onderarm amputatie arm disability upper limb amputation
Conditions
Interventions
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
Sponsors
Rijksuniversiteit Groningen
Eligibility
Age
18 Years to 99 Years
Inclusion criteria
Inclusion criteria: right handed normal or corrected to normal sight
Exclusion criteria
Exclusion criteria: experience with a prosthetic simulator
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| 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
| Measure | Time frame |
|---|---|
| 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. | — |
Countries
Netherlands
Outcome results
None listed