Literature DB >> 24968382

HyVE-hybrid vibro-electrotactile stimulation-is an efficient approach to multi-channel sensory feedback.

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

Abstract

An important reason for the abandonment of commercial actuated hand prostheses by the users is the lack of sensory feedback. Wearable afferent interfaces capable of providing electro- or vibro-tactile stimulation have high potential to restore the missing tactile and/or proprioceptive information to the user. By definition, these devices can elicit single modality (i.e., either vibrotactile or electrotactile) substitute sensations. In a recent research we have presented a novel approach comprising hybrid vibro-electrotactile (HyVE) combined stimulation, in order to provide multimodal sensory feedback. An important advantage of this approach is in the size of the design: the HyVE interface is much more compact than two separated single-modality interfaces, since electro- and vibro-tactile stimulators are placed one on top of the other. The HyVE approach has been previously tested in healthy subjects and has shown to provide a range of hybrid stimuli that could be properly discriminated. However, this approach has never been assessed as a method to provide multi-channel stimuli, i.e., stimuli from a variety of stimulators, mapping information from a multitude of sensors on a prosthesis. In this study, the ability of ten healthy subjects to discriminate stimuli and patterns of stimuli from four different five-channel interfaces applied on their forearms was evaluated. We showed that multiple HyVE units could be used to provide multi-channel sensory information with equivalent performance (∼95 percent for single stimuli and ∼80 percent for pattern) to single modality interfaces (vibro- or electro-tactile) larger in size and with better performance than vibrotactile interfaces (i.e., 73 percent for single stimuli and 69 percent for pattern) with the same size. These results are promising in relation to the current availability of multi-functional prostheses with multiple sensors.

Mesh:

Year:  2014        PMID: 24968382     DOI: 10.1109/TOH.2013.52

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


  6 in total

1.  Armband with Soft Robotic Actuators and Vibrotactile Stimulators for Bimodal Haptic Feedback from a Dexterous Artificial Hand.

Authors:  Moaed A Abd; Michael Bornstein; Emmanuelle Tognoli; Erik D Engeberg
Journal:  IEEE ASME Int Conf Adv Intell Mechatron       Date:  2018-09-03

2.  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

3.  Human ability in identification of location and pulse number for electrocutaneous stimulation applied on the forearm.

Authors:  Bo Geng; Winnie Jensen
Journal:  J Neuroeng Rehabil       Date:  2014-06-07       Impact factor: 4.262

4.  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

Review 5.  Selectivity and Longevity of Peripheral-Nerve and Machine Interfaces: A Review.

Authors:  Usman Ghafoor; Sohee Kim; Keum-Shik Hong
Journal:  Front Neurorobot       Date:  2017-10-31       Impact factor: 2.650

6.  Effect of vibration characteristics and vibror arrangement on the tactile perception of the upper arm in healthy subjects and upper limb amputees.

Authors:  Matthieu Guemann; Sandra Bouvier; Christophe Halgand; Florent Paclet; Leo Borrini; Damien Ricard; Eric Lapeyre; Daniel Cattaert; Aymar de Rugy
Journal:  J Neuroeng Rehabil       Date:  2019-11-13       Impact factor: 4.262

  6 in total

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