201 related articles for article (PubMed ID: 27147119)
1. Detection of Epileptic Seizures Using Phase-Amplitude Coupling in Intracranial Electroencephalography.
Edakawa K; Yanagisawa T; Kishima H; Fukuma R; Oshino S; Khoo HM; Kobayashi M; Tanaka M; Yoshimine T
Sci Rep; 2016 May; 6():25422. PubMed ID: 27147119
[TBL] [Abstract][Full Text] [Related]
2. Analysis of instantaneous amplitude and frequency of intracranial EEG signal to characterize epileptic seizure stages.
Díaz MA; Viola JC; Esteller R
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():1290-3. PubMed ID: 18002199
[TBL] [Abstract][Full Text] [Related]
3. Chronological changes in phase-amplitude coupling during epileptic seizures in temporal lobe epilepsy.
Ueda T; Iimura Y; Mitsuhashi T; Suzuki H; Miao Y; Nishioka K; Tamrakar S; Matsui R; Tanaka T; Otsubo H; Sugano H; Kondo A
Clin Neurophysiol; 2023 Apr; 148():44-51. PubMed ID: 36796285
[TBL] [Abstract][Full Text] [Related]
4. Subdural EEG classification into seizure and nonseizure files using neural networks in the gamma frequency band.
Ayala M; Cabrerizo M; Jayakar P; Adjouadi M
J Clin Neurophysiol; 2011 Feb; 28(1):20-9. PubMed ID: 21221013
[TBL] [Abstract][Full Text] [Related]
5. Seizure detection: an assessment of time- and frequency-based features in a unified two-dimensional decisional space using nonlinear decision functions.
Tito M; Cabrerizo M; Ayala M; Jayakar P; Adjouadi M
J Clin Neurophysiol; 2009 Dec; 26(6):381-91. PubMed ID: 19952562
[TBL] [Abstract][Full Text] [Related]
6. Epileptic seizure prediction in intracranial EEG using critical nucleus based on phase transition.
Zhong L; Wu J; He S; Yi F; Zeng C; Li X; Li Z; Huang Z
Comput Methods Programs Biomed; 2022 Nov; 226():107091. PubMed ID: 36096023
[TBL] [Abstract][Full Text] [Related]
7. Exploring the time-frequency content of high frequency oscillations for automated identification of seizure onset zone in epilepsy.
Liu S; Sha Z; Sencer A; Aydoseli A; Bebek N; Abosch A; Henry T; Gurses C; Ince NF
J Neural Eng; 2016 Apr; 13(2):026026. PubMed ID: 26924828
[TBL] [Abstract][Full Text] [Related]
8. Phase-amplitude coupling between infraslow and high-frequency activities well discriminates between the preictal and interictal states.
Hashimoto H; Khoo HM; Yanagisawa T; Tani N; Oshino S; Kishima H; Hirata M
Sci Rep; 2021 Aug; 11(1):17405. PubMed ID: 34465798
[TBL] [Abstract][Full Text] [Related]
9. Detecting epileptic seizures in long-term human EEG: a new approach to automatic online and real-time detection and classification of polymorphic seizure patterns.
Meier R; Dittrich H; Schulze-Bonhage A; Aertsen A
J Clin Neurophysiol; 2008 Jun; 25(3):119-31. PubMed ID: 18469727
[TBL] [Abstract][Full Text] [Related]
10. A hierarchical approach for online temporal lobe seizure detection in long-term intracranial EEG recordings.
Liang SF; Chen YC; Wang YL; Chen PT; Yang CH; Chiueh H
J Neural Eng; 2013 Aug; 10(4):045004. PubMed ID: 23723141
[TBL] [Abstract][Full Text] [Related]
11. A fuzzy rule-based system for epileptic seizure detection in intracranial EEG.
Aarabi A; Fazel-Rezai R; Aghakhani Y
Clin Neurophysiol; 2009 Sep; 120(9):1648-57. PubMed ID: 19632891
[TBL] [Abstract][Full Text] [Related]
12. Comparison of heart rate variability parameters during complex partial seizures and psychogenic nonepileptic seizures.
Ponnusamy A; Marques JL; Reuber M
Epilepsia; 2012 Aug; 53(8):1314-21. PubMed ID: 22642646
[TBL] [Abstract][Full Text] [Related]
13. Data-driven electrophysiological feature based on deep learning to detect epileptic seizures.
Yamamoto S; Yanagisawa T; Fukuma R; Oshino S; Tani N; Khoo HM; Edakawa K; Kobayashi M; Tanaka M; Fujita Y; Kishima H
J Neural Eng; 2021 Sep; 18(5):. PubMed ID: 34479212
[No Abstract] [Full Text] [Related]
14. Comparing noninvasive dense array and intracranial electroencephalography for localization of seizures.
Holmes MD; Tucker DM; Quiring JM; Hakimian S; Miller JW; Ojemann JG
Neurosurgery; 2010 Feb; 66(2):354-62. PubMed ID: 20087136
[TBL] [Abstract][Full Text] [Related]
15. Epileptic Seizure Prediction by Exploiting Spatiotemporal Relationship of EEG Signals Using Phase Correlation.
Parvez MZ; Paul M
IEEE Trans Neural Syst Rehabil Eng; 2016 Jan; 24(1):158-68. PubMed ID: 26208360
[TBL] [Abstract][Full Text] [Related]
16. Automatic seizure detection: going from sEEG to iEEG.
Henriksen J; Remvig LS; Madsen RE; Conradsen I; Kjaer TW; Thomsen CE; Sorensen HB
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():2431-4. PubMed ID: 21095958
[TBL] [Abstract][Full Text] [Related]
17. An EEG Study on [Formula: see text] Phase-Amplitude Coupling-Based Functional Brain Network in Epilepsy Patients.
Lu J; Li A; Li K; Yu R; Hu Y; Zhang R; Zhang L; Wan H; Chen M
IEEE J Biomed Health Inform; 2024 Jun; 28(6):3446-3456. PubMed ID: 38502614
[TBL] [Abstract][Full Text] [Related]
18. Epileptic seizure detection using cross-bispectrum of electroencephalogram signal.
Mahmoodian N; Boese A; Friebe M; Haddadnia J
Seizure; 2019 Mar; 66():4-11. PubMed ID: 30769009
[TBL] [Abstract][Full Text] [Related]
19. Interictal PET and ictal subtraction SPECT: sensitivity in the detection of seizure foci in patients with medically intractable epilepsy.
Desai A; Bekelis K; Thadani VM; Roberts DW; Jobst BC; Duhaime AC; Gilbert K; Darcey TM; Studholme C; Siegel A
Epilepsia; 2013 Feb; 54(2):341-50. PubMed ID: 23030361
[TBL] [Abstract][Full Text] [Related]
20. Utility of gray-matter segmentation of ictal-Interictal perfusion SPECT and interictal
Elkins KC; Moncayo VM; Kim H; Olson LD
Epilepsy Res; 2017 Feb; 130():93-100. PubMed ID: 28171851
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]