340 related articles for article (PubMed ID: 32417698)
1. Cross-database evaluation of EEG based epileptic seizures detection driven by adaptive median feature baseline correction.
Raghu S; Sriraam N; Gommer ED; Hilkman DMW; Temel Y; Rao SV; Hegde AS; Kubben PL
Clin Neurophysiol; 2020 Jul; 131(7):1567-1578. PubMed ID: 32417698
[TBL] [Abstract][Full Text] [Related]
2. Performance evaluation of DWT based sigmoid entropy in time and frequency domains for automated detection of epileptic seizures using SVM classifier.
Raghu S; Sriraam N; Temel Y; Rao SV; Hegde AS; Kubben PL
Comput Biol Med; 2019 Jul; 110():127-143. PubMed ID: 31154257
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. Epileptic seizure recognition using EEG wavelet decomposition based on nonlinear and statistical features with support vector machine classification.
Nabil D; Benali R; Bereksi Reguig F
Biomed Tech (Berl); 2020 Apr; 65(2):133-148. PubMed ID: 31536031
[TBL] [Abstract][Full Text] [Related]
6. A Shallow Autoencoder Framework for Epileptic Seizure Detection in EEG Signals.
Khan GH; Khan NA; Altaf MAB; Abbasi Q
Sensors (Basel); 2023 Apr; 23(8):. PubMed ID: 37112452
[TBL] [Abstract][Full Text] [Related]
7. The detection of epileptic seizure signals based on fuzzy entropy.
Xiang J; Li C; Li H; Cao R; Wang B; Han X; Chen J
J Neurosci Methods; 2015 Mar; 243():18-25. PubMed ID: 25614384
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. EEG feature pre-processing for neonatal epileptic seizure detection.
Bogaarts JG; Gommer ED; Hilkman DM; van Kranen-Mastenbroek VH; Reulen JP
Ann Biomed Eng; 2014 Nov; 42(11):2360-8. PubMed ID: 25124649
[TBL] [Abstract][Full Text] [Related]
10. Extracting epileptic features in EEGs using a dual-tree complex wavelet transform coupled with a classification algorithm.
Al-Salman W; Li Y; Wen P; Miften FS; Oudah AY; Ghayab HRA
Brain Res; 2022 Mar; 1779():147777. PubMed ID: 34999060
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. A channel independent generalized seizure detection method for pediatric epileptic seizures.
Chakrabarti S; Swetapadma A; Pattnaik PK
Comput Methods Programs Biomed; 2021 Sep; 209():106335. PubMed ID: 34390934
[TBL] [Abstract][Full Text] [Related]
13. An automated detection of epileptic seizures EEG using CNN classifier based on feature fusion with high accuracy.
Chen W; Wang Y; Ren Y; Jiang H; Du G; Zhang J; Li J
BMC Med Inform Decis Mak; 2023 May; 23(1):96. PubMed ID: 37217878
[TBL] [Abstract][Full Text] [Related]
14. Epileptic Seizure Detection Based on Time-Frequency Images of EEG Signals Using Gaussian Mixture Model and Gray Level Co-Occurrence Matrix Features.
Li Y; Cui W; Luo M; Li K; Wang L
Int J Neural Syst; 2018 Sep; 28(7):1850003. PubMed ID: 29607682
[TBL] [Abstract][Full Text] [Related]
15. Automatic detection of epileptic seizures using Riemannian geometry from scalp EEG recordings.
Shariat A; Zarei A; Karvigh SA; Asl BM
Med Biol Eng Comput; 2021 Aug; 59(7-8):1431-1445. PubMed ID: 34128177
[TBL] [Abstract][Full Text] [Related]
16. Optimal training dataset composition for SVM-based, age-independent, automated epileptic seizure detection.
Bogaarts JG; Gommer ED; Hilkman DM; van Kranen-Mastenbroek VH; Reulen JP
Med Biol Eng Comput; 2016 Aug; 54(8):1285-93. PubMed ID: 27032931
[TBL] [Abstract][Full Text] [Related]
17. Seizure detection using wavelet decomposition of the prediction error signal from a single channel of intra-cranial EEG.
Zisheng Zhang ; Parhi KK
Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():4443-6. PubMed ID: 25570978
[TBL] [Abstract][Full Text] [Related]
18. Automatic identification of epileptic seizures from EEG signals using linear programming boosting.
Hassan AR; Subasi A
Comput Methods Programs Biomed; 2016 Nov; 136():65-77. PubMed ID: 27686704
[TBL] [Abstract][Full Text] [Related]
19. Regression analysis for detecting epileptic seizure with different feature extracting strategies.
Hussain L; Saeed S; Idris A; Awan IA; Shah SA; Majid A; Ahmed B; Chaudhary QA
Biomed Tech (Berl); 2019 Dec; 64(6):619-642. PubMed ID: 31145684
[TBL] [Abstract][Full Text] [Related]
20. Epileptic seizure detection on EEG signals using machine learning techniques and advanced preprocessing methods.
Mahjoub C; Le Bouquin Jeannès R; Lajnef T; Kachouri A
Biomed Tech (Berl); 2020 Jan; 65(1):33-50. PubMed ID: 31469648
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
