Work

Adaptive Robot-Assisted Telerehabilitation System Using Model Predictive Control and Digital Twin for Personalized Upper Limb Therapy

Year: 2025

Type: article

Abstract: Smart rehabilitation systems have revolutionized the delivery of upper limb therapy, with treatments that aremore accurate, adaptive, and patient-focused. An advanced rehabilitation system integrating Model PredictiveControl (MPC), Digital Twin visualization, and Augmented Reality (AR) interfaces ensures personalized andadaptive therapy. Real-time data are processed by the system with low latency of 10 ms, reducing X, Y, and Zaxes trajectory tracking errors. The system changes treatment from 80 units to 79.85 units according to thepatient's level of fatigue (0.5) and enhances comfort and rehabilitation results.

Source: Journal of Science and Technology

DOI: 10.46243/jst.2025.v10.i02.pp86-94.1185

Authors: Sri Harsha Grandhi, Dinesh Kumar Reddy Basani, Raj Kumar Gudivaka, Rajya Lakshmi Gudivaka, Basava Ramanjaneyulu Gudivaka, Sundarapandian Murugesan, M M Kamruzzaman

Institutions: Jouf University, Intel (United States)

Language: English

Topic: Prosthetics and Rehabilitation Robotics

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W4413701202

FWCI: 0.241

Cites:

Cited by: 1

Related to: 10