Improving the Robustness of Electromyogram-Pattern Recognition for Prosthetic Control by a Postprocessing Strategy

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Improving the Robustness of Electromyogram-Pattern Recognition for Prosthetic Control by a Postprocessing Strategy

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2017 nî lūn-bûn

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2017年の論文

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2017年論文

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2017年論文

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2017年論文

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2017年論文

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2017年論文

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2017年论文

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2017年论文

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Improving the Robustness of El ...... l by a Postprocessing Strategy

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Improving the Robustness of El ...... l by a Postprocessing Strategy

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Improving the Robustness of El ...... l by a Postprocessing Strategy

@en

Improving the Robustness of El ...... l by a Postprocessing Strategy

@nl

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Improving the Robustness of El ...... l by a Postprocessing Strategy

@en

Improving the Robustness of El ...... l by a Postprocessing Strategy

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P1476

Improving the Robustness of El ...... l by a Postprocessing Strategy

@en

P2093

Guanglin Li

http://www.w3.org/2001/XMLSchema#string

Peng Fang

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Xiangxin Li

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Xu Zhang

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Zhen Huang

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P2860

Toward attenuating the impact of arm positions on electromyography pattern-recognition based motion classification in transradial amputees

Targeted muscle reinnervation for real-time myoelectric control of multifunction artificial arms

Quantifying pattern recognition-based myoelectric control of multifunctional transradial prostheses

The effects of electrode size and orientation on the sensitivity of myoelectric pattern recognition systems to electrode shift

Determining the optimal window length for pattern recognition-based myoelectric control: balancing the competing effects of classification error and controller delay.

Influence of the training set on the accuracy of surface EMG classification in dynamic contractions for the control of multifunction prostheses

Teager-Kaiser Operator improves the accuracy of EMG onset detection independent of signal-to-noise ratio.

Evaluating EMG Feature and Classifier Selection for Application to Partial-Hand Prosthesis Control

Assessment of a Wearable Force- and Electromyography Device and Comparison of the Related Signals for Myocontrol.

A motion-classification strategy based on sEMG-EEG signal combination for upper-limb amputees.

P304

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P31

scholarly article

P356

10.3389/FNBOT.2017.00051

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P478

http://www.w3.org/2001/XMLSchema#string

P50

Oluwarotimi Williams Samuel

P577

2017-09-27T00:00:00Z

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P698

29021753

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P932

5623687

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