Surface EMG Decomposition Based on <italic>K</italic>-means Clustering and Convolution Kernel Compensation
نویسندگان
چکیده
منابع مشابه
Progressive FastICA Peel-Off and Convolution Kernel Compensation Demonstrate High Agreement for High Density Surface EMG Decomposition
Decomposition of electromyograms (EMG) is a key approach to investigating motor unit plasticity. Various signal processing techniques have been developed for high density surface EMG decomposition, among which the convolution kernel compensation (CKC) has achieved high decomposition yield with extensive validation. Very recently, a progressive FastICA peel-off (PFP) framework has also been deve...
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ژورنال
عنوان ژورنال: IEEE Journal of Biomedical and Health Informatics
سال: 2015
ISSN: 2168-2194,2168-2208
DOI: 10.1109/jbhi.2014.2328497