Literature DB >> 26736792

Exploiting arm posture synergies in activities of daily living to control the wrist rotation in upper limb prostheses: A feasibility study.

Federico Montagnani, Marco Controzzi, Christian Cipriani.   

Abstract

Although significant technological advances have been made in the last forty years, natural and effortless control of upper limb prostheses is still an open issue. Commercially available myoelectric prostheses present limited Degrees of Freedom (DoF) mainly because of the lack of available and reliable independent control signals from the human body. Thus, despite the crucial role that an actuated wrist could play in a transradial prosthesis in terms of avoiding compensatory movements, commercial hand prostheses present only manually adjustable passive wrists or actuated rotators controlled by (unnatural) sequential control strategies. In the present study we investigated the synergies between the humeral orientation with respect to the trunk and the forearm pronation/supination angles during the execution of a wide range of activities of daily living, in healthy subjects. Our results showed consistent postural synergies between the two selected body segments for almost the totality of the activities of daily living under investigation. This is a promising result because these postural synergies could be exploited to automatically control the wrist rotator unit in transradial prostheses improving the fluency and the dexterity of the amputee.

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Year:  2015        PMID: 26736792     DOI: 10.1109/EMBC.2015.7318892

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


  4 in total

1.  Movement-Based Control for Upper-Limb Prosthetics: Is the Regression Technique the Key to a Robust and Accurate Control?

Authors:  Mathilde Legrand; Manelle Merad; Etienne de Montalivet; Agnès Roby-Brami; Nathanaël Jarrassé
Journal:  Front Neurorobot       Date:  2018-07-26       Impact factor: 2.650

2.  Design and Assessment of Control Maps for Multi-Channel sEMG-Driven Prostheses and Supernumerary Limbs.

Authors:  Michele Maimeri; Cosimo Della Santina; Cristina Piazza; Matteo Rossi; Manuel G Catalano; Giorgio Grioli
Journal:  Front Neurorobot       Date:  2019-05-29       Impact factor: 2.650

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

4.  Can We Achieve Intuitive Prosthetic Elbow Control Based on Healthy Upper Limb Motor Strategies?

Authors:  Manelle Merad; Étienne de Montalivet; Amélie Touillet; Noël Martinet; Agnès Roby-Brami; Nathanaël Jarrassé
Journal:  Front Neurorobot       Date:  2018-02-02       Impact factor: 2.650

  4 in total

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