Digital-Twin-Based Patient Evaluation during Stroke Rehabilitation

Author:

Chen Yilun1ORCID,Wang Wentao1ORCID,Diao Junyu1ORCID,Wang Daoyu23ORCID,Jian Zhuo2ORCID,Wang Yixi2ORCID,Jiang Zhihao14ORCID

Affiliation:

1. ShanghaiTech University, Shanghai, China

2. ZD Medtech, Shanghai, China

3. Academy for Engineering and Technology, Fudan University, Shanghai, China

4. Shanghai Engineering Research Center of Intelligent Vision and Imaging, Shanghai, China

Publisher

ACM

Reference29 articles.

1. A spatial explicit strategy reduces error but interferes with sensorimotor adaptation

2. Stroke rehabilitation: recent advances and future therapies

3. Etienne Burdet , David W Franklin , and Theodore E Milner . 2013. Human robotics: neuromechanics and motor control . MIT press . Etienne Burdet, David W Franklin, and Theodore E Milner. 2013. Human robotics: neuromechanics and motor control. MIT press.

4. Normalized Movement Quality Measures for Therapeutic Robots Strongly Correlate With Clinical Motor Impairment Measures

5. Responsiveness and minimal clinically important difference of Modified Ashworth Scale in patients with stroke;Chen Chia-Ling;European Journal of Physical and Rehabilitation Medicine,2019

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1. Digital Twins in Neuroscience;The Journal of Neuroscience;2024-07-31

2. Calibration of the Double Digital Twin for the Hand Rehabilitation by the Virtual Glove;2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS);2024-06-26

3. Digital Twins for Healthcare Using Wearables;Bioengineering;2024-06-13

4. ETHICA: Designing Human Digital Twins—A Systematic Review and Proposed Methodology;IEEE Access;2024

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