The main objective of the study is to investigate which type of virtual training has the highest impact on learning myocontrol.Secondary objectives are to investigate whether the progress in a participants* myocontrol can be predicted by his or her…
ID
Source
Brief title
Condition
- Other condition
Synonym
Health condition
onderarm amputatie
Research involving
Sponsors and support
Intervention
Outcome measures
Primary outcome
From the discrete test, the range of velocities at which the virtual hand is
opened and closed during both pre- and posttest is used to determine the level
and improvement of discrete myocontrol. In the continuous test the difference
between the myosignals and the target patterns (the patterns that participants
had to match their myosignal levels to) are used as outcome measures to
determine the level and improvement of the participants* continuous myocontrol
ability.
Secondary outcome
Dexterity tests: time to complete the pinboard task (mABC2), force production
assessments on the grip force task and scores on the Fitts' task will be used
to test prediction of myocontrol learning ability.
Hand dominance: the interaction effect between hand dominance and virtual
training method will be used to determine whether the dominant and non-dominant
hand differ in the training method which has the best effect.
Background summary
Myocontrol is the control of an external device through EMG signals produced by
the muscles (the myosignals) and is used in myoelectric arm and hand
prostheses. Modern prostheses require a high level of myocontrol. Hence,
knowledge about characteristics of training that improve myocontrol might be
helpful for amputees to increase their control of these prostheses.
Conventional training involves actual prostheses, but virtual training methods
could provide the same results, as improvements in myocontrol have been shown
using virtual training methods (e.g. Radhakrishnan et al. 2008, Perez-Maldona
et al. 2010, Bouwsema et al. 2010). Furthermore, virtual training methods have
multiple benefits over training myocontrol with an actual prosthesis, as they
are easy to apply and use, low in cost and allow for training and testing of an
amputees* myocontrol ability before acquiring an actual prosthesis. Although
virtual training methods have been shown to produce positive effects on
myocontrol, it is currently unknown which type of virtual training method has
the best result. Therefore this study examines different virtual training
methods on their effects on myocontrol.
Study objective
The main objective of the study is to investigate which type of virtual
training has the highest impact on learning myocontrol.
Secondary objectives are to investigate whether the progress in a participants*
myocontrol can be predicted by his or her scores on three manual dexterity
tasks, and to examine whether the dominant and the non-dominant hand differ in
the type of training that has the best result.
Study design
pre-test/post-test intervention
Intervention
One group will train myocontrol with their produced myosignal as instantaneous
feedback. The second will train using a virtual myoelectric hand and the third
group will train using a videogame. All groups will be trained on three
consecutive days.
Study burden and risks
The myosignal will be measured with the same electrodes as are used in standard
myoelectric prostheses. Hence, essentially the tasks in the experiment are
comparable to handling a prosthesis. With regard to the load of the tasks,
participants train myocontrol for three consecutive days and tests will be
performed on day one and three. Moreover, at the start of day one and at the
end of day three, three non-invasive manual dexterity tests will be
administered. Each day the session will take less than one hour. There are no
risks associated with participation.
Antonius Deusinglaan 1 kamernummer 3214-361
Groningen 9713 AV
NL
Antonius Deusinglaan 1 kamernummer 3214-361
Groningen 9713 AV
NL
Listed location countries
Age
Inclusion criteria
right handed
normal or corrected to normal sight
Exclusion criteria
experience with a prosthetic simulator
Design
Recruitment
Followed up by the following (possibly more current) registration
No registrations found.
Other (possibly less up-to-date) registrations in this register
No registrations found.
In other registers
Register | ID |
---|---|
CCMO | NL39792.042.12 |