Epileptic MEG Spikes Detection Using Common Spatial Patterns and Linear Discriminant Analysis
Epilepsy is a brain disorder, where patients' lives are extremely disturbed by the occurrence of sudden unpredictable seizures. This paper develops patient-independent signal processing techniques based on common spatial patterns and linear discriminant analysis to detect epileptic activities (...
Main Authors: | Muhammad Imran Khalid, Turky Alotaiby, Saeed A. Aldosari, Saleh A. Alshebeili, Majed Hamad Al-Hameed, Fida Sadeq Y. Almohammed, Tahani S. Alotaibi |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2016-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/7552522/ |
Similar Items
-
Epileptic MEG Spikes Detection Using Amplitude Thresholding and Dynamic Time Warping
by: Muhammad Imran Khalid, et al.
Published: (2017-01-01) -
A Review of EEG and MEG Epileptic Spike Detection Algorithms
by: Fathi E. Abd El-Samie, et al.
Published: (2018-01-01) -
Interictal and Ictal MEG in presurgical evaluation for epilepsy surgery
by: Hermann Stefan, et al.
Published: (2020-08-01) -
Non-Epileptic Seizures with Interictal Spikes
by: J Gordon Millichap
Published: (1997-05-01) -
Epileptic neuronal networks: methods of identification andclinical relevance.
by: Hermann eStefan, et al.
Published: (2013-03-01)