Brief A morphological filter for extracting waveform characteristics of single-sweep evoked potentials

Authors:
Shigeto Nishida;Masatoshi Nakamura;Kazuo Shindo;Masutaro Kanda;Hiroshi Shibasaki
Affiliations:
Department of Computer and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, 811-0295, Japan;Department of Advanced Systems Control Engineering, Graduate School of Science and Engineering, Saga University, Saga 840-8502, Japan;Department of Brain Pathophysiology, Kyoto University Faculty of Medicine, Kyoto 606-8507, Japan;Department of Brain Pathophysiology, Kyoto University Faculty of Medicine, Kyoto 606-8507, Japan;Department of Brain Pathophysiology, Kyoto University Faculty of Medicine, Kyoto 606-8507, Japan
Venue:
Automatica (Journal of IFAC)
Year:
1999

Citing 4
Cited 0

Multiscale median and morphological filters for 2D pattern recognition

Proceedings of of the IEEE winter workshop on Nonlinear digital signal processing
Scale-Space From Nonlinear Filters

IEEE Transactions on Pattern Analysis and Machine Intelligence
Structuring element adaptation for morphological filters

Journal of Visual Communication and Image Representation
Adaptive basis matrix for the morphological function processing opening and closing

IEEE Transactions on Image Processing

Quantified Score

Hi-index	22.14

Visualization

Abstract

A morphological filter was designed for extracting the waveform characteristics of pain SEP from the single-sweep record. The properties of the basic operations for the morphological filter; erosion, dilation, opening and closing were clarified in order to design an appropriate filter. The morphological filter was designed by selecting the structuring elements, which represented the features of the pain SEP waveform. The designed morphological filter was evaluated using the simulation data, and applied to the pain SEP data obtained from a normal adult with satisfactory results.