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  • 1
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Springer
    UID:
    b3kat_BV046325255
    Format: 1 Online-Ressource (XII, 185 p. 46 illus., 34 illus. in color)
    Edition: 1st ed. 2020
    ISBN: 9783030341718
    Series Statement: T-Labs Series in Telecommunication Services
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-34170-1
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-34172-5
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-34173-2
    Language: English
    Keywords: Hochschulschrift
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    b3kat_BV046978337
    Format: xii, 185 Seiten , Illustrationen, Diagramme
    ISBN: 9783030341701
    Series Statement: T-Labs series in telecommunication services
    Note: Dissertation Technische Universität Berlin 2019
    Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-3-030-34171-8
    Language: English
    Keywords: Hochschulschrift
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    UID:
    edochu_18452_27786
    Format: 1 Online-Ressource (14 Seiten)
    Content: Data integration, data sharing, and standardized analyses are important enablers for data-driven medical research. Circadian medicine is an emerging field with a particularly high need for coordinated and systematic collaboration between researchers from different disciplines. Datasets in circadian medicine are multimodal, ranging from molecular circadian profiles and clinical parameters to physiological measurements and data obtained from (wearable) sensors or reported by patients. Uniquely, data spanning both the time dimension and the spatial dimension (across tissues) are needed to obtain a holistic view of the circadian system. The study of human rhythms in the context of circadian medicine has to confront the heterogeneity of clock properties within and across subjects and our inability to repeatedly obtain relevant biosamples from one subject. This requires informatics solutions for integrating and visualizing relevant data types at various temporal resolutions ranging from milliseconds and seconds to minutes and several hours. Associated challenges range from a lack of standards that can be used to represent all required data in a common interoperable form, to challenges related to data storage, to the need to perform transformations for integrated visualizations, and to privacy issues. The downstream analysis of circadian rhythms requires specialized approaches for the identification, characterization, and discrimination of rhythms. We conclude that circadian medicine research provides an ideal environment for developing innovative methods to address challenges related to the collection, integration, visualization, and analysis of multimodal multidimensional biomedical data.
    Content: Peer Reviewed
    In: Oxford [u.a.] : Wiley-Blackwell, 237,4
    Language: English
    URL: Volltext  (kostenfrei)
    Library Location Call Number Volume/Issue/Year Availability
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