Literature DB >> 26599475

Steer by ear: Myoelectric auricular control of powered wheelchairs for individuals with spinal cord injury.

L Schmalfuß, R Rupp1, M R Tuga2, A Kogut1, M Hewitt3, J Meincke3, F Klinker3, W Duttenhoefer3, U Eck1, R Mikut4, M Reischl4, D Liebetanz3.   

Abstract

PURPOSE: Providing mobility solutions for individuals with tetraplegia remains challenging. Existing control devices have shortcomings such as varying or poor signal quality or interference with communication. To overcome these limitations, we present a novel myoelectric auricular control system (ACS) based on bilateral activation of the posterior auricular muscles (PAMs).
METHODS: Ten able-bodied subjects and two individuals with tetraplegia practiced PAM activation over 4 days using visual feedback and software-based training for 1 h/day. Initially, half of these subjects were not able to voluntarily activate their PAMs. This ability was tested with regard to 8 parameters such as contraction rate, lateralized activation, wheelchair speed and path length in a virtual obstacle course. In session 5, all subjects steered an electric wheelchair with the ACS.
RESULTS: Performance of all subjects in controlling their PAMs improved steadily over the training period. By day 5, all subjects successfully generated basic steering commands using the ACS in a powered wheelchair, and subjects with tetraplegia completed a complex real-world obstacle course. This study demonstrates that the ability to activate PAM on both sides together or unilaterally can be learned and used intuitively to steer a wheelchair.
CONCLUSIONS: With the ACS we can exploit the untapped potential of the PAMs by assigning them a new, complex function. The inherent advantages of the ACS, such as not interfering with oral communication, robustness, stability over time and proportional and continuous signal generation, meet the specific needs of wheelchair users and render it a realistic alternative to currently available assistive technologies.

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Year:  2016        PMID: 26599475     DOI: 10.3233/RNN-150579

Source DB:  PubMed          Journal:  Restor Neurol Neurosci        ISSN: 0922-6028            Impact factor:   2.406


  5 in total

1.  Cortical representation of auricular muscles in humans: A robot-controlled TMS mapping and fMRI study.

Authors:  Jonna Meincke; Manuel Hewitt; Markus Reischl; Rüdiger Rupp; Carsten Schmidt-Samoa; David Liebetanz
Journal:  PLoS One       Date:  2018-07-27       Impact factor: 3.240

2.  Development of a training paradigm for voluntary control of the peri-auricular muscles: a feasibility study.

Authors:  Siwaphorn Chanthaphun; Sandy L Heck; Carolee J Winstein; Lucinda Baker
Journal:  J Neuroeng Rehabil       Date:  2019-06-14       Impact factor: 4.262

3.  Performance Analysis of a Head and Eye Motion-Based Control Interface for Assistive Robots.

Authors:  Sarah Stalljann; Lukas Wöhle; Jeroen Schäfer; Marion Gebhard
Journal:  Sensors (Basel)       Date:  2020-12-14       Impact factor: 3.576

Review 4.  Neuroprosthetics for Auricular Muscles: Neural Networks and Clinical Aspects.

Authors:  Mikee Liugan; Ming Zhang; Yusuf Ozgur Cakmak
Journal:  Front Neurol       Date:  2018-01-16       Impact factor: 4.003

5.  Electromyography of Extrinsic and Intrinsic Ear Muscles in Healthy Probands and Patients with Unilateral Postparalytic Facial Synkinesis.

Authors:  Hanna Rüschenschmidt; Gerd Fabian Volk; Christoph Anders; Orlando Guntinas-Lichius
Journal:  Diagnostics (Basel)       Date:  2022-01-05
  5 in total

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