180 related articles for article (PubMed ID: 38454117)
21. Review on Epileptic Seizure Prediction: Machine Learning and Deep Learning Approaches.
Natu M; Bachute M; Gite S; Kotecha K; Vidyarthi A
Comput Math Methods Med; 2022; 2022():7751263. PubMed ID: 35096136
[TBL] [Abstract][Full Text] [Related]
22. Seizure forecasting using minimally invasive, ultra-long-term subcutaneous electroencephalography: Individualized intrapatient models.
Viana PF; Pal Attia T; Nasseri M; Duun-Henriksen J; Biondi A; Winston JS; Pavão Martins I; Nurse ES; Dümpelmann M; Schulze-Bonhage A; Freestone DR; Kjaer TW; Richardson MP; Brinkmann BH
Epilepsia; 2023 Dec; 64 Suppl 4(Suppl 4):S124-S133. PubMed ID: 35395101
[TBL] [Abstract][Full Text] [Related]
23. Crowdsourcing reproducible seizure forecasting in human and canine epilepsy.
Brinkmann BH; Wagenaar J; Abbot D; Adkins P; Bosshard SC; Chen M; Tieng QM; He J; Muñoz-Almaraz FJ; Botella-Rocamora P; Pardo J; Zamora-Martinez F; Hills M; Wu W; Korshunova I; Cukierski W; Vite C; Patterson EE; Litt B; Worrell GA
Brain; 2016 Jun; 139(Pt 6):1713-22. PubMed ID: 27034258
[TBL] [Abstract][Full Text] [Related]
24. Epileptic seizure anticipation and localisation of epileptogenic region using EEG signals.
Sharma A; Rai JK; Tewari RP
J Med Eng Technol; 2018 Apr; 42(3):203-216. PubMed ID: 29798696
[TBL] [Abstract][Full Text] [Related]
25. Seizure Forecasting and the Preictal State in Canine Epilepsy.
Varatharajah Y; Iyer RK; Berry BM; Worrell GA; Brinkmann BH
Int J Neural Syst; 2017 Feb; 27(1):1650046. PubMed ID: 27464854
[TBL] [Abstract][Full Text] [Related]
26. The circadian profile of epilepsy improves seizure forecasting.
Karoly PJ; Ung H; Grayden DB; Kuhlmann L; Leyde K; Cook MJ; Freestone DR
Brain; 2017 Aug; 140(8):2169-2182. PubMed ID: 28899023
[TBL] [Abstract][Full Text] [Related]
27. Seizure prediction with spectral power of EEG using cost-sensitive support vector machines.
Park Y; Luo L; Parhi KK; Netoff T
Epilepsia; 2011 Oct; 52(10):1761-70. PubMed ID: 21692794
[TBL] [Abstract][Full Text] [Related]
28. Patient-Specific Preictal Pattern-Aware Epileptic Seizure Prediction with Federated Learning.
Saemaldahr R; Ilyas M
Sensors (Basel); 2023 Jul; 23(14):. PubMed ID: 37514873
[TBL] [Abstract][Full Text] [Related]
29. Epileptic Seizure Prediction Using Big Data and Deep Learning: Toward a Mobile System.
Kiral-Kornek I; Roy S; Nurse E; Mashford B; Karoly P; Carroll T; Payne D; Saha S; Baldassano S; O'Brien T; Grayden D; Cook M; Freestone D; Harrer S
EBioMedicine; 2018 Jan; 27():103-111. PubMed ID: 29262989
[TBL] [Abstract][Full Text] [Related]
30. Epileptic seizure prediction and control.
Iasemidis LD
IEEE Trans Biomed Eng; 2003 May; 50(5):549-58. PubMed ID: 12769431
[TBL] [Abstract][Full Text] [Related]
31. Hilbert Vibration Decomposition-based epileptic seizure prediction with neural network.
Büyükçakır B; Elmaz F; Mutlu AY
Comput Biol Med; 2020 Apr; 119():103665. PubMed ID: 32090900
[TBL] [Abstract][Full Text] [Related]
32. Multichannel Synthetic Preictal EEG Signals to Enhance the Prediction of Epileptic Seizures.
Xu Y; Yang J; Sawan M
IEEE Trans Biomed Eng; 2022 Nov; 69(11):3516-3525. PubMed ID: 35503840
[TBL] [Abstract][Full Text] [Related]
33. Tensor-based Uncorrelated Multilinear Discriminant Analysis for Epileptic Seizure Prediction.
Zhang R; Jiang X; Dai C; Chen W
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():541-544. PubMed ID: 33018046
[TBL] [Abstract][Full Text] [Related]
34. A deep learning based ensemble learning method for epileptic seizure prediction.
Muhammad Usman S; Khalid S; Bashir S
Comput Biol Med; 2021 Sep; 136():104710. PubMed ID: 34364257
[TBL] [Abstract][Full Text] [Related]
35. Seizure forecasting using minimally invasive, ultra-long-term subcutaneous EEG: Generalizable cross-patient models.
Pal Attia T; Viana PF; Nasseri M; Duun-Henriksen J; Biondi A; Winston JS; P Martins I; Nurse ES; Dümpelmann M; Worrell GA; Schulze-Bonhage A; Freestone DR; Kjaer TW; Brinkmann BH; Richardson MP
Epilepsia; 2023 Dec; 64 Suppl 4(Suppl 4):S114-S123. PubMed ID: 35441703
[TBL] [Abstract][Full Text] [Related]
36. Epileptic seizure prediction using spectral width of the covariance matrix.
EPMoghaddam D; Sheth SA; Haneef Z; Gavvala J; Aazhang B
J Neural Eng; 2022 Apr; 19(2):. PubMed ID: 35320787
[No Abstract] [Full Text] [Related]
37. Seizure forecasting: Where do we stand?
Andrzejak RG; Zaveri HP; Schulze-Bonhage A; Leguia MG; Stacey WC; Richardson MP; Kuhlmann L; Lehnertz K
Epilepsia; 2023 Dec; 64 Suppl 3(Suppl 3):S62-S71. PubMed ID: 36780237
[TBL] [Abstract][Full Text] [Related]
38. Epileptic seizure prediction using relative spectral power features.
Bandarabadi M; Teixeira CA; Rasekhi J; Dourado A
Clin Neurophysiol; 2015 Feb; 126(2):237-48. PubMed ID: 24969376
[TBL] [Abstract][Full Text] [Related]
39. Using scalp EEG and intracranial EEG signals for predicting epileptic seizures: Review of available methodologies.
Usman SM; Khalid S; Akhtar R; Bortolotto Z; Bashir Z; Qiu H
Seizure; 2019 Oct; 71():258-269. PubMed ID: 31479850
[TBL] [Abstract][Full Text] [Related]
40. A signal processing based analysis and prediction of seizure onset in patients with epilepsy.
Namazi H; Kulish VV; Hussaini J; Hussaini J; Delaviz A; Delaviz F; Habibi S; Ramezanpoor S
Oncotarget; 2016 Jan; 7(1):342-50. PubMed ID: 26586477
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
