Detection of epilepsy from EEG signal during seizure using entropy-based fuzzy C-means
One of the major roles of Electrocephalography (EEG) is an aid to diagnose epilepsy. Abnormal patterns such as spikes, sharp wave complexes can be seen. Our main interest is to extract information about the dynamics from a few observations of this record signal. In this study, the entropy-based fuzz...
保存先:
| 主要な著者: | , , , |
|---|---|
| フォーマット: | 論文 |
| 出版事項: |
Maxwell Scientific Organization
2012
|
| 主題: | |
| オンライン･アクセス: | http://eprints.utm.my/id/eprint/33436/ http://maxwellsci.com/print/rjaset/v4-3588-3591.pdf |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
| id |
my.utm.33436 |
|---|---|
| record_format |
eprints |
| spelling |
my.utm.334362019-03-05T02:03:11Z http://eprints.utm.my/id/eprint/33436/ Detection of epilepsy from EEG signal during seizure using entropy-based fuzzy C-means Ahmad, Tahir Ghanbari, M. Askaripour, M. Behboodiyan, N. Q Science (General) One of the major roles of Electrocephalography (EEG) is an aid to diagnose epilepsy. Abnormal patterns such as spikes, sharp wave complexes can be seen. Our main interest is to extract information about the dynamics from a few observations of this record signal. In this study, the entropy-based fuzzy c-Means is used to cluster EEG signal of patients during an epileptic seizure.We obtained signa tures of general epilepsy by superimposing results of the method. Maxwell Scientific Organization 2012-10-01 Article PeerReviewed Ahmad, Tahir and Ghanbari, M. and Askaripour, M. and Behboodiyan, N. (2012) Detection of epilepsy from EEG signal during seizure using entropy-based fuzzy C-means. Research Journal of Applied Sciences, Engineering and Technology, 4 (19). pp. 3588-3591. ISSN 2040-7467 http://maxwellsci.com/print/rjaset/v4-3588-3591.pdf |
| institution |
Universiti Teknologi Malaysia |
| building |
UTM Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Teknologi Malaysia |
| content_source |
UTM Institutional Repository |
| url_provider |
http://eprints.utm.my/ |
| topic |
Q Science (General) |
| spellingShingle |
Q Science (General) Ahmad, Tahir Ghanbari, M. Askaripour, M. Behboodiyan, N. Detection of epilepsy from EEG signal during seizure using entropy-based fuzzy C-means |
| description |
One of the major roles of Electrocephalography (EEG) is an aid to diagnose epilepsy. Abnormal patterns such as spikes, sharp wave complexes can be seen. Our main interest is to extract information about the dynamics from a few observations of this record signal. In this study, the entropy-based fuzzy c-Means is used to cluster EEG signal of patients during an epileptic seizure.We obtained signa tures of general epilepsy by superimposing results of the method. |
| format |
Article |
| author |
Ahmad, Tahir Ghanbari, M. Askaripour, M. Behboodiyan, N. |
| author_facet |
Ahmad, Tahir Ghanbari, M. Askaripour, M. Behboodiyan, N. |
| author_sort |
Ahmad, Tahir |
| title |
Detection of epilepsy from EEG signal during seizure using entropy-based fuzzy C-means |
| title_short |
Detection of epilepsy from EEG signal during seizure using entropy-based fuzzy C-means |
| title_full |
Detection of epilepsy from EEG signal during seizure using entropy-based fuzzy C-means |
| title_fullStr |
Detection of epilepsy from EEG signal during seizure using entropy-based fuzzy C-means |
| title_full_unstemmed |
Detection of epilepsy from EEG signal during seizure using entropy-based fuzzy C-means |
| title_sort |
detection of epilepsy from eeg signal during seizure using entropy-based fuzzy c-means |
| publisher |
Maxwell Scientific Organization |
| publishDate |
2012 |
| url |
http://eprints.utm.my/id/eprint/33436/ http://maxwellsci.com/print/rjaset/v4-3588-3591.pdf |
| _version_ |
1643649330734694400 |
| score |
13.251813 |