دورية أكاديمية
Implications of EMG channel count: enhancing pattern recognition online prosthetic testing
| العنوان: | Implications of EMG channel count: enhancing pattern recognition online prosthetic testing |
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| المؤلفون: | Ann M. Simon, Keira Newkirk, Laura A. Miller, Kristi L. Turner, Kevin Brenner, Michael Stephens, Levi J. Hargrove |
| المصدر: | Frontiers in Rehabilitation Sciences, Vol 5 (2024) |
| بيانات النشر: | Frontiers Media S.A., 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Other systems of medicine LCC:Medical technology |
| مصطلحات موضوعية: | below-elbow amputation, artificial hand, channel reduction, muscle signals, myoelectric control, outcome measures, Other systems of medicine, RZ201-999, Medical technology, R855-855.5 |
| الوصف: | IntroductionMyoelectric pattern recognition systems have shown promising control of upper limb powered prostheses and are now commercially available. These pattern recognition systems typically record from up to 8 muscle sites, whereas other control systems use two-site control. While previous offline studies have shown 8 or fewer sites to be optimal, real-time control was not evaluated.MethodsSix individuals with no limb absence and four individuals with a transradial amputation controlled a virtual upper limb prosthesis using pattern recognition control with 8 and 16 channels of EMG. Additionally, two of the individuals with a transradial amputation performed the Assessment for Capacity of Myoelectric Control (ACMC) with a multi-articulating hand and wrist prosthesis with the same channel count conditions.ResultsUsers had significant improvements in control when using 16 compared to 8 EMG channels including decreased classification error (p = 0.006), decreased completion time (p = 0.019), and increased path efficiency (p = 0.013) when controlling a virtual prosthesis. ACMC scores increased by more than three times the minimal detectable change from the 8 to the 16-channel condition.DiscussionThe results of this study indicate that increasing EMG channel count beyond the clinical standard of 8 channels can benefit myoelectric pattern recognition users. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2673-6861 |
| Relation: | https://www.frontiersin.org/articles/10.3389/fresc.2024.1345364/full; https://doaj.org/toc/2673-6861 |
| DOI: | 10.3389/fresc.2024.1345364 |
| URL الوصول: | https://doaj.org/article/e56d574654a94ddaa4af73921c796d2c |
| رقم الأكسشن: | edsdoj.56d574654a94ddaa4af73921c796d2c |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 26736861 |
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| DOI: | 10.3389/fresc.2024.1345364 |