Literature DB >> 22928878

Transfer of tactile input from an artificial hand to the forearm: experiments in amputees and able-bodied volunteers.

Christian Antfolk1, Christian Cipriani, Maria Chiara Carrozza, Christian Balkenius, Anders Björkman, Göran Lundborg, Birgitta Rosén, Fredrik Sebelius.   

Abstract

PURPOSE: This study explores the possibilities of transferring peripheral tactile stimulations from an artificial hand to the forearm skin.
METHOD: A tactile display applied to the forearm skin was used to transfer tactile input to the forearm from various locations on a hand displayed on a computer screen. Discernment of location, levels of pressure and a combination of the two in simulated functional grips was tested to quantify the participants' ability to accurately perceive the tactile stimulations presented. Ten participants (5 forearm amputees and 5 able-bodied volunteers) unfamiliar with the equipment participated in the three-stage experiments comprising a learning session with vision, a reinforced learning session without vision and a validation session without vision.
RESULTS: The location discernment accuracy was high in both groups (75.2% and 89.6% respectively). The capacity to differentiate between three different levels of pressure was also high (91.7% and 98.1% respectively in the two groups). Recognition of simulated grip was slightly more difficult with the groups scoring 58.7% and 68.0% respectively for accuracy in the validation session.
CONCLUSIONS: This study demonstrates that it is possible, following a brief training period, to transfer tactile input from an artificial hand to the forearm skin. The level of accuracy was lower for the more complex task, simulated grip recognition, possibly because this represents a more complex task requiring higher order brain functions. These results could form the basis for developing sensory feedback in hand prostheses.

Entities:  

Mesh:

Year:  2012        PMID: 22928878     DOI: 10.3109/17483107.2012.713435

Source DB:  PubMed          Journal:  Disabil Rehabil Assist Technol        ISSN: 1748-3107


  9 in total

1.  Design and Integration of an Inexpensive Wearable Mechanotactile Feedback System for Myoelectric Prostheses.

Authors:  Katherine R Schoepp; Michael R Dawson; Jonathon S Schofield; Jason P Carey; Jacqueline S Hebert
Journal:  IEEE J Transl Eng Health Med       Date:  2018-08-13       Impact factor: 3.316

2.  Sensory substitution of elbow proprioception to improve myoelectric control of upper limb prosthesis: experiment on healthy subjects and amputees.

Authors:  Matthieu Guémann; Christophe Halgand; Aurélia Bastier; Céline Lansade; Léo Borrini; Éric Lapeyre; Daniel Cattaert; Aymar de Rugy
Journal:  J Neuroeng Rehabil       Date:  2022-06-11       Impact factor: 5.208

3.  Somatotopical feedback versus non-somatotopical feedback for phantom digit sensation on amputees using electrotactile stimulation.

Authors:  Dingguo Zhang; Heng Xu; Peter B Shull; Jianrong Liu; Xiangyang Zhu
Journal:  J Neuroeng Rehabil       Date:  2015-05-02       Impact factor: 4.262

4.  The impact of the stimulation frequency on closed-loop control with electrotactile feedback.

Authors:  Liliana P Paredes; Strahinja Dosen; Frank Rattay; Bernhard Graimann; Dario Farina
Journal:  J Neuroeng Rehabil       Date:  2015-04-09       Impact factor: 4.262

5.  Tactile feedback is an effective instrument for the training of grasping with a prosthesis at low- and medium-force levels.

Authors:  Alessandro Marco De Nunzio; Strahinja Dosen; Sabrina Lemling; Marko Markovic; Meike Annika Schweisfurth; Nan Ge; Bernhard Graimann; Deborah Falla; Dario Farina
Journal:  Exp Brain Res       Date:  2017-05-26       Impact factor: 1.972

6.  Bionic reconstruction : Restoration of extremity function with osseointegrated and mind-controlled prostheses.

Authors:  Martin Aman; Christopher Festin; Matthias E Sporer; Clemens Gstoettner; Cosima Prahm; Konstantin D Bergmeister; Oskar C Aszmann
Journal:  Wien Klin Wochenschr       Date:  2019-06-14       Impact factor: 1.704

7.  Combined spatial and frequency encoding for electrotactile feedback of myoelectric signals.

Authors:  Sara Nataletti; Fabrizio Leo; Jakob Dideriksen; Luca Brayda; Strahinja Dosen
Journal:  Exp Brain Res       Date:  2022-07-25       Impact factor: 2.064

8.  An exploration of grip force regulation with a low-impedance myoelectric prosthesis featuring referred haptic feedback.

Authors:  Jeremy D Brown; Andrew Paek; Mashaal Syed; Marcia K O'Malley; Patricia A Shewokis; Jose L Contreras-Vidal; Alicia J Davis; R Brent Gillespie
Journal:  J Neuroeng Rehabil       Date:  2015-11-25       Impact factor: 4.262

9.  Sensory Feedback in Hand Prostheses: A Prospective Study of Everyday Use.

Authors:  Ulrika Wijk; Ingela K Carlsson; Christian Antfolk; Anders Björkman; Birgitta Rosén
Journal:  Front Neurosci       Date:  2020-07-07       Impact factor: 4.677

  9 in total

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