Name
Title | ||
|---|---|---|
Pattern recognition and direct control home use of a multi-articulating hand prosthesis |
Abstract | ||
|---|---|---|
Although more multi-articulating hand prostheses have become commercially available, replacing a missing hand remains challenging from a control perspective. This study investigated myoelectric direct control and pattern recognition home use of a multi-articulating hand prosthesis for individuals with a transradial amputation. Four participants were fitted with an i-limb Ultra Revolution hand and a Coapt COMPLETE CONTROL system. An occupational therapist provided training for each control style and how to use the various grips. The number of grips available to each individual was determined by clinician and user feedback to optimize both the number of grips available and the reliability of grip selection. Home trial data corresponding to individual usage were recorded. No significant differences were found between direct and pattern recognition control home trials in regards to trial length (p=0.96), days powered on (p=0.21), or total time powered on (p=0.91). There was a higher average number of configured grips for direct control at 4.8 [0.5] compared to 3.8 [0.5] for pattern recognition control, but this difference did not reach significance (p=0.092). Across all hand close movements, users spent a majority of time (> 80%) in one grip when using direct control. For pattern recognition usage was spread across more grips (> 45% time in one grip, 25% time in a 2nd grip, and 20% time in a 3rd grip). Pattern recognition control may provide users with a more intuitive way to select and use the various grips available to them. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICORR.2019.8779539 | 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR) |
Keywords | Field | DocType |
Adult,Amputees,Artificial Limbs,Electromyography,Female,Hand,Hand Strength,Humans,Male,Pattern Recognition, Automated,Prosthesis Design | Missing hand,Trial Length,Thumb,Amputation,Pattern recognition,Computer science,Direct control,Artificial intelligence,Hand prosthesis,Control system | Conference |
Volume | ISSN | ISBN |
2019 | 1945-7898 | 978-1-7281-2756-9 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ann M Simon | 1 | 28 | 4.98 |
| Kristi L. Turner | 2 | 0 | 0.34 |
| Laura A. Miller | 3 | 13 | 3.22 |
| Levi J Hargrove | 4 | 438 | 42.47 |
| Todd A. Kuiken | 5 | 132 | 9.41 |