Simultaneous and Proportional Estimation of Hand Kinematics From EMG During Mirrored Movements at Multiple Degrees-of-Freedom
2012 | journal article. A publication with affiliation to the University of Göttingen.
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Simultaneous and Proportional Estimation of Hand Kinematics From EMG During Mirrored Movements at Multiple Degrees-of-Freedom
Muceli, S. & Farina, D. (2012)
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 20(3) pp. 371-378. DOI: https://doi.org/10.1109/TNSRE.2011.2178039
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Details
- Authors
- Muceli, Silvia; Farina, Dario
- Abstract
- This paper proposes and tests on able-bodied subjects a control strategy that can be practically applied in unilateral transradial amputees for simultaneous and proportional control of multiple degrees-of-freedom (DOFs). We used artificial neural networks to estimate kinematics of the complex wrist/hand from high-density surface electromyography (EMG) signals of the contralateral limb during mirrored bilateral movements in free space. The movements tested involved the concurrent activation of wrist flexion/extension, radial/ulnar deviation, forearm pronation/supination, and hand closing. The accuracy in estimation was in the range 79%-88% (r(2) index) for the four DOFs in six able-bodied subjects. Moreover, the estimation of the pronation/supination angle (wrist rotation) was influenced by the reduction in the number of EMG channels used for the estimation to a greater extent than the other DOFs. In conclusion, the proposed method and set-up provide a viable means for proportional and simultaneous control of multiple DOFs for hand prostheses.
- Issue Date
- 2012
- Status
- published
- Publisher
- Ieee-inst Electrical Electronics Engineers Inc
- Journal
- IEEE Transactions on Neural Systems and Rehabilitation Engineering
- ISSN
- 1534-4320