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Assisting Standing Balance Recovery for Parkinson’s Patients with a Lower-Extremity Exoskeleton Robot

Title: Assisting Standing Balance Recovery for Parkinson’s Patients with a Lower-Extremity Exoskeleton Robot
Authors: Chi-Shiuan Lee; Lo-Ping Yu; Si-Huei Lee; Yi-Chia Chen; Chun-Ta Chen
Source: Sensors ; Volume 24 ; Issue 23 ; Pages: 7498
Publisher Information: Multidisciplinary Digital Publishing Institute
Publication Year: 2024
Collection: MDPI Open Access Publishing
Subject Terms: exoskeleton robot; lower-extremity; standing balance assistance; zero moment point; fuzzy sliding mode control; Parkinson’s disease
Description: Parkinson’s disease (PD) is a neurodegenerative disorder and always results in balance loss. Although studies in lower-extremity exoskeleton robots are ample, applications with a lower-extremity exoskeleton robot for PD patients are still challenging. This paper aims to develop an effective assistive control for PD patients with a lower-extremity exoskeleton robot to maintain standing balance while being subjected to external disturbances. When an external force is applied to participants to force them to lose balance, the hip strategy for balance recovery based on the zero moment point (ZMP) metrics is used to generate a reference trajectory of the hip joint, and then, a model-free linear extended state observer (LESO)-based fuzzy sliding mode control (FSMC) is synthesized to regulate the human body to recover balance. Balance recovery trials for healthy individuals and PD patients with and without exoskeleton assistance were conducted to evaluate the performance of the proposed exoskeleton robot and balance recovery strategy. Our experiments demonstrated the potential effectiveness of the proposed exoskeleton robot and controller for standing balance recovery control in PD patients.
Document Type: text
File Description: application/pdf
Language: English
Relation: Sensors and Robotics; https://dx.doi.org/10.3390/s24237498
DOI: 10.3390/s24237498
Availability: https://doi.org/10.3390/s24237498
Rights: https://creativecommons.org/licenses/by/4.0/
Accession Number: edsbas.203DA3CC
Database: BASE