Data Analytics and Visualization in Bimanual Rehabilitation Monitoring Systems: A User-Centered Design Approach to Healthcare Professionals Decision Support

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dc.contributor.authorWisedsri P.
dc.contributor.authorAnutariya C.
dc.contributor.authorSujarae A.
dc.contributor.authorVachalathiti R.
dc.contributor.authorBovonsunthonchai S.
dc.contributor.correspondenceWisedsri P.
dc.contributor.otherMahidol University
dc.date.accessioned2025-01-22T18:11:20Z
dc.date.available2025-01-22T18:11:20Z
dc.date.issued2024-01-01
dc.description.abstractThis study presents the design of a user-centered data visualization dashboard for stroke rehabilitation, which integrates the principles of visualization data analytics techniques in the field of healthcare. Addressing the complexities of visualizing for robotic bimanual rehabilitation, the design introduces novel methods to enhance data visualization, broadening monitoring capabilities, and improving the clarity of torque data. These enhancements lead to a clearer understanding of patient robot interactions. A prototype has been developed to visualize transparent torque data from a bimanual master slave robotic system, enabling healthcare professionals to monitor patient progress effectively. The dashboard features intuitive visual representations of master, slave, and assistive torques, simulating elbow joint movements through line and sunburst charts. Feedback from rehabilitation therapists during the design process ensures that the visualization approach is aligned with clinical needs. The findings suggest that the system can assist physiotherapists in devising personalized treatment strategies by providing actionable insights from the recorded data. However, additional research is needed to integrate real clinical data into the system for further enhancement and validation. This innovation has the potential to significantly improve stroke rehabilitation effectiveness and patient outcomes through a bimanual rehabilitation visualization and decision support system.
dc.identifier.citationProceedings of the International Conference on Electrical Engineering and Informatics (2024) , 46-50
dc.identifier.doi10.1109/ICELTICs62730.2024.10776145
dc.identifier.issn21556830
dc.identifier.scopus2-s2.0-85214680551
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/102711
dc.rights.holderSCOPUS
dc.subjectComputer Science
dc.subjectEngineering
dc.titleData Analytics and Visualization in Bimanual Rehabilitation Monitoring Systems: A User-Centered Design Approach to Healthcare Professionals Decision Support
dc.typeConference Paper
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85214680551&origin=inward
oaire.citation.endPage50
oaire.citation.startPage46
oaire.citation.titleProceedings of the International Conference on Electrical Engineering and Informatics
oairecerif.author.affiliationMahidol University
oairecerif.author.affiliationAsian Institute of Technology Thailand
oairecerif.author.affiliationLtd
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