Sadeghi Aval Shahr, MohammadMohammadSadeghi Aval ShahrRottke, VanessaVanessaRottkeAbbasimoshaei, AlirezaAlirezaAbbasimoshaeiKern, Thorsten AlexanderThorsten AlexanderKern2024-11-182024-11-182024-09-2058th Annual Conference of the German Society for Biomedical Engineering, BMT 2024https://hdl.handle.net/11420/51826A 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.enhttps://creativecommons.org/licenses/by/4.0/Wrist Telerehabilitation SystemStroke PatientsHaptic FeedbackRemote ControlRegression MethodTechnology::610: Medicine, HealthComputer Science, Information and General Works::004: Computer SciencesTechnology::616: DeseasesConference Paper10.15480/882.1365610.15480/882.13656Conference Paper