Shared human–robot proportional control of a dexterous myoelectric prosthesis
- 11 September 2019
- journal article
- research article
- Published by Springer Nature in Nature Machine Intelligence
- Vol. 1 (9) , 400-411
Abstract
No abstract availableKeywords
Funding Information
- EC | Horizon 2020 Framework Programme
- National Centre of Competence in Research Robotics
- Fondation Bertarelli
This publication has 34 references indexed in Scilit:
- Decoding of individual finger movements from surface EMG signals using vector autoregressive hierarchical hidden Markov models (VARHHMM)2017
- Myoelectric control of prosthetic hands: state-of-the-art reviewMedical Devices: Evidence and Research, 2016
- The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and ChallengesIEEE Transactions on Neural Systems and Rehabilitation Engineering, 2014
- Estimation of Finger Joint Angles from sEMG Using a Neural Network Including Time Delay Factor and Recurrent StructureISRN Rehabilitation, 2012
- Upper limb prosthetic rehabilitationOrthopaedics and Trauma, 2011
- Decoding of Individuated Finger Movements Using Surface ElectromyographyIEEE Transactions on Biomedical Engineering, 2008
- Continuous decoding of finger position from surface EMG signals for the control of powered prostheses2008
- Estimating the Prevalence of Limb Loss in the United States: 2005 to 2050Archives of Physical Medicine and Rehabilitation, 2008
- Upper-Limb ProstheticsAmerican Journal of Physical Medicine & Rehabilitation, 2007
- Upper limb prosthesis use and abandonmentProsthetics and Orthotics International, 2007