Detection of neural spikes based on the combination of wavelet transforms and nonlinear energy operator / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 981-985, 2007.
Article
Dans Chinois
| WPRIM
| ID: wpr-346027
ABSTRACT
The microelectrode recordings of neuron discharge, which contain noises, are very complex and apt to be disturbed by many factors during the microelectrode-guided stereotactic operations. The varying signal-to-noise ratios are obstacles to the analysis of neural spikes. A novel method based on a combination of wavelet-based and non-linear energy operator is presented for the detection of neural spikes. The method is tested for neural signals of different patients and various SNR values. The results demonstrate its performance for successful detection and effective extraction of the waveform of neural spikes.
Texte intégral:
Disponible
Indice:
WPRIM (Pacifique occidental)
Sujet Principal:
Physiologie
/
Algorithmes
/
Traitement du signal assisté par ordinateur
/
Potentiels d'action
/
Dynamique non linéaire
/
Microélectrodes
/
Conduction nerveuse
/
Neurones
Type d'étude:
Etude diagnostique
/
Étude pronostique
Limites du sujet:
Humains
langue:
Chinois
Texte intégral:
Journal of Biomedical Engineering
Année:
2007
Type:
Article
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