ArticleMicromachines2022
Design and Development of a Smart IoT-Based Robotic Solution for Wrist Rehabilitation.
Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Hybrid EMG-NMES control for real-time muscle fatigue reduction in bionic hands.Scientific reports · 2025Article
- An Optimized Stimulation Control System for Upper Limb Exoskeleton Robot-Assisted Rehabilitation Using a Fuzzy Logic-Based Pain Detection Approach.Sensors (Basel, Switzerland) · 2024Article
- Development of a New Control System for a Rehabilitation Robot Using Electrical Impedance Tomography and Artificial Intelligence.Biomimetics (Basel, Switzerland) · 2023Article
- Low-Density sEMG-Based Pattern Recognition of Unrelated Movements Rejection for Wrist Joint Rehabilitation.Micromachines · 2023Article
- Robot-Assisted Rehabilitation Architecture Supported by a Distributed Data Acquisition System.Sensors (Basel, Switzerland) · 2022Article
- Microrobots in Micromachines.Micromachines · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
In this study, we present an IoT-based robot for wrist rehabilitation with a new protocol for determining the state of injured muscles as well as providing dynamic model parameters. In this model, the torque produced by the robot and the torque provided by the patient are determined and updated taking into consideration the constraints of fatigue. Indeed, in the proposed control architecture based on the EMG signal extraction, a fuzzy classifier was designed and implemented to estimate muscle fatigue. Based on this estimation, the patient's torque is updated during the rehabilitation session. The first step of this protocol consists of calculating the subject-related parameters. This concerns axis offset, inertial parameters, passive stiffness, and passive damping. The second step is to determine the remaining component of the wrist model, including the interaction torque. The subject must perform the desired movements providing the torque necessary to move the robot in the desired direction. In this case, the robot applies a resistive torque to calculate the torque produced by the patient. After that, the protocol considers the patient and the robot as active and all exercises are performed accordingly. The developed robotics-based solution, including the proposed protocol, was tested on three subjects and showed promising results.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.