Home Augmented reality improves myoelectric prosthesis training
Article
Licensed
Unlicensed Requires Authentication

Augmented reality improves myoelectric prosthesis training

  • Fraser Anderson EMAIL logo and Walter F. Bischof
Published/Copyright: August 7, 2014

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;2:100–7.10.1109/86.313151Search 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;2:160–6.10.1197/j.jht.2007.09.006Search in Google Scholar PubMed

3. Burkhalter WE, Mayfield G, Carmona LS. The upper- extremity amputee. Early and immediate post-surgical prosthetic fitting. J Bone Joint Surg 1976;58:46–51.10.2106/00004623-197658010-00008Search 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, 2008:582–6.10.1145/1806338.1806448Search 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;6:5–15.10.2174/1874120701206010005Search in Google Scholar

6. OttoBock. MyoBoy. URL: http://www.ottobock.com/cps/rde/xchg/ob_com_en/hs.xsl/3795.html. 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 2008:61.10.1109/ICVR.2008.4625124Search 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 2008:121–4.10.1109/BIOCAS.2008.4696889Search 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;9:167–70.10.1089/cpb.2006.9.167Search in Google Scholar PubMed

10. Dawson MR, Carey JP, Fahimi F. Myoelectric training systems. Expert Rev Med Dev 2011;8:581–9.10.1586/erd.11.23Search in Google Scholar PubMed

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;26:882–93.10.1080/09638280410001708896Search in Google Scholar PubMed

12. Desmond DM. Coping, affective distress, and psychosocial adjustment among people with traumatic upper limb amputations. J Psychosom Res 2007;62:15–21.10.1016/j.jpsychores.2006.07.027Search in Google Scholar PubMed

13. Ramachandran VS, Rogers-Ramachandran D. Synaesthesia in phantom limbs induced with mirrors. Proc Biol Sci 1996;263:377–86.10.1098/rspb.1996.0058Search in Google Scholar PubMed

14. Bortec-Biomedical. AMT8. URL: http://www.bortec.ca/pages/amt_8.htm. 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;60:48–58.10.1080/02701367.1989.10607413Search in Google Scholar PubMed

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

©2014 by De Gruyter

Articles in the same Issue

  1. Frontmatter
  2. Editorial
  3. Virtual reality-based rehabilitation applications for motor, cognitive and sensorial disorders
  4. Reviews
  5. Movement rehabilitation in virtual reality from then to now: how are we doing?
  6. Virtual reality for cognitive rehabilitation: from new use of computers to better knowledge of brain black box?
  7. Original Articles
  8. Balance rehabilitation using custom-made Wii Balance Board exercises: clinical effectiveness and maintenance of gains in an acquired brain injury population
  9. Development of a system for the assessment of a dual-task performance based on a motion-capture device
  10. Virtual exercises to promote cognitive recovery in stroke patients: the comparison between head mounted displays versus screen exposure methods
  11. Vision-based categorization of upper body motion impairments and post-stroke motion synergies
  12. Augmented reality improves myoelectric prosthesis training
  13. Patient engagement and clinical feasibility of Augmented Reflection Technology for stroke rehabilitation
  14. Development and validation of tele-health system for stroke rehabilitation
  15. Using virtual environments for trigger identification in addiction treatment
  16. Impact of contextual additional stimuli on the performance in a virtual activity of daily living (vADL) among patients with brain injury and controls
  17. Chilean higher education entrance examination for learners who are blind
  18. Case Reports
  19. Combining virtual reality and a myoelectric limb orthosis to restore active movement after stroke: a pilot study
  20. Robotic/virtual reality intervention program individualized to meet the specific sensorimotor impairments of an individual patient: a case study
Downloaded on 3.10.2025 from https://www.degruyterbrill.com/document/doi/10.1515/ijdhd-2014-0327/html?lang=en
Scroll to top button