Literature DB >> 17282052

Life-like Control for Neural Prostheses: "Proximal Controls Distal".

Dejan Popovic1, Mirjana Popovic, Thomas Sinkjaer.   

Abstract

We describe the model and implementation of the hierarchical hybrid method for controlling of the lower-arm (pronation/supination and elbow flexion/extension) in humans with disabilities. The control follows the strategy found in ablebodied humans where the movement is planned based on the task and the most distal part of the arm; yet, the command starts from the most proximal segment. The controller uses a black box of the movement and relies on temporal and spatial synergies. The driving signals are the shoulder flexion/extension velocity and acceleration, the outputs are four stimulation patterns for the control of elbow flexion/extension and pronation/supination. The operation is discrete at the voluntary and coordination levels, and continuous at the actuator level. The repertoire of movement that were considered was limited to a set of typical daily activities within the normal workspace in the sitting position only. The main application of this control is the therapeutic electrical stimulation in post-stroke hemiplegic patients.

Entities:  

Year:  2005        PMID: 17282052     DOI: 10.1109/IEMBS.2005.1616283

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

1.  A Robust Parameterization of Human Gait Patterns Across Phase-Shifting Perturbations.

Authors:  Dario J Villarreal; Hasan A Poonawala; Robert D Gregg
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2016-05-13       Impact factor: 3.802

2.  Shoulder kinematics plus contextual target information enable control of multiple distal joints of a simulated prosthetic arm and hand.

Authors:  Sébastien Mick; Effie Segas; Lucas Dure; Christophe Halgand; Jenny Benois-Pineau; Gerald E Loeb; Daniel Cattaert; Aymar de Rugy
Journal:  J Neuroeng Rehabil       Date:  2021-01-06       Impact factor: 4.262

3.  A novel framework for designing a multi-DoF prosthetic wrist control using machine learning.

Authors:  Chinmay P Swami; Nicholas Lenhard; Jiyeon Kang
Journal:  Sci Rep       Date:  2021-07-22       Impact factor: 4.379

  3 in total

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