Literature DB >> 23782817

HyVE: hybrid vibro-electrotactile stimulation for sensory feedback and substitution in rehabilitation.

Marco D'Alonzo, Strahinja Dosen, Christian Cipriani, Dario Farina.   

Abstract

Electro- or vibro-tactile stimulations were used in the past to provide sensory information in many different applications ranging from human manual control to prosthetics. The two modalities were used separately in the past, and we hypothesized that a hybrid vibro-electrotactile (HyVE) stimulation could provide two afferent streams that are independently perceived by a subject, although delivered in parallel and through the same skin location. We conducted psychophysical experiments where healthy subjects were asked to recognize the intensities of electroand vibro-tactile stimuli during hybrid and single modality stimulations. The results demonstrated that the subjects were able to discriminate the features of the two modalities within the hybrid stimulus, and that the cross-modality interaction was limited enough to allow better transmission of discrete information (messages) using hybrid versus singlemodality coding. The percentages of successful recognitions (mean ± standard deviation) for nine messages were 56 ± 11 % and 72 ± 8 % for two hybrid coding schemes, compared to 29 ±7 % for vibrotactile and 44 ± 4 % for electrotactile coding. The HyVE can be therefore an attractivesolution in numerous application for providing sensory feedbackin prostheses and rehabilitation, and it could be used to increase the resolution of a single variable or to simultaneously feedback two different variables.

Entities:  

Mesh:

Year:  2014        PMID: 23782817     DOI: 10.1109/TNSRE.2013.2266482

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  15 in total

1.  Object discrimination using electrotactile feedback.

Authors:  Tapas J Arakeri; Brady A Hasse; Andrew J Fuglevand
Journal:  J Neural Eng       Date:  2018-04-09       Impact factor: 5.379

2.  Building an internal model of a myoelectric prosthesis via closed-loop control for consistent and routine grasping.

Authors:  Strahinja Dosen; Marko Markovic; Nicola Wille; Markus Henkel; Mario Koppe; Andrei Ninu; Cornelius Frömmel; Dario Farina
Journal:  Exp Brain Res       Date:  2015-03-25       Impact factor: 1.972

Review 3.  The science and engineering behind sensitized brain-controlled bionic hands.

Authors:  Chethan Pandarinath; Sliman J Bensmaia
Journal:  Physiol Rev       Date:  2021-09-20       Impact factor: 37.312

4.  Effects of vibrotactile feedback on human learning of arm motions.

Authors:  Karlin Bark; Emily Hyman; Frank Tan; Elizabeth Cha; Steven A Jax; Laurel J Buxbaum; Katherine J Kuchenbecker
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2014-06-02       Impact factor: 3.802

5.  A Low-Cost, Open-Source, Compliant Hand for Enabling Sensorimotor Control for People with Transradial Amputations.

Authors:  Aadeel Akhtar; Kyung Yun Choi; Michael Fatina; Jesse Cornman; Edward Wu; Joseph Sombeck; Chris Yim; Patrick Slade; Jason Lee; Jack Moore; Daniel Gonzales; Alvin Wu; Garrett Anderson; David Rotter; Cliff Shin; Timothy Bretl
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2016-08

6.  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

7.  Human-Machine Interface for the Control of Multi-Function Systems Based on Electrocutaneous Menu: Application to Multi-Grasp Prosthetic Hands.

Authors:  Jose Gonzalez-Vargas; Strahinja Dosen; Sebastian Amsuess; Wenwei Yu; Dario Farina
Journal:  PLoS One       Date:  2015-06-12       Impact factor: 3.240

8.  Electrotactile Feedback Improves Performance and Facilitates Learning in the Routine Grasping Task.

Authors:  Milica Isaković; Minja Belić; Matija Štrbac; Igor Popović; Strahinja Došen; Dario Farina; Thierry Keller
Journal:  Eur J Transl Myol       Date:  2016-06-13

9.  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

10.  Time-division multiplexing for myoelectric closed-loop control using electrotactile feedback.

Authors:  Strahinja Dosen; Marie-Caroline Schaeffer; Dario Farina
Journal:  J Neuroeng Rehabil       Date:  2014-09-15       Impact factor: 4.262

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