Sadeghi Aval Shahr, MohammadMohammadSadeghi Aval ShahrRottke, VanessaVanessaRottkeAbbasimoshaei, AlirezaAlirezaAbbasimoshaeiKern, Thorsten AlexanderThorsten AlexanderKern2025-01-092025-01-092024-12-19Current Directions in Biomedical Engineering 10 (4): 1-4 (2024)https://tore.tuhh.de/handle/11420/52828Stroke patients with hemiparesis often face significant challenges in accessing consistent and effective rehabilitation therapy due to limitations in mobility and the availability of specialized care. To address this, anew 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 isimplemented. 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. Thewrist model is evaluated using multiple linear regressionmethod. Experimental testing demonstrates the potential of the proposed approach in enhancing telerehabilitation system performance.en2364-55042024414Walter de Gruyter GmbHhttps://creativecommons.org/licenses/by/4.0/Technology::610: Medicine, HealthComputer Science, Information and General Works::004: Computer SciencesJournal Articlehttps://doi.org/10.15480/882.1417610.1515/cdbme-2024-200110.15480/882.14176Journal Article