Spike train discrimination and analysis in neural and surface electromyography (sEMG) applications (2013)
Abstract / truncated to 115 words
The term "spike" is used to describe a short-time event that is the result of the activity of its source. Spikes can be seen in diﬀerent signal modalities. In these modalities, often more than one source generates spikes. Classiﬁcation algorithms can be used to group similar spikes, ideally spikes from the same source. This work examines the classiﬁcation of spikes generated from neurons and muscles. When each detected spike is assigned to its source, the spike trains of these sources can provide information on complex brain network functioning, muscle disorders, and other applications. During the past several decades, there were many attempts to create and improve spike classiﬁcation algorithms. No matter how advanced these methods ... toggle 1 keywordsemg
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