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- W2744205148 abstract "Three muscle activation estimators: a linear mean-absolute value filter, a recursive Bayesian method, and a kurtosis filter were compared as control approaches for an abstract myoelectric-controlled interface. The linear filter outperformed both the Bayesian and kurtosis methods with respect to participants' overall scores. Despite significantly less efficient trajectories, the Bayesian filter showed a reduction in the time required to reach individual targets. Results demonstrate both that linear methods can outperform more complex filtering techniques, and that real-time kurtosis may be used as an activation estimator." @default.
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- W2744205148 date "2017-05-01" @default.
- W2744205148 modified "2023-09-26" @default.
- W2744205148 title "Abstract myoelectric control with EMG drive estimated using linear, kurtosis and Bayesian filtering" @default.
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- W2744205148 doi "https://doi.org/10.1109/ner.2017.8008290" @default.
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