Article
Novel postural control algorithm for control of multifunctional myoelectric prosthetic hands. 公开 Deposited
https://scholar.colorado.edu/concern/articles/6682x450d
- Abstract
- The myoelectric controller (MEC) remains a technological bottleneck in the development of multifunctional prosthetic hands. Current MECs require physiologically inappropriate commands to indicate intent and lack effectiveness in a clinical setting. Postural control schemes use surface electromyography signals to drive a cursor in a continuous two-dimensional domain that is then transformed into a hand posture. Here, we present a novel algorithm for a postural controller and test the efficacy of the system during two experiments with 11 total subjects. In the first experiment, we found that performance increased when a velocity cursor-control technique versus a position cursor-control technique was used. Also, performance did not change when using 3, 4, or 12 surface electrodes. In the second experiment, subjects commanded a six degree-of-freedom virtual hand into seven functional postures without training, with completion rates of 82 +/- 4%, movement times of 3.5 +/- 0.2 s, and path efficiencies of 45 +/- 3%. Subjects retained the ability to use the postural controller at a high level across days after a single 1 hr training session. Our results substantiate the novel algorithm for a postural controller as a robust and advantageous design for a MEC of multifunction prosthetic hands.
- Creator
- Date Issued
- 2015-01-01
- Academic Affiliation
- Journal Title
- Journal Issue/Number
- 4
- Journal Volume
- 52
- File Extent
- 449-466
- Subject
- 最新修改
- 2019-12-05
- Identifier
- PubMed ID: 26348320
- Resource Type
- 权利声明
- DOI
- ISSN
- 1938-1352
- Language
关联
单件
缩略图 | 标题 | 上传日期 | 公开度 | 行动 |
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novelPosturalControlAlgorithmForControlOfMultifunctionalM.pdf | 2019-12-05 | 公开 | 下载 |