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Updated: Jul 11, 2026
High Density Event-related Potential Data Acquisition in Cognitive Neuroscience
Published on: April 17, 2010
Construction of a morphological filter for detecting an event-related potential P300 in single sweep EEG record in
S Nishida1, M Nakamura, M Miyazaki
1Department of Communication and Computer Engineering, Fukuoka Institute of Technology, Japan.
Abstract:
A morphological filter for single sweep records of event-related potential (ERP) obtained in an auditory oddball paradigm, especially P300 waveform, was constructed. By combining four basic operations; erosion, dilation, opening and closing, we could derive a desired filter whose properties fit the current objectives. The morphological filter for the single sweep records of ERP was constructed by taking into account the features of the signal and noise components. The morphological filter had superior properties for distinguishing the signal from the noise even when both were within the same frequency band, as in case of children. The constructed morphological filter was evaluated by using the simulation data of ERP and then applied to the actual ERP data obtained from nine normal children. The constructed morphological filter was proved to be an appropriate tool for single sweep analysis of ERP.
