Description
Introduction: Options currently available to individuals with upper limb loss range from prosthetic hands that can perform many movements, but require more cognitive effort to control, to simpler terminal devices with limited functional abilities. We attempted to address this issue by designing a myoelectric control system to modulate prosthetic hand posture and digit force distribution.
Copyright Statement
Reuse Permissions
Download count: 0
Details
Contributors
- Gailey, Alycia (Author)
- Artemiadis, Panagiotis (Author)
- Santello, Marco (Author)
- Ira A. Fulton Schools of Engineering (Contributor)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2017-02-01
Resource Type
Collections this item is in
Identifier
- Digital object identifier: 10.3389/fneur.2017.00007
- Identifier TypeInternational standard serial numberIdentifier Value1664-2295
Note
- View the article as published at http://journal.frontiersin.org/article/10.3389/fneur.2017.00007/full, opens in a new window
Citation and reuse
Cite this item
This is a suggested citation. Consult the appropriate style guide for specific citation guidelines.
Gailey, A., Artemiadis, P., & Santello, M. (2017). Proof of Concept of an Online EMG-Based Decoding of Hand Postures and Individual Digit Forces for Prosthetic Hand Control. Frontiers in Neurology, 8. doi:10.3389/fneur.2017.00007