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Enhancing wrist telerehabilitation : integrating haptic feedback and remote evaluation models
Citation Link: https://doi.org/10.15480/882.13656
Publikationstyp
Conference Paper
Date Issued
2024-09-20
Sprache
English
TORE-DOI
Citation
58th Annual Conference of the German Society for Biomedical Engineering, BMT 2024
Contribution to Conference
A new telerehabilitation system is introduced for stroke patients with hemiparesis. It consists of two internet-connected robots for remote wrist rehabilitation. A cloud-based website serves as a centralized interface for patients and doctors, allowing remote control of the system during therapy sessions. To enhance the haptic feedback and stability of the system, a torque/velocity control algorithm is implemented. These control algorithms incorporate damping and spring terms from an impedance control algorithm to synchronize and maintain the positions of both end effectors. Additionally, a wrist evaluation model has been introduced to calculate stiffness and damping coefficients, essential for monitoring patient progress and improving treatment efficacy. The wrist model is evaluated using multiple linear regression method. Experimental testing demonstrates the potential of the proposed approach in enhancing telerehabilitation system performance.
Subjects
Wrist Telerehabilitation System
Stroke Patients
Haptic Feedback
Remote Control
Regression Method
DDC Class
610: Medicine, Health
004: Computer Sciences
616: Deseases
Publication version
publishedVersion
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Name
BMT Conf. Final.pdf
Type
Main Article
Size
214.94 KB
Format
Adobe PDF