title: A data reconstruction system for EEGs recorded on paper.
abstract: More efficient image skeletonization techniques can lead to a reduction in the distortion of EEG images and high precision of data reconstruction. We have developed and improved a system by which EEGs recorded on paper can be converted to computer treatable digital data. The performance of the system was evaluated and it was found to have excellent EEG data reconstruction ability. The system makes it possible to apply various computer analyses to EEGs recorded on paper.
authors.affiliation: Department of Environmental Medicine, Faculty of Medicine, Kagoshima University, Japan.
authors.forename: G
authors.initials: G
authors.lastname: Wang
authors.forename: M
authors.initials: M
authors.lastname: Takigawa
authors.forename: T
authors.initials: T
authors.lastname: Matsushita
mesh_terms: D000465:Algorithms; D004569:Electroencephalography; D006801:Humans; D007091:Image Processing, Computer-Assisted