Skip to content
Accessible Unlicensed Requires Authentication Published by De Gruyter August 7, 2014

Augmented reality improves myoelectric prosthesis training

Fraser Anderson and Walter F. Bischof

Abstract

This paper presents the ARM Trainer, a new augmented reality-based system that can be used to train amputees in the use of myoelectric prostheses. The ARM Trainer provides users with a natural and intuitive method to develop the muscles used to control a myoelectric prosthetic. In addition to improving the training process, the new interface has the potential to mitigate psychological issues arising from amputation that are not addressed by existing approaches (e.g., self-image, phantom limb pain). We conducted an empirical study comparing our system to an existing commercial solution (Myoboy) and found the ARM Trainer to be superior along a number of subjective dimensions (enjoyment, perceived effort, competency, and pressure). We also found no significant difference in terms of muscle control development between the two systems. This study shows the potential of augmented reality-based training systems for myoelectric prostheses.


Corresponding author: Fraser Anderson, Advanced Man Machine Interface Lab, Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada, E-mail:

Acknowledgments

The authors wish to thank Dr. Kelvin Jones for the use of the EMG equipment and feedback on motor learning. This work was supported by the Canadian Institute of Health Research, the National Science and Engineering Research Council, and Alberta Innovates.

References

1. Dupont AC, Morin EL. A myoelectric control evaluation and trainer system. IEEE T Rehabil Eng 1994;2:100–7.Search in Google Scholar

2. Smurr LM, Gulick K, Yancosek K, Ganz, O. Managing the upper extremity amputee: a protocol for success. J Hand Ther 2008;2:160–6.Search in Google Scholar

3. Burkhalter WE, Mayfield G, Carmona LS. The upper- extremity amputee. Early and immediate post-surgical prosthetic fitting. J Bone Joint Surg 1976;58:46–51.Search in Google Scholar

4. Al-Jumaily A, Olivares RA. Electromyogram (EMG) driven system based virtual reality for prosthetic and rehabilitation devices. Proc Int Conf Inform Integr Web-based Appl Serv, 2008:582–6.Search in Google Scholar

5. Dawson MR, Fahimi F, Carey JP. The development of a myoelectric training tool for above-elbow amputees. Open Biomed Eng J 2012;6:5–15.Search in Google Scholar

6. OttoBock. MyoBoy. URL: . Accessed on April 9, 2013.Search in Google Scholar

7. de la Rosa R, Alonso A, de la Rosa S, Abasolo D. Myo-Pong: a neuromuscular game for the UVa-Neuromuscular training system platform. Proc IEEE Virtual Rehab 2008:61.Search in Google Scholar

8. Armiger RS, Vogelstein RJ. Air-Guitar hero: a real-time video game interface for training and evaluation of dexterous upper- extremity neuroprosthetic control algorithms. Proc Biomed Circuits Syst Conf 2008:121–4.Search in Google Scholar

9. Murray CD, Patchick E, Pettifer S, Caillette F, Howard T. Immersive virtual reality as a rehabilitative technology for phantom limb experience: a protocol. Cyber Psychol Behav 2006;9:167–70.Search in Google Scholar

10. Dawson MR, Carey JP, Fahimi F. Myoelectric training systems. Expert Rev Med Dev 2011;8:581–9.Search in Google Scholar

11. Hanley MA, Jensen MP, Ehde DM, Hoffman AJ, Patterson DR, Robinson LR. Psychosocial predictors of long-term adjustment to lower-limb amputation and phantom limb pain. Disabil Rehabil 2004;26:882–93.Search in Google Scholar

12. Desmond DM. Coping, affective distress, and psychosocial adjustment among people with traumatic upper limb amputations. J Psychosom Res 2007;62:15–21.Search in Google Scholar

13. Ramachandran VS, Rogers-Ramachandran D. Synaesthesia in phantom limbs induced with mirrors. Proc Biol Sci 1996;263:377–86.Search in Google Scholar

14. Bortec-Biomedical. AMT8. URL: . Accessed on April 9, 2013.Search in Google Scholar

15. McAuley E. Psychometric properties of the intrinsic motivation inventory in a competitive sport setting: a confirmatory factor analysis. Res Q Exerc Sport 1968;60:48–58.Search in Google Scholar

Received: 2013-5-8
Accepted: 2013-8-27
Published Online: 2014-8-7
Published in Print: 2014-9-1

©2014 by De Gruyter