363 related articles for article (PubMed ID: 31482442)
1. A novel local senary pattern based epilepsy diagnosis system using EEG signals.
Tuncer T; Dogan S; Akbal E
Australas Phys Eng Sci Med; 2019 Dec; 42(4):939-948. PubMed ID: 31482442
[TBL] [Abstract][Full Text] [Related]
2. A Tunable-Q wavelet transform and quadruple symmetric pattern based EEG signal classification method.
Aydemir E; Tuncer T; Dogan S
Med Hypotheses; 2020 Jan; 134():109519. PubMed ID: 31877443
[TBL] [Abstract][Full Text] [Related]
3. A stable feature extraction method in classification epileptic EEG signals.
Kaya Y; Ertuğrul ÖF
Australas Phys Eng Sci Med; 2018 Sep; 41(3):721-730. PubMed ID: 30117044
[TBL] [Abstract][Full Text] [Related]
4. Epileptic seizure detection in EEG signal with GModPCA and support vector machine.
Jaiswal AK; Banka H
Biomed Mater Eng; 2017; 28(2):141-157. PubMed ID: 28372267
[TBL] [Abstract][Full Text] [Related]
5. Designing a robust feature extraction method based on optimum allocation and principal component analysis for epileptic EEG signal classification.
Siuly S; Li Y
Comput Methods Programs Biomed; 2015 Apr; 119(1):29-42. PubMed ID: 25704869
[TBL] [Abstract][Full Text] [Related]
6. Automated FBSE-EWT based learning framework for detection of epileptic seizures using time-segmented EEG signals.
Anuragi A; Sisodia DS; Pachori RB
Comput Biol Med; 2021 Sep; 136():104708. PubMed ID: 34358996
[TBL] [Abstract][Full Text] [Related]
7. A PCA aided cross-covariance scheme for discriminative feature extraction from EEG signals.
Zarei R; He J; Siuly S; Zhang Y
Comput Methods Programs Biomed; 2017 Jul; 146():47-57. PubMed ID: 28688489
[TBL] [Abstract][Full Text] [Related]
8. A feature extraction technique based on tunable Q-factor wavelet transform for brain signal classification.
Al Ghayab HR; Li Y; Siuly S; Abdulla S
J Neurosci Methods; 2019 Jan; 312():43-52. PubMed ID: 30468823
[TBL] [Abstract][Full Text] [Related]
9. Epileptic seizure detection in EEG signal using machine learning techniques.
Jaiswal AK; Banka H
Australas Phys Eng Sci Med; 2018 Mar; 41(1):81-94. PubMed ID: 29264792
[TBL] [Abstract][Full Text] [Related]
10. Graph Eigen Decomposition-Based Feature-Selection Method for Epileptic Seizure Detection Using Electroencephalography.
Molla MKI; Hassan KM; Islam MR; Tanaka T
Sensors (Basel); 2020 Aug; 20(16):. PubMed ID: 32824708
[TBL] [Abstract][Full Text] [Related]
11. An effective approach to classify epileptic EEG signal using local neighbor gradient pattern transformation methods.
Sairamya NJ; Thomas George S; Balakrishnan R; Subathra MSP
Australas Phys Eng Sci Med; 2018 Dec; 41(4):1029-1046. PubMed ID: 30374770
[TBL] [Abstract][Full Text] [Related]
12. Revealing False Positive Features in Epileptic EEG Identification.
Lian J; Shi Y; Zhang Y; Jia W; Fan X; Zheng Y
Int J Neural Syst; 2020 Nov; 30(11):2050017. PubMed ID: 32448016
[TBL] [Abstract][Full Text] [Related]
13. Automated Diagnosis of Epilepsy Using Key-Point-Based Local Binary Pattern of EEG Signals.
Tiwari AK; Pachori RB; Kanhangad V; Panigrahi BK
IEEE J Biomed Health Inform; 2017 Jul; 21(4):888-896. PubMed ID: 27416609
[TBL] [Abstract][Full Text] [Related]
14. [Automatic Epileptic Electroencephalogram Detection during Normal,Interictal and Ictal Periods Combining Feature Extraction Based on Sample Entropy and Wavelet Packet Energy with Real AdaBoost Algorithm].
Zhang J; Jiang W; Ben X
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2016 Dec; 33(6):1031-8. PubMed ID: 29714964
[TBL] [Abstract][Full Text] [Related]
15. EEG Signal Analysis for Diagnosing Neurological Disorders Using Discrete Wavelet Transform and Intelligent Techniques.
Alturki FA; AlSharabi K; Abdurraqeeb AM; Aljalal M
Sensors (Basel); 2020 Apr; 20(9):. PubMed ID: 32354161
[TBL] [Abstract][Full Text] [Related]
16. Epilepsy EEG classification method based on supervised locality preserving canonical correlation analysis.
Liu H; Gao Y; Zhang J; Zhang J
Math Biosci Eng; 2022 Jan; 19(1):624-642. PubMed ID: 34903005
[TBL] [Abstract][Full Text] [Related]
17. Analysis of EEG signals by combining eigenvector methods and multiclass support vector machines.
Derya Ubeyli E
Comput Biol Med; 2008 Jan; 38(1):14-22. PubMed ID: 17651716
[TBL] [Abstract][Full Text] [Related]
18. Detection of k-complexes in EEG signals using a multi-domain feature extraction coupled with a least square support vector machine classifier.
Al-Salman W; Li Y; Wen P
Neurosci Res; 2021 Nov; 172():26-40. PubMed ID: 33965451
[TBL] [Abstract][Full Text] [Related]
19. Assessment of CSP-based two-stage channel selection approach and local transformation-based feature extraction for classification of motor imagery/movement EEG data.
Onay FK; Köse C
Biomed Tech (Berl); 2019 Dec; 64(6):643-653. PubMed ID: 31095507
[TBL] [Abstract][Full Text] [Related]
20. An efficient detection of epileptic seizure by differentiation and spectral analysis of electroencephalograms.
Kang JH; Chung YG; Kim SP
Comput Biol Med; 2015 Nov; 66():352-6. PubMed ID: 25982199
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
