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Literature DB >> 11211663

Cloning biological synergies improves control of elbow neuroprosthesis.

M Popovic¹, D Popovic.

Abstract

Mesh：

Year: 2001 PMID： 11211663 DOI： 10.1109/51.897830

Source DB: PubMed Journal: IEEE Eng Med Biol Mag ISSN： 0739-5175

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10 in total

1. Functional reorganization of upper-body movement after spinal cord injury.

Authors: Maura Casadio; Assaf Pressman; Alon Fishbach; Zachary Danziger; Santiago Acosta; David Chen; Hsiang-Yi Tseng; Ferdinando A Mussa-Ivaldi
Journal: Exp Brain Res Date: 2010-10-24 Impact factor: 1.972

2. Feasibility of EMG-based neural network controller for an upper extremity neuroprosthesis.

Authors: Juan Gabriel Hincapie; Robert F Kirsch
Journal: IEEE Trans Neural Syst Rehabil Eng Date: 2009-02 Impact factor: 3.802

3. Candidates for synergies: linear discriminants versus principal components.

Authors: Ramana Vinjamuri; Vrajeshri Patel; Michael Powell; Zhi-Hong Mao; Nathan Crone
Journal: Comput Intell Neurosci Date: 2014-07-17

4. Online Estimation of Elbow Joint Angle Using Upper Arm Acceleration: A Movement Partitioning Approach.

Authors: M Farokhzadi; A Maleki; A Fallah; S Rashidi
Journal: J Biomed Phys Eng Date: 2017-09-01

5. 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

6. 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

Cloning biological synergies improves control of elbow neuroprosthesis.

1. Functional reorganization of upper-body movement after spinal cord injury.

2. Feasibility of EMG-based neural network controller for an upper extremity neuroprosthesis.

3. Candidates for synergies: linear discriminants versus principal components.

4. Online Estimation of Elbow Joint Angle Using Upper Arm Acceleration: A Movement Partitioning Approach.

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

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

7. Temporal Synergies Detection in Gait Cyclograms Using Wearable Technology.

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

9. Muscle synergy space: learning model to create an optimal muscle synergy.

Review 10. A Muscle Synergy-Inspired Adaptive Control Scheme for a Hybrid Walking Neuroprosthesis.