Literature DB >> 28413945

Body-Machine Interface Enables People With Cervical Spinal Cord Injury to Control Devices With Available Body Movements: Proof of Concept.

Farnaz Abdollahi1,2, Ali Farshchiansadegh2, Camilla Pierella3, Ismael Seáñez-González2, Elias Thorp2, Mei-Hua Lee4, Rajiv Ranganathan4, Jessica Pedersen1, David Chen1, Elliot Roth1,2, Maura Casadio3, Ferdinando Mussa-Ivaldi1,2.   

Abstract

This study tested the use of a customized body-machine interface (BoMI) for enhancing functional capabilities in persons with cervical spinal cord injury (cSCI). The interface allows people with cSCI to operate external devices by reorganizing their residual movements. This was a proof-of-concept phase 0 interventional nonrandomized clinical trial. Eight cSCI participants wore a custom-made garment with motion sensors placed on the shoulders. Signals derived from the sensors controlled a computer cursor. A standard algorithm extracted the combinations of sensor signals that best captured each participant's capacity for controlling a computer cursor. Participants practiced with the BoMI for 24 sessions over 12 weeks performing 3 tasks: reaching, typing, and game playing. Learning and performance were evaluated by the evolution of movement time, errors, smoothness, and performance metrics specific to each task. Through practice, participants were able to reduce the movement time and the distance from the target at the 1-second mark in the reaching task. They also made straighter and smoother movements while reaching to different targets. All participants became faster in the typing task and more skilled in game playing, as the pong hit rate increased significantly with practice. The results provide proof-of-concept for the customized BoMI as a means for people with absent or severely impaired hand movements to control assistive devices that otherwise would be manually operated.

Entities:  

Keywords:  body-machine interface; cervical spinal cord injury; proportional control

Mesh:

Year:  2017        PMID: 28413945      PMCID: PMC5407399          DOI: 10.1177/1545968317693111

Source DB:  PubMed          Journal:  Neurorehabil Neural Repair        ISSN: 1545-9683            Impact factor:   3.919


  16 in total

1.  Parkinsonism reduces coordination of fingers, wrist, and arm in fine motor control.

Authors:  H L Teulings; J L Contreras-Vidal; G E Stelmach; C H Adler
Journal:  Exp Neurol       Date:  1997-07       Impact factor: 5.330

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.  Neural substrates of motor memory consolidation depend on practice structure.

Authors:  Shailesh S Kantak; Katherine J Sullivan; Beth E Fisher; Barbara J Knowlton; Carolee J Winstein
Journal:  Nat Neurosci       Date:  2010-07-11       Impact factor: 24.884

4.  A high-speed BCI based on code modulation VEP.

Authors:  Guangyu Bin; Xiaorong Gao; Yijun Wang; Yun Li; Bo Hong; Shangkai Gao
Journal:  J Neural Eng       Date:  2011-03-24       Impact factor: 5.379

5.  An organizing principle for a class of voluntary movements.

Authors:  N Hogan
Journal:  J Neurosci       Date:  1984-11       Impact factor: 6.167

6.  Anxiety and depression after spinal cord injury: a longitudinal analysis.

Authors:  P Kennedy; B A Rogers
Journal:  Arch Phys Med Rehabil       Date:  2000-07       Impact factor: 3.966

7.  Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans.

Authors:  Jonathan R Wolpaw; Dennis J McFarland
Journal:  Proc Natl Acad Sci U S A       Date:  2004-12-07       Impact factor: 11.205

8.  Instant neural control of a movement signal.

Authors:  Mijail D Serruya; Nicholas G Hatsopoulos; Liam Paninski; Matthew R Fellows; John P Donoghue
Journal:  Nature       Date:  2002-03-14       Impact factor: 49.962

9.  A body machine interface based on inertial sensors.

Authors:  Ali Farshchiansadegh; Farnaz Abdollahi; David Chen; Jessica Pedersen; Camilla Pierella; Elliot J Roth; Ismael Seanez Gonzalez; Elias B Thorp; Ferdinando A Mussa-Ivaldi
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

10.  Disability, atrophy and cortical reorganization following spinal cord injury.

Authors:  Patrick Freund; Nikolaus Weiskopf; Nick S Ward; Chloe Hutton; Angela Gall; Olga Ciccarelli; Michael Craggs; Karl Friston; Alan J Thompson
Journal:  Brain       Date:  2011-05-17       Impact factor: 13.501

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  7 in total

1.  Development of an EMG-Controlled Serious Game for Rehabilitation.

Authors:  Mohammad Ghassemi; Kristen Triandafilou; Alex Barry; Mary Ellen Stoykov; Elliot Roth; Ferdinando A Mussa-Ivaldi; Derek G Kamper; Rajiv Ranganathan
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2019-01-21       Impact factor: 3.802

2.  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

3.  Age-dependent differences in learning to control a robot arm using a body-machine interface.

Authors:  Rajiv Ranganathan; Mei-Hua Lee; Malavika R Padmanabhan; Sanders Aspelund; Florian A Kagerer; Ranjan Mukherjee
Journal:  Sci Rep       Date:  2019-02-13       Impact factor: 4.379

4.  Smoothness: an Unexplored Window into Coordinated Running Proficiency.

Authors:  John Kiely; Craig Pickering; David J Collins
Journal:  Sports Med Open       Date:  2019-11-09

5.  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

6.  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

7.  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

  7 in total

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