Literature DB >> 25569980

Body machine interfaces for neuromotor rehabilitation: a case study.

Camilla Pierella, Farnaz Abdollahi, Ali Farshchiansadegh, Jessica Pedersen, David Chen, Ferdinando A Mussa-Ivaldi, Maura Casadio.   

Abstract

High-level spinal cord injury (SCI) survivors face every day two related problems: recovering motor skills and regaining functional independence. Body machine interfaces (BoMIs) empower people with sever motor disabilities with the ability to control an external device, but they also offer the opportunity to focus concurrently on achieving rehabilitative goals. In this study we developed a portable, and low-cost BoMI that addresses both problems. The BoMI remaps the user's residual upper body mobility to the two coordinates of a cursor on a computer monitor. By controlling the cursor, the user can perform functional tasks, such as entering text and playing games. This framework also allows the mapping between the body and the cursor space to be modified, gradually challenging the user to exercise more impaired movements. With this approach, we were able to change the behavior of our SCI subject, who initially used almost exclusively his less impaired degrees of freedom - on the left side - for controlling the BoMI. At the end of the few practice sessions he had restored symmetry between left and right side of the body, with an increase of mobility and strength of all the degrees of freedom involved in the control of the interface. This is the first proof of concept that our BoMI can be used to control assistive devices and reach specific rehabilitative goals simultaneously.

Entities:  

Mesh:

Year:  2014        PMID: 25569980      PMCID: PMC4386866          DOI: 10.1109/EMBC.2014.6943612

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


  9 in total

Review 1.  Plasticity of the spinal neural circuitry after injury.

Authors:  V Reggie Edgerton; Niranjala J K Tillakaratne; Allison J Bigbee; Ray D de Leon; Roland R Roy
Journal:  Annu Rev Neurosci       Date:  2004       Impact factor: 12.449

2.  Body machine interface: remapping motor skills after spinal cord injury.

Authors:  M Casadio; A Pressman; S Acosta; Z Danzinger; A Fishbach; F A Mussa-Ivaldi; K Muir; H Tseng; D Chen
Journal:  IEEE Int Conf Rehabil Robot       Date:  2011

3.  Robotic training and kinematic analysis of arm and hand after incomplete spinal cord injury: a case study.

Authors:  Z Kadivar; J L Sullivan; D P Eng; A U Pehlivan; M K O'Malley; N Yozbatiran; G E Francisco
Journal:  IEEE Int Conf Rehabil Robot       Date:  2011

4.  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

5.  Spinal cord injury facts and figures at a glance.

Authors: 
Journal:  J Spinal Cord Med       Date:  2014-03       Impact factor: 1.985

Review 6.  The body-machine interface: a new perspective on an old theme.

Authors:  Maura Casadio; Rajiv Ranganathan; Ferdinando A Mussa-Ivaldi
Journal:  J Mot Behav       Date:  2012       Impact factor: 1.328

7.  Targeting recovery: priorities of the spinal cord-injured population.

Authors:  Kim D Anderson
Journal:  J Neurotrauma       Date:  2004-10       Impact factor: 5.269

Review 8.  Systematic review of the effects of exercise therapy on the upper extremity of patients with spinal-cord injury.

Authors:  M G M Kloosterman; G J Snoek; M J A Jannink
Journal:  Spinal Cord       Date:  2008-09-30       Impact factor: 2.772

9.  A body-machine interface for the control of a 2D cursor.

Authors:  Ismael Seáñez; Ferdinando A Mussa-Ivaldi
Journal:  IEEE Int Conf Rehabil Robot       Date:  2013-06
  9 in total
  10 in total

1.  Static Versus Dynamic Decoding Algorithms in a Non-Invasive Body-Machine Interface.

Authors:  Ismael Seanez-Gonzalez; Camilla Pierella; Ali Farshchiansadegh; Elias B Thorp; Farnaz Abdollahi; Jessica P Pedersen; Ferdinando A Sandro Mussa-Ivaldi
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2016-12-15       Impact factor: 3.802

2.  Upper Body-Based Power Wheelchair Control Interface for Individuals With Tetraplegia.

Authors:  Elias B Thorp; Farnaz Abdollahi; David Chen; Ali Farshchiansadegh; Mei-Hua Lee; Jessica P Pedersen; Camilla Pierella; Elliot J Roth; Ismael Seanez Gonzalez; Ferdinando A Mussa-Ivaldi
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2015-06-01       Impact factor: 3.802

3.  Remapping residual coordination for controlling assistive devices and recovering motor functions.

Authors:  Camilla Pierella; Farnaz Abdollahi; Ali Farshchiansadegh; Jessica Pedersen; Elias B Thorp; Ferdinando A Mussa-Ivaldi; Maura Casadio
Journal:  Neuropsychologia       Date:  2015-09-02       Impact factor: 3.139

4.  Simulation of variable impedance as an intervention for upper extremity motor exploration.

Authors:  Felix C Huang
Journal:  IEEE Int Conf Rehabil Robot       Date:  2017-07

5.  Movement distributions of stroke survivors exhibit distinct patterns that evolve with training.

Authors:  Felix C Huang; James L Patton
Journal:  J Neuroeng Rehabil       Date:  2016-03-09       Impact factor: 4.262

6.  Learning new movements after paralysis: Results from a home-based study.

Authors:  Camilla Pierella; Farnaz Abdollahi; Elias Thorp; Ali Farshchiansadegh; Jessica Pedersen; Ismael Seáñez-González; Ferdinando A Mussa-Ivaldi; Maura Casadio
Journal:  Sci Rep       Date:  2017-07-06       Impact factor: 4.379

7.  Providing low-dimensional feedback of a high-dimensional movement allows for improved performance of a skilled walking task.

Authors:  Kevin A Day; Amy J Bastian
Journal:  Sci Rep       Date:  2019-12-24       Impact factor: 4.996

8.  A Framework for Optimizing Co-adaptation in Body-Machine Interfaces.

Authors:  Dalia De Santis
Journal:  Front Neurorobot       Date:  2021-04-21       Impact factor: 2.650

9.  Guiding functional reorganization of motor redundancy using a body-machine interface.

Authors:  Dalia De Santis; Ferdinando A Mussa-Ivaldi
Journal:  J Neuroeng Rehabil       Date:  2020-05-11       Impact factor: 4.262

10.  Recovery of Distal Arm Movements in Spinal Cord Injured Patients with a Body-Machine Interface: A Proof-of-Concept Study.

Authors:  Camilla Pierella; Elisa Galofaro; Alice De Luca; Luca Losio; Simona Gamba; Antonino Massone; Ferdinando A Mussa-Ivaldi; Maura Casadio
Journal:  Sensors (Basel)       Date:  2021-03-23       Impact factor: 3.576

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.