Detection of Epileptic Seizure Using Wireless Sensor Networks
The monitoring of epileptic seizures is mainly done by means of electroencephalogram (EEG) monitoring. Although this method is accurate, it is not comfortable for the patient as the EEG-electrodes have to be attached to the scalp which hampers the patient′s movement. This makes long-term home monito...
Main Authors: | Golshan Taheri Borujeny, Mehran Yazdi, Alireza Keshavarz-Haddad, Arash Rafie Borujeny |
---|---|
Format: | Article |
Language: | English |
Published: |
Wolters Kluwer Medknow Publications
2013-01-01
|
Series: | Journal of Medical Signals and Sensors |
Subjects: | |
Online Access: | http://www.jmss.mui.ac.ir/article.asp?issn=2228-7477;year=2013;volume=3;issue=2;spage=63;epage=68;aulast=Borujeny |
Similar Items
-
Classification of epileptic seizure dataset using different machine learning algorithms
by: Khaled Mohamad Almustafa
Published: (2020-01-01) -
Enhanced Detection of Epileptic Seizure Using EEG Signals in Combination With Machine Learning Classifiers
by: Wail Mardini, et al.
Published: (2020-01-01) -
Distance-Constraint k-Nearest Neighbor Searching in Mobile Sensor Networks
by: Yongkoo Han, et al.
Published: (2015-07-01) -
DWT Based Detection of Epileptic Seizure From EEG Signals Using Naive Bayes and k-NN Classifiers
by: A. Sharmila, et al.
Published: (2016-01-01) -
Epileptic Seizure Detection based on Wavelet Transform Statistics Map and EMD Method for Hilbert-Huang Spectral Analyzing in Gamma Frequency Band of EEG Signals
by: Morteza Behnam, et al.
Published: (2015-08-01)