Objective
- To develop an enhanced computer-based system for analyzing polysomnographies, which is reliable, reproducible, does not rely on rules to be interpreted by humans, describes sleep on a smaller temporal resolution and goes beyond the classical discrete status.
- To obtain an increased understanding of the contribution of particular variables to sleep analysis, which previously have not been considered extensively for sleep scoring.
- To arrive at an improved description of sleep for subjects which do not fall into the categories of R&K - e.g. elderly persons, sleep disturbed patients, and so on.
This project aims at extensive novel research on the architecture of nocturnal human sleep, as well as the development and evaluation of advanced methods for sleep analysis, based on polygraphic measurements, most prominently electroencephalography (EEG). The main need for a novel standard of modelling sleep comes from the limits of the only widely accepted standard -- a sleep manual according to Rechtschaffen & Kales -- and the increasing dissatisfaction with it among clinicians.
SIESTA aims at a computerized system for analyzing sleep that:
- has a higher temporal resolution
- describes major parts of sleep as a continuum
- does not depend on subjective rules
- incorporates a great variety of biosignals
- is validated on a large corpus of data (normals + patients with sleep disturbances)
Sleep analysis is of vital importance for the diagnosis and treatment of various kinds of sleep disturbances and psychiatric or neurological disorders. Chronic disturbed sleep has a decisive influence on health. If sleep is not able to fulfil its functions of alleviating tiredness, this can influence behavior and mood during the day, causing inefficiency at work, absenteeism, or even accidents. Furthermore, disturbed sleep will also influence the severity of diseases. By improving the basis for monitoring and treatment of sleep disturbances, SIESTA will greatly contribute to the improvement of European public health, and the efficiency of its workforce. SIESTA promises to reach the critical mass for performing focused and validated research and developing a new standard for sleep analysis that can tremendously improve the foundation of the field.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences clinical medicine psychiatry sleep disorders
- medical and health sciences health sciences public health
- social sciences economics and business business and management employment
- medical and health sciences basic medicine neurology
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Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
1010 Wien
Austria
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.