Comput. Biol. Med. - A joint sparse representation-based method for double-trial evoked potentials estimation.

Tópicos

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Resumo

In this paper, we present a novel approach to solving an evoked potentials estimating problem. Generally, the evoked potentials in two consecutive trials obtained by repeated identical stimuli of the nerves are extremely similar. In order to trace evoked potentials, we propose a joint sparse representation-based double-trial evoked potentials estimation method, taking full advantage of this similarity. The estimation process is performed in three stages: first, according to the similarity of evoked potentials and the randomness of a spontaneous electroencephalogram, the two consecutive observations of evoked potentials are considered as superpositions of the common component and the unique components; second, making use of their characteristics, the two sparse dictionaries are constructed; and finally, we apply the joint sparse representation method in order to extract the common component of double-trial observations, instead of the evoked potential in each trial. A series of experiments carried out on simulated and human test responses confirmed the superior performance of our method.

Resumo Limpo

paper present novel approach solv evok potenti estim problem general evok potenti two consecut trial obtain repeat ident stimuli nerv extrem similar order trace evok potenti propos joint spars representationbas doubletri evok potenti estim method take full advantag similar estim process perform three stage first accord similar evok potenti random spontan electroencephalogram two consecut observ evok potenti consid superposit common compon uniqu compon second make use characterist two spars dictionari construct final appli joint spars represent method order extract common compon doubletri observ instead evok potenti trial seri experi carri simul human test respons confirm superior perform method

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