Literature DB >> 2276750

Functional assessment of control systems for cybernetic elbow prostheses--Part I: Description of the technique.

C J Abul-Haj1, N Hogan.   

Abstract

This paper (Part I of II) presents a novel control scheme with which an amputee commands an elbow prosthesis using myoelectric activity. By mimicking some important characteristics of the intact neuromuscular system, the proposed controller attempts to make the prosthesis respond as the natural elbow to both voluntary commands from the amputee and applied moments from the environment. Also presented is the description of a novel experiment for functionally assessing elbow prosthesis controllers. The experimental design calls for an amputee to perform a constrained motion task while operating a prosthesis capable of implementing a wide variety of controllers. Due to the nature of the constraint, the task emphasizes the prosthesis response to both inputs: voluntary commands and external moments. Application of the experiment to assessment of the proposed control scheme and the control scheme used in a state-of-the-art prosthesis is presented in Part II.

Mesh:

Year:  1990        PMID: 2276750

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  3 in total

1.  EMG-Force and EMG-Target Models During Force-Varying Bilateral Hand-Wrist Contraction in Able-Bodied and Limb-Absent Subjects.

Authors:  Ziling Zhu; Carlos Martinez-Luna; Jianan Li; Benjamin E McDonald; Chenyun Dai; Xinming Huang; Todd R Farrell; Edward A Clancy
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2021-01-28       Impact factor: 3.802

2.  Design, Implementation, and Evaluation of a Variable Stiffness Transradial Hand Prosthesis.

Authors:  Elif Hocaoglu; Volkan Patoglu
Journal:  Front Neurorobot       Date:  2022-03-10       Impact factor: 2.650

3.  sEMG-Based Natural Control Interface for a Variable Stiffness Transradial Hand Prosthesis.

Authors:  Elif Hocaoglu; Volkan Patoglu
Journal:  Front Neurorobot       Date:  2022-03-11       Impact factor: 2.650

  3 in total

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