Electromyography-Based Control of Lower Limb Prostheses: A Systematic Review
Author:
Affiliation:
1. Center for Bionics and Pain Research, Mölndal, Sweden
2. Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL, USA
Funder
Stiftelsen Promobilia
IngaBritt and Arne Lundbergs Foundation
Swedish Research Council
National Institutes of Health
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Biomedical Engineering
Link
http://xplorestaging.ieee.org/ielx7/8253409/10215077/10146006.pdf?arnumber=10146006
Reference146 articles.
1. Analysis of surface electromyography signal features on osteomyoplastic transtibial amputees for pattern recognition control architectures
2. Myoelectric neural interface enables accurate control of a virtual multiple degree-of-freedom foot-ankle prosthesis
3. Subject- and Environment-Based Sensor Variability for Wearable Lower-Limb Assistive Devices
4. Myoelectric Walking Mode Classification for Transtibial Amputees
5. Fusion of Bilateral Lower-Limb Neuromechanical Signals Improves Prediction of Locomotor Activities
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