The objective of this research is to identify major subject areas of medical informatics and
explore the time-variant changes therein. As such it can inform the field about where medical …

This work offers a preliminary study on methods for automatic detection of interictal
epileptiform discharges in electroencephalogram (EEG) signals. The present research …

Background: Due to the increased publication of articles in various scientific fields, analyzing
the published topics in specialized journals is important and necessary. Objectives: This …

An automated method has been presented for the detection of epileptic spikes in the
electroencephalogram (EEG) using a deterministic finite automata (DFA) and has been …

Manual processing of recorded EEG data for characteristics like epileptic spikes is very time
consuming since the recording of EEG for a longer duration producing enormous amount of …

This work emphasizes to automatically detect the pattern called 'epileptic spike'from
electroencephalogram (EEG) signal using multilayer perceptron (MLP). The analysis work is …

(EEG) has been proved as one of the most important bio-signal that deals with a number of
problems and disorders related to the human being. Epilepsy is one of the most commonly …

We are experiencing a deluge of data in all fields of scientific and business research,
particularly in the life sciences, due to the development of better instrumentation and the …

Epileptic seizure detection in a large database of Electroencephalography (EEG) signals
needs to be a time constrained process for real-time analysis. Epileptic seizure detection …

Untitled Page 1 Page 2 International Journal of Information Engineering and Electronic
Business (IJIEEB) ISSN Print: 2074-9023, ISSN Online: 2074-9031 Volume 14, Number 3 …