Literature DB >> 26441454

Design and Evaluation of a Cable-Driven fMRI-Compatible Haptic Interface to Investigate Precision Grip Control.

Bogdan Vigaru, James Sulzer, Roger Gassert.   

Abstract

Our hands and fingers are involved in almost all activities of daily living and, as such, have a disproportionately large neural representation. Functional magnetic resonance imaging investigations into the neural control of the hand have revealed great advances, but the harsh MRI environment has proven to be a challenge to devices capable of delivering a large variety of stimuli necessary for well-controlled studies. This paper presents a fMRI-compatible haptic interface to investigate the neural mechanisms underlying precision grasp control. The interface, located at the scanner bore, is controlled remotely through a shielded electromagnetic actuation system positioned at the end of the scanner bed and then through a high stiffness, low inertia cable transmission. We present the system design, taking into account requirements defined by the biomechanics and dynamics of the human hand, as well as the fMRI environment. Performance evaluation revealed a structural stiffness of 3.3 N/mm, renderable forces up to 94 N, and a position control bandwidth of at least 19 Hz. MRI-compatibility tests showed no degradation in the operation of the haptic interface or the image quality. A preliminary fMRI experiment during a pilot study validated the usability of the haptic interface, illustrating the possibilities offered by this device.

Entities:  

Year:  2015        PMID: 26441454      PMCID: PMC4829477          DOI: 10.1109/TOH.2015.2485201

Source DB:  PubMed          Journal:  IEEE Trans Haptics        ISSN: 1939-1412            Impact factor:   2.487


  38 in total

Review 1.  A new view on grasping.

Authors:  J B Smeets; E Brenner
Journal:  Motor Control       Date:  1999-07       Impact factor: 1.422

2.  Visual and tactile guidance of dexterous manipulation tasks: an fMRI study.

Authors:  Ardesheer Talati; Francisco J Valero-Cuevas; Joy Hirsch
Journal:  Percept Mot Skills       Date:  2005-08

3.  The anterior intraparietal sulcus mediates grasp execution, independent of requirement to update: new insights from transcranial magnetic stimulation.

Authors:  Nichola J Rice; Eugene Tunik; Scott T Grafton
Journal:  J Neurosci       Date:  2006-08-02       Impact factor: 6.167

Review 4.  Control strategies in object manipulation tasks.

Authors:  J Randall Flanagan; Miles C Bowman; Roland S Johansson
Journal:  Curr Opin Neurobiol       Date:  2006-11-03       Impact factor: 6.627

5.  Proprio-tactile integration for kinesthetic perception: an fMRI study.

Authors:  A Kavounoudias; J P Roll; J L Anton; B Nazarian; M Roth; R Roll
Journal:  Neuropsychologia       Date:  2007-10-10       Impact factor: 3.139

6.  Dissociating the role of ventral and dorsal premotor cortex in precision grasping.

Authors:  Marco Davare; Michael Andres; Guy Cosnard; Jean-Louis Thonnard; Etienne Olivier
Journal:  J Neurosci       Date:  2006-02-22       Impact factor: 6.167

7.  A haptic force feedback device for virtual reality-fMRI experiments.

Authors:  Lisa M Di Diodato; Richard Mraz; S Nicole Baker; Simon J Graham
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2007-12       Impact factor: 3.802

8.  Manual discrimination of force using active finger motion.

Authors:  X D Pang; H Z Tan; N I Durlach
Journal:  Percept Psychophys       Date:  1991-06

9.  A fronto-parietal circuit for object manipulation in man: evidence from an fMRI-study.

Authors:  F Binkofski; G Buccino; S Posse; R J Seitz; G Rizzolatti; H Freund
Journal:  Eur J Neurosci       Date:  1999-09       Impact factor: 3.386

10.  Heating of metallic implants and instruments induced by gradient switching in a 1.5-Tesla whole-body unit.

Authors:  Hansjörg Graf; Günter Steidle; Fritz Schick
Journal:  J Magn Reson Imaging       Date:  2007-11       Impact factor: 4.813

View more
  3 in total

1.  Fiber Optic Force Sensors for MRI-Guided Interventions and Rehabilitation: A Review.

Authors:  Hao Su; Iulian I Iordachita; Junichi Tokuda; Nobuhiko Hata; Xuan Liu; Reza Seifabadi; Sheng Xu; Bradford Wood; Gregory S Fischer
Journal:  IEEE Sens J       Date:  2017-01-17       Impact factor: 3.301

2.  MR-Compatible Haptic Display of Membrane Puncture in Robot-Assisted Needle Procedures.

Authors:  Amy Kyungwon Han; Jung Hwa Bae; Katerina C Gregoriou; Christopher J Ploch; Roger E Goldman; Gary H Glover; Bruce L Daniel; Mark R Cutkosky
Journal:  IEEE Trans Haptics       Date:  2018-03-19       Impact factor: 2.487

3.  Pressure based MRI-compatible muscle fascicle length and joint angle estimation.

Authors:  Hyungeun Song; Erica Israel; Shriya Srinivasan; Hugh Herr
Journal:  J Neuroeng Rehabil       Date:  2020-08-26       Impact factor: 4.262

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.