Literature DB >> 16460824

Speed-accuracy trade-offs in myocontrol.

Eric J Fimbel1, Martin Lemay, Martin Arguin.   

Abstract

Myoelectric (EMG) signals are used in assistive technology for prostheses, computer and domestic control. However, little is known about the capacity of controlling these signals. Specifically, it is unclear whether myocontrol, i.e., the control of myoelectric signals, obeys the same laws as motor control. Neurologically intact adult participants performed pointing tasks with EMG signals captured from the forehead or the hand in two modalities (sustained: stabilize the signal amplitude in the target; impulsion: produce an impulse and return to resting level). In the sustained modality, the time to reach the target (reach time) increased logarithmically with target amplitude, which is compatible with the predictions of Fitts' law. The rate of failure was not significantly affected by target amplitude. In the impulsion modality, the reach time and the rate of failure followed a bow-shaped pattern as a function of target amplitude. Stabilization time in the sustained modality followed a convex (bow-shaped) pattern for the forehead and a concave pattern for the hand. This was the only significant effect of electrode placement in this study. These findings suggest that myocontrol obeys laws that are distinct from those determining motor control, and that the muscular and intra-muscular synergies that produce EMG signals are specific of each pointing modality and target amplitude.

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Year:  2006        PMID: 16460824     DOI: 10.1016/j.humov.2005.12.001

Source DB:  PubMed          Journal:  Hum Mov Sci        ISSN: 0167-9457            Impact factor:   2.161


  5 in total

1.  Comparison of speed-accuracy tradeoff between linear and nonlinear filtering algorithms for myocontrol.

Authors:  Cassie N Borish; Adam Feinman; Matteo Bertucco; Natalie G Ramsy; Terence D Sanger
Journal:  J Neurophysiol       Date:  2018-01-31       Impact factor: 2.714

2.  Virtual Training of the Myosignal.

Authors:  Bernhard Terlaak; Hanneke Bouwsema; Corry K van der Sluis; Raoul M Bongers
Journal:  PLoS One       Date:  2015-09-09       Impact factor: 3.240

3.  Translating Research on Myoelectric Control into Clinics-Are the Performance Assessment Methods Adequate?

Authors:  Ivan Vujaklija; Aidan D Roche; Timothy Hasenoehrl; Agnes Sturma; Sebastian Amsuess; Dario Farina; Oskar C Aszmann
Journal:  Front Neurorobot       Date:  2017-02-14       Impact factor: 2.650

4.  Myocontrol in aging.

Authors:  Eric J Fimbel; Martin Arguin
Journal:  PLoS One       Date:  2007-11-21       Impact factor: 3.240

5.  Wireless intraoral tongue control of an assistive robotic arm for individuals with tetraplegia.

Authors:  Lotte N S Andreasen Struijk; Line Lindhardt Egsgaard; Romulus Lontis; Michael Gaihede; Bo Bentsen
Journal:  J Neuroeng Rehabil       Date:  2017-11-06       Impact factor: 4.262

  5 in total

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