Literature DB >> 26929055

Assistive Control System for Upper Limb Rehabilitation Robot.

Sung-Hua Chen, Wei-Ming Lien, Wei-Wen Wang, Guan-De Lee, Li-Chun Hsu, Kai-Wen Lee, Sheng-Yen Lin, Chia-Hsun Lin, Li-Chen Fu, Jin-Shin Lai, Jer-Junn Luh, Wen-Shiang Chen.   

Abstract

This paper presents an assistive control system with a special kinematic structure of an upper limb rehabilitation robot embedded with force/torque sensors. A dynamic human model integrated with sensing torque is used to simulate human interaction under three rehabilitation modes: active mode, assistive mode, and passive mode. The hereby proposed rehabilitation robot, called NTUH-ARM, provides 7 degree-of- freedom (DOF) motion and runs subject to an inherent mapping between the 7 DOFs of the robot arm and the 4 DOFs of the human arm. The Lyapunov theory is used to analyze the stability of the proposed controller design. Clinical trials have been conducted with six patients, one of which acts as a control. The results of these experiments are positive and STREAM assessment by physical therapists also reveals promising results.

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Year:  2016        PMID: 26929055     DOI: 10.1109/TNSRE.2016.2532478

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  2 in total

1.  The classification of movement intention through machine learning models: the identification of significant time-domain EMG features.

Authors:  Ismail Mohd Khairuddin; Shahrul Naim Sidek; Anwar P P Abdul Majeed; Mohd Azraai Mohd Razman; Asmarani Ahmad Puzi; Hazlina Md Yusof
Journal:  PeerJ Comput Sci       Date:  2021-02-25

2.  Safety Evaluation and Experimental Study of a New Bionic Muscle Cable-Driven Lower Limb Rehabilitation Robot.

Authors:  Yan Lin Wang; Ke Yi Wang; Kui Cheng Wang; Zong Jun Mo
Journal:  Sensors (Basel)       Date:  2020-12-08       Impact factor: 3.576

  2 in total

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