机译:卷积盲源分离的多通道肌内和表面肌电图分解
Institute of Neurorehabilitation Systems, Bernstein Focus Neurotechnology Goettingen, Bernstein Center for Computational Neuroscience, University Medical Center Goettingen, Georg-August University of Goettingen, Goettingen, Germany;
Institute of Neurorehabilitation Systems, Bernstein Focus Neurotechnology Goettingen, Bernstein Center for Computational Neuroscience, University Medical Center Goettingen, Georg-August University of Goettingen, Goettingen, Germany;
Institute of Neurorehabilitation Systems, Bernstein Focus Neurotechnology Goettingen, Bernstein Center for Computational Neuroscience, University Medical Center Goettingen, Georg-August University of Goettingen, Goettingen, Germany;
Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia;
Institute of Neurorehabilitation Systems, Bernstein Focus Neurotechnology Goettingen, Bernstein Center for Computational Neuroscience, University Medical Center Goettingen, Georg-August University of Goettingen, Goettingen, Germany;
EMG; motor unit; motor neuron; decomposition; blind source separation;
机译:基于循环平稳的盲源分离对多通道肌内肌电信号的分解
机译:卷积盲源分离呼吸肌的表面肌电图测量
机译:一种测试多通道长期肌内肌电信号记录分解的可靠性和准确性的方法
机译:基于卷曲盲源分离方法的高密度表面EMG分解
机译:使用奇异值分解对非平稳信号进行盲源分离。
机译:渐进式FastICA剥离和卷积核补偿证明了高密度表面EMG分解的高度一致性
机译:基于循环平稳的盲源分离对多通道肌内EmG信号的分解