sleep of healthy subjects to clinical findings, the Siesta project recorded the sleep of patients with sleep disorders as well.…”

Section: Datamentioning

confidence: 99%

“…An effort was made to include a similar number of male and female subjects. All subjects were recorded in a sleep center for two subsequent nights using cardiorespiratory polysomnography with EEG, EOG, EMG for at least 6 h and usually 8 h, if possible [18]. In addition to this, 98 subjects with different sleep disorders were recorded using the same protocol including subjects with sleep apnoea, insomnia, restless legs syndrome, periodic leg movements, depression and anxiety disorders.…”

Section: Datamentioning

confidence: 99%

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Changes of sleep-stage transitions due to ageing and sleep disorder

Schlemmer

Parlitz

Wessel

et al. 2015

Phil. Trans. R. Soc. A.

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Section: Datamentioning

confidence: 99%

Section: Datamentioning

confidence: 99%

Changes of sleep-stage transitions due to ageing and sleep disorder

Schlemmer

Parlitz

Wessel

et al. 2015

Phil. Trans. R. Soc. A.

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“…These tasks should be accomplished by applying the recently developed automatic sleep classifi er Somnolyzer 24 ! 7 based on the criteria by Rechtschaffen and Kales [42] as well as the Siesta database [43,44] .…”

Section: Introductionmentioning

confidence: 99%

Insomnia in Somatoform Pain Disorder: Sleep Laboratory Studies on Differences to Controls and Acute Effects of Trazodone, Evaluated by the Somnolyzer 24 × 7 and the Siesta Database

et al. 2005

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Patients with chronic pain often suffer from sleep disturbances, specifically decreased deep sleep, and thus may get into a vicious circle which maintains their pain condition. Utilizing polysomnography and psychometry, objective and subjective sleep and awakening quality was investigated in 11 patients with nonorganic insomnia (F51.0) related to somatoform pain disorder (SPD; F45.4) as compared with age- and sex-matched healthy controls of the Siesta normative database. Patients demonstrated a markedly deteriorated Pittsburgh Sleep Quality Index, a decreased Quality of Life Index, slightly increased self-reported anxiety (Zung SAS) and depression scores (Zung SDS), as well as an increased Epworth Sleepiness Scale and International Restless Legs Syndrome Scale score. Subjective sleep and awakening quality was markedly reduced, while somatic complaints were increased. Polysomnographic evaluation by a recently developed automatic sleep classifier (Somnolyzer 24 × 7) based on the rules of Rechtschaffen and Kales demonstrated reduced slow-wave sleep (SWS), the target variable in the present study, a decreased stage shift index, increased SWS latency and stage 4 sleep (S4) latency and an increased frequency of shifts from S2 to wakefulness (W) in patients as compared with controls. Minimal oxygen saturation was found decreased, periodic leg movements (PLMs) were increased. In the morning, patients showed deteriorated well-being, drive, mood and wakefulness. There were no significant noopsychic or psychophysiological differences between patients and controls (except for a reduced numerical memory and a slightly increased morning diastolic blood pressure in patients). Subsequent evaluation of the acute effects of 100 mg of a controlled-release formulation of trazodone (Trittico^® retard) in the patients demonstrated an increase in the target variable SWS, accompanied by a reduction in the number of awakenings and stage shifts. It normalized the frequency of shifts from S2 to W and reduced the frequency of shifts from W to S1, from S1 to S2, as well as from any stage to S1 and S2. Trazodone, however, also significantly reduced the total sleep period and S2 and increased the latency to S1. Moreover, the drug increased the reduced minimal O₂saturation, reduced the arousal index and the PLMs-in-wake index and normalized the increased morning diastolic blood pressure. In conclusion, our study demonstrated that SPD induced significant changes in subjective and objective sleep and awakening quality, which were partially mitigated by trazodone therapy. The data on the target variable SWS support our hypothesis of a key-lock principle in the diagnosis and drug treatment of sleep disorders. Our study provided the first evidence on the usefulness of the Somnolyzer 24 × 7 and the Siesta database in clinical practice.

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“…In order to automate this task many attempts were made in the past and are currently made to develop computer based sleep scoring. One major effort a few years ago was performed as part of a European Union funded project, called SIESTA [2,3]. As the first step in this particular project a large database of sleep recordings was collected.…”

Section: Introductionmentioning

confidence: 99%

The SIESTA database and the SIESTA sleep analyzer

Penzel

Glos

García

et al. 2011

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Sleep research and sleep medicine require the recording of biosignals during sleep and their subsequent analysis. The sleep recording is called cardiorespiratory polysomnography. Currently the analysis of the recorded signals is performed by experienced and certified sleep technicians. In addition to visual sleep scoring many attempts had been made to develop computer assisted sleep analysis. In order to develop a computer assisted sleep analysis a systematic database with sleep recording from 200 healthy subjects and of 100 subjects with selected sleep disorders of high prevalence had been compiled as part of a European Commission funded research project. This database was the start for a normative polysomnography database and for the development of a computer based sleep analysis. The computer based sleep analysis is available as an internet service and is now used by many sleep centers for sleep research questions and clinical sleep evaluation in patients with sleep disorders.

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Das Projekt SIESTA

Cited by 11 publications

References 6 publications

Changes of sleep-stage transitions due to ageing and sleep disorder

Changes of sleep-stage transitions due to ageing and sleep disorder

Insomnia in Somatoform Pain Disorder: Sleep Laboratory Studies on Differences to Controls and Acute Effects of Trazodone, Evaluated by the Somnolyzer 24 × 7 and the Siesta Database

The SIESTA database and the SIESTA sleep analyzer

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