Discrete Action Control for Prosthetic Digits
| Autor: | Agamemnon Krasoulis, Kianoush Nazarpour |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
upper-limb prosthesis
electromyography multi-output classification medicine.diagnostic_test Computer science Electromyography Speech recognition Movement General Neuroscience Rehabilitation Biomedical Engineering Artificial Limbs Discrete action Upper Extremity Match moving Amputees Control system medicine Internal Medicine Humans Myoelectric control |
| Zdroj: | Krasoulis, A & Nazarpour, K 2022, ' Discrete action control for prosthetic digits ', IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 30, pp. 610-620 . https://doi.org/10.1109/TNSRE.2022.3157710 |
| ISSN: | 1558-0210 1534-4320 |
| DOI: | 10.1109/tnsre.2022.3157710 |
| Popis: | ObjectiveWe aim to develop a paradigm for simultaneous and independent control of multiple degrees of freedom (DOFs) for upper-limb prostheses.ApproachWe introduce action control, a novel method to operate prosthetic digits with surface electromyography (EMG) based on multi-label, multi-class classification. At each time step, the decoder classifies movement intent for each controllable DOF into one of three categories: open, close, or stall (i.e., no movement). We implemented a real-time myoelectric control system using this method and evaluated it by running experiments with one unilateral and two bilateral amputees. Participants controlled a six-DOF bar interface on a computer display, with each DOF corresponding to a motor function available in multi-articulated prostheses.Main resultsWe show that action control can significantly and systematically outperform the state-of-the-art method of position control via multi-output regression in both task- and non-task-related measures. Improvements in median task performance ranged from 20.14% to 62.32% for individual participants. Analysis of a post-experimental survey revealed that all participants rated action higher than position control in a series of qualitative questions and expressed an overall preference for the former.SignificanceAction control has the potential to improve the dexterity of upper-limb prostheses. In comparison with regression-based systems, it only requires discrete instead of real-valued ground truth labels, typically collected with motion tracking systems. This feature makes the system both practical in a clinical setting and also suitable for bilateral amputation. This work is the first demonstration of myoelectric digit control in bilateral upper-limb amputees. Further investigation and pre-clinical evaluation are required to assess the translational potential of the method. |
| Databáze: | OpenAIRE |
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