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Feasibility of using combined EMG and kinematic signals for prosthesis control: A simulation study using a virtual reality environment.

Blana D, Kyriacou T, Lambrecht JM, Chadwick EK - J Electromyogr Kinesiol (2015)

Bottom Line: Transhumeral amputation has a significant effect on a person's independence and quality of life.The offline training had a target of 4° for flexion/extension and 8° for pronation/supination, which it easily exceeded (2.7° and 5.5° respectively).During online testing, all subjects completed the target-reaching task with path efficiency of 78% and minimal overshoot (1.5%).

View Article: PubMed Central - PubMed

Affiliation: Institute for Science and Technology in Medicine, Keele University, UK. Electronic address: d.blana@keele.ac.uk.

No MeSH data available.


Related in: MedlinePlus

Histogram of the time to target and the time remaining in each trial, after the last target was hit. Panel A shows the IMU-control phase, and Panel B shows the ANN-control phase.
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f0030: Histogram of the time to target and the time remaining in each trial, after the last target was hit. Panel A shows the IMU-control phase, and Panel B shows the ANN-control phase.

Mentions: The movement metrics were calculated for the targets acquired, but they do not give any information about targets that were not acquired, e.g. it is possible that during a 30-s trial, the participant reached one target in the first 3 s, and spent the remaining 27 s unsuccessfully reaching for the second target. Consequently, we looked at the time required to reach the target (“time to target” in Fig. 6) and the time remaining in the trial after the last target was acquired (“time remaining in trial” in Fig. 6), to ensure that the time remaining was less than the time to target. In the IMU-control phase (panel A), the median time to target was 3.9 s (interquartile range: 3.2–4.8 s), while the median time remaining in trial was 2.6 s (interquartile range: 1.8–4.7 s). In the ANN-control phase (panel B), the median time to target was 4.3 s (interquartile range: 3.5–5.5 s), while the median time remaining in trial was 2.8 s (interquartile range: 1.4–6.8 s). In both cases, a left-sided Wilcoxon rank sum test showed that the time remaining was less than the time to target ().


Feasibility of using combined EMG and kinematic signals for prosthesis control: A simulation study using a virtual reality environment.

Blana D, Kyriacou T, Lambrecht JM, Chadwick EK - J Electromyogr Kinesiol (2015)

Histogram of the time to target and the time remaining in each trial, after the last target was hit. Panel A shows the IMU-control phase, and Panel B shows the ANN-control phase.
© Copyright Policy - CC BY
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4940208&req=5

f0030: Histogram of the time to target and the time remaining in each trial, after the last target was hit. Panel A shows the IMU-control phase, and Panel B shows the ANN-control phase.
Mentions: The movement metrics were calculated for the targets acquired, but they do not give any information about targets that were not acquired, e.g. it is possible that during a 30-s trial, the participant reached one target in the first 3 s, and spent the remaining 27 s unsuccessfully reaching for the second target. Consequently, we looked at the time required to reach the target (“time to target” in Fig. 6) and the time remaining in the trial after the last target was acquired (“time remaining in trial” in Fig. 6), to ensure that the time remaining was less than the time to target. In the IMU-control phase (panel A), the median time to target was 3.9 s (interquartile range: 3.2–4.8 s), while the median time remaining in trial was 2.6 s (interquartile range: 1.8–4.7 s). In the ANN-control phase (panel B), the median time to target was 4.3 s (interquartile range: 3.5–5.5 s), while the median time remaining in trial was 2.8 s (interquartile range: 1.4–6.8 s). In both cases, a left-sided Wilcoxon rank sum test showed that the time remaining was less than the time to target ().

Bottom Line: Transhumeral amputation has a significant effect on a person's independence and quality of life.The offline training had a target of 4° for flexion/extension and 8° for pronation/supination, which it easily exceeded (2.7° and 5.5° respectively).During online testing, all subjects completed the target-reaching task with path efficiency of 78% and minimal overshoot (1.5%).

View Article: PubMed Central - PubMed

Affiliation: Institute for Science and Technology in Medicine, Keele University, UK. Electronic address: d.blana@keele.ac.uk.

No MeSH data available.


Related in: MedlinePlus