Multichannel audio biofeedback for dynamical coupling between prosthetic hands and their users

Author:

González José,Yu Wenwei,Hernandez Arieta Alejandro

Abstract

PurposeIt is widely agreed that amputees have to rely on visual input to monitor and control the position of the prosthesis while reaching and grasping because of the lack of proprioceptive feedback. Therefore, visual information has been a prerequisite for prosthetic hand biofeedback studies. This is why, the underlying characteristics of other artificial feedback methods used to this day, such as auditive, electro‐tactile, or vibro‐tactile feedback, has not been clearly explored. The purpose of this paper is to explore whether it is possible to use audio feedback alone to convey more than one independent variable (multichannel) simultaneously, without relying on the vision, to improve the learning of a new perceptions, in this case, to learn and understand the artificial proprioception of a prosthetic hand while reaching.Design/methodology/approachExperiments are conducted to determine whether the audio signals could be used as a multi‐variable dynamical sensory substitution in reaching movements without relying on the visual input. Two different groups are tested, the first one uses only audio information and the second one uses only visual information to convey computer‐simulated trajectories of two fingers.FindingsThe results show that it is possible to use auditive feedback to convey artificial proprioceptive information instead of vision as a guide, thus assist users by internalizing new perceptions.Originality/valueThis way, the strong and weak points of auditive feedback can be observed and can be used to improve future feedback systems or schemes, which can integrate different feedback methods to provide more information to the user.

Publisher

Emerald

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Control and Systems Engineering

Reference22 articles.

1. Carlson, N.R. (2007), Physiology of Behavior, 9th ed., Pearson, Boston, MA.

2. Dillon, G.S., Lawrence, S.M. and Horch, K.W. (2004), “Residual function in pheripheral nerve stumps of amputees”, Journal of Hand Surgery, Vol. 29 No. 4, pp. 605‐15.

3. Dozza, M., Chiari, L. and Horak, F.B. (2004), “A portable audio‐biofeedback system to improve postural control”, Proceedings of the IEEE EMBS.

4. Dursun, E., Ceceli, E., Cakci, A., Tuzunalp, O., Ozturk, O. and Telatar, Z. (1992), “Effectiveness of a new joint position biofeedback training system development and its application on hemiplegic patients”, Proceedings of the International Biomedical Engineering Days, Istanbul, August 18‐20, pp. 246‐8.

5. Flanagan, J.R. and Wing, A.M. (1997), “The role of internal models in motion planning and control”, Journal of Neuroscience, Vol. 17, pp. 1519‐28.

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