eprintid: 3696
rev_number: 7
eprint_status: archive
userid: 17
dir: disk0/00/00/36/96
datestamp: 2019-12-04 07:01:20
lastmod: 2019-12-04 07:01:20
status_changed: 2019-12-04 07:01:20
type: article
metadata_visibility: show
creators_name: Nguyen, Thi Anh Dao
creators_name: Le, Trung Thanh
creators_name: Nguyen, Viet Dung
creators_name: Nguyen, Linh Trung
creators_name: Le, Vu Ha
creators_id: daonta81@gmail.com
creators_id: letrungthanhtbt@gmail.com
creators_id: nvdung@vnu.edu.vn
creators_id: linhtrung@vnu.edu.vn
creators_id: halv@vnu.edu.vn
title: New feature selection method for multi-channel EEG epileptic spike detection system
ispublished: inpress
subjects: ECE
subjects: IT
divisions: avitech
divisions: fac_fet
abstract: Epilepsy is one of the most common and severe brain disorders. Electroencephalogram (EEG) is widely used in epilepsy diagnosis and treatment, with it the epileptic spikes can be observed. Tensor decomposition-based feature extraction has been proposed to facilitate automatic detection of EEG epileptic spikes. However, tensor decomposition may still result in a large number of features which are considered negligible in determining expected output performance. We proposed a new feature selection method that combines the Fisher score and p-value feature selection methods to rank the features by using the longest common sequences (LCS) to separate epileptic and non-epileptic spikes. The proposed method significantly outperformed several state-of-the-art feature selection methods.
date: 2019-12-01
date_type: published
publisher: VNU
contact_email: linhtrung@vnu.edu.vn
full_text_status: none
publication: VNU Journal of Science: Computer Science and Communication Engineering
refereed: TRUE
issn: 2588-1086
citation:   Nguyen, Thi Anh Dao and Le, Trung Thanh and Nguyen, Viet Dung and Nguyen, Linh Trung and Le, Vu Ha  (2019) New feature selection method for multi-channel EEG epileptic spike detection system.  VNU Journal of Science: Computer Science and Communication Engineering .    ISSN 2588-1086    (In Press)