Resolving the Limb Position Effect in Myoelectric Pattern Recognition
By Anders Lyngvi Fougner, Erik J. Scheme, Adrian D. C. Chan, Kevin B. Englehart, Oyvind Stavdahl. IEEE transactions on neural systems and rehabilitation engineering, 2011
386 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/84bfe6388994f46a65f6bfb9426b9d716ecaa0a1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Ales Holobar
- Ning Jiang
- Oskar C. Aszmann
- Franck Tarpin-Bernard
- Dario Farina
- Angkoon Phinyomark
- Christine Servière
- Yann Laurillau
In Cellular and Molecular Neuroscience
- Oskar C. Aszmann
- Franck Tarpin-Bernard
- Dario Farina
- Angkoon Phinyomark
- Christine Servière
- Yann Laurillau
- Sylvie Charbonnier
- Ales Holobar
In Cognitive Neuroscience
- Ales Holobar
- Oskar C. Aszmann
- Dario Farina
- Angkoon Phinyomark
- Bernhard Graimann
- Hubertus Rehbaum
- Ning Jiang
- Hans Dietl
Citations in the corpus
- The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges (2014, background): “, electrode shift [31], [35], [43] or arm posture [32], [33], [44]–[46], are examples of such efforts.”
- EMG feature evaluation for improving myoelectric pattern recognition robustness (2013, background): “…of electrode location shift (Tkach et al., 2010; Young et al., 2010, 2011), variations in muscle contraction effort (Tkach et al., 2010), variations in limb position (Chen et al., 2011; Fougner et al., 2011), and changes in EMG patterns over time (Boschmann et al., 2010; Kaufmann et al., 2010).”