The Human Digital Twin Revolutionising Stroke Therapy Management through Data Visualization
| dc.contributor.author | ZHANG, PANPAN | |
| dc.contributor.department | Chalmers tekniska högskola / Institutionen för data och informationsteknik | sv |
| dc.contributor.department | Chalmers University of Technology / Department of Computer Science and Engineering | en |
| dc.contributor.examiner | Dahlstedt, Palle | |
| dc.contributor.supervisor | Wideström, Josef | |
| dc.date.accessioned | 2024-01-12T12:09:24Z | |
| dc.date.available | 2024-01-12T12:09:24Z | |
| dc.date.issued | 2023 | |
| dc.date.submitted | 2023 | |
| dc.description.abstract | This study delves into the innovative paradigm of the Human Digital Twin within the domain of stroke therapy management. Its primary focus lies in the design and implementation of a dedicated dashboard, specifically tailored for therapists, to facilitate patient management and interaction through data visualisation. Employing data sourced from exoskeleton devices, the project generates a virtual representation, or avatar, of patients within the dashboard interface. This avatar serves as a dynamic conduit through which patient progress can be effectively monitored and evaluated during the course of stroke therapy. Throughout the project’s trajectory, an array of diverse design methodologies has been strategically employed, with the overarching aim of achieving a human-centred design framework. By infusing various design principles, user-centric perspectives, and iterative feedback loops, the project endeavours to ensure that the resulting dashboard is intuitive, user-friendly, and effective in addressing therapists’ and patients’ needs. Leveraging the inherent capabilities of data visualisation, contribute to a paradigm shift in the domain of stroke therapy management, thereby optimising patient outcomes and catalysing a transformative evolution in the manner in which rehabilitation strategies are conceptualised and executed. | |
| dc.identifier.coursecode | DATX05 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12380/307519 | |
| dc.language.iso | eng | |
| dc.setspec.uppsok | Technology | |
| dc.subject | Interaction design | |
| dc.subject | Dashboard design | |
| dc.subject | Data visualization | |
| dc.subject | User experience | |
| dc.subject | Design methodology | |
| dc.subject | Stroke rehabilitation | |
| dc.title | The Human Digital Twin Revolutionising Stroke Therapy Management through Data Visualization | |
| dc.type.degree | Examensarbete för masterexamen | sv |
| dc.type.degree | Master's Thesis | en |
| dc.type.uppsok | H | |
| local.programme | Interaction design and technologies (MPIDE), MSc |