Lightweight Coordination of Multiple Independent Visual Analytics Tools

Schulz, Hans-Jörg; Röhlig, Martin; Nonnemann, Lars; Aehnelt, Mario; Diener, Holger; Urban, Bodo; Schumann, Heidrun

doi:10.5220/0007571101060117

Cited by 4 publications

(2 citation statements)

References 23 publications

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“…Fully integrating all tools into our software or replacing all their functionality with custom solutions is hardly possible. Instead, we follow a lightweight approach of loosely coupling individual tools into toolchains [40]. This way, ophthalmologists will be relieved from having to start, adjust, and transfer data to each required tool individually.…”

Section: Discussionmentioning

confidence: 99%

Enhanced Grid-Based Visual Analysis of Retinal Layer Thickness with Optical Coherence Tomography

et al. 2019

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Optical coherence tomography enables high-resolution 3D imaging of retinal layers in the human eye. The thickness of the layers is commonly assessed to understand a variety of retinal and systemic disorders. Yet, the thickness data are complex and currently need to be considerably reduced prior to further processing and analysis. This leads to a loss of information on localized variations in thickness, which is important for early detection of certain retinal diseases. We propose an enhanced grid-based reduction and exploration of retinal thickness data. Alternative grids are computed, their representation quality is rated, and best fitting grids for given thickness data are suggested. Selected grids are then visualized, adapted, and compared at different levels of granularity. A visual analysis tool bundles all computational, visual, and interactive means in a flexible user interface. We demonstrate the utility of our tool in a complementary analysis procedure, which eases the evaluation of ophthalmic study data. Ophthalmologists successfully applied our solution to study localized variations in thickness of retinal layers in patients with diabetes mellitus.

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Section: Discussionmentioning

confidence: 99%

Enhanced Grid-Based Visual Analysis of Retinal Layer Thickness with Optical Coherence Tomography

et al. 2019

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“…Afterwards, the view can be switched to a scatter plot diagram of the heart rate and heart rate variability in order to identify outliers. The presented tools can either be used independently or combined in a coordinated workflow based on lightweight coordination [16]. This is especially interesting for repetitive examinations.…”

Section: B View Modelmentioning

confidence: 99%

Health@Hand A Visual Interface for eHealth Monitoring

Nonnemann

Haescher

Aehnelt

et al. 2019

2019 IEEE Symposium on Computers and Communications (ISCC)

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The digitization within the healthcare sector is an extensive topic for multiple ICT technologies, such as Cloud Computing, Internet of Things (IoT), and Artificial Intelligence. Over the past years, there has been an increasing interest in the storage, evaluation and visual representation of medical data. This led to a substantial amount of independent eHealth technologies, that are primarily concerned with information gathering and management. However, the multitude of existing tools makes it is difficult for the user to understand global relationships between different management systems. Therefore, we present Health@Hand an IoT system for monitoring vital and administrative data in the digital twin of an intensive care unit (ICU). The main goal of our system is to summarize and process real-time data in order to assist medical experts such as physician, head-nurses or controllers in their daily tasks. Health@Hand achieves this by providing a visual interface for the management and analysis of different medical data sources.

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