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DC poleHodnotaJazyk
dc.contributor.authorBoumrah, Maryam
dc.contributor.authorGarbaya, Samir
dc.contributor.authorRadgui, Amina
dc.contributor.editorSkala, Václav
dc.date.accessioned2023-10-18T16:06:45Z
dc.date.available2023-10-18T16:06:45Z
dc.date.issued2023
dc.identifier.citationWSCG 2023: full papers proceedings: 1. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 368-378.en
dc.identifier.isbn978-80-86943-32-9
dc.identifier.issn2464–4617 (print)
dc.identifier.issn2464–4625 (CD/DVD)
dc.identifier.urihttp://hdl.handle.net/11025/54445
dc.format11 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.rights© Václav Skala - UNION Agencyen
dc.subjectvizuální analýzacs
dc.subjectvzdálené sledování pacientacs
dc.subjectmozková mrtvicecs
dc.subjectrehabilitacecs
dc.subjectdesign zaměřený na uživatelecs
dc.subjectKafkacs
dc.titleReal-Time Visual Analytics for Remote Monitoring of Patient’s Healthen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe recent proliferation of advanced data collection technologies for Patient Generated Health Data (PGHD) has made remote health monitoring more accessible. However, the complex nature of the big volume of medical generated data presents a significant challenge for traditional patient monitoring approaches, impeding the effective extraction of useful information. In this context, it is imperative to develop a robust and cost-effective framework that provides the scalability and deals with the heterogeneity of PGHD in real-time. Such a system could serve as a reference and would guide future research for monitoring patient undergoing a treatment at home conditions. This study presents a real-time visual analytics framework offering insightful visual representations of the multimodal big data. The proposed system was designed following the principles of User Centered Design (UCD) to ensure that it meets the needs and expectations of medical practitioners. The usability of this framework was evaluated by its application to the visualization of kinematic data of the upper limbs’ movement of patients during neuromotor rehabilitation exercises.en
dc.subject.translatedvisual analysisen
dc.subject.translatedpatient remote monitoringen
dc.subject.translatedbrain strokeen
dc.subject.translatedrehabilitationen
dc.subject.translateduser-centered designen
dc.subject.translatedKafkaen
dc.identifier.doihttps://www.doi.org/10.24132/CSRN.3301.61
dc.type.statusPeer-revieweden
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