Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Sunday, December 1, 2024

Human Digital Twins in Rehabilitation: A Case Study on Exoskeleton and Serious-Game-Based Stroke Rehabilitation Using the ETHICA Methodology

I'm thinking this is action observation of yourself. But ask your competent? doctor to explain how this will get you recovered.

 Human Digital Twins in Rehabilitation: A Case Study on Exoskeleton and Serious-Game-Based Stroke Rehabilitation Using the ETHICA Methodology

MARTIN W. LAUER-SCHMALTZ1, PHILIP CASH2, JOHN P. HANSEN1, and NEHA DAS3 1 Department of Technology, Management and Economics, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark (e-mail: mwola@dtu.dk, jpha@dtu.dk) 2 School of Design, Northumbria University, Newcastle upon Tyne NE1 8ST, United Kingdom (philip.cash@northumbria.ac.uk) 3 Chair of Information-Oriented Control, TUM School of Computation, Information and Technology, Technical University of Munich, 80333 Munich, Germany (neha.das@tum.de) Corresponding author: Martin W. Lauer-Schmaltz (e-mail: mwola@dtu.dk). This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 871767.

ABSTRACT 


Human Digital Twins (HDTs) hold significant potential to transform physical rehabilitation by monitoring patient conditions and personalizing therapeutic interventions. However, practical applications of HDTs in stroke rehabilitation remain limited. This paper presents the design and implementation of an HDT system for upper-limb stroke rehabilitation using exoskeletons and serious games, following the ETHICA methodology. Our system demonstrates how HDTs can enable real-time adjustments to therapy difficulty and exoskeleton assistance based on patient conditions, enhance collaboration between medical and non-medical stakeholders through data visualizations and decision-support mechanisms, and boost patient engagement through personalized feedback. Further, we developed a motion-based muscle fatigue estimation algorithm, predicting muscle fatigue on a continuous scale from 0 to 100% based on movement speed variations, and a compensatory movement detection model, trained with 1590 data samples, which detects unnatural supportive movements with 96% accuracy. Finally, we highlight key implications for the field, including i) the need for interdisciplinary collaboration to address human factors and sensor technology limitations; ii) the importance of aligning HDT components to avoid incompatibilities; iii) the value of user-centered design for increasing HDT usability and acceptance, and iv) the potential of HDT embodiments for enhancing user engagement and rehabilitation outcomes. Together, these insights provide a roadmap for advancing HDT research and its application in physical rehabilitation.

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