588 related articles for article (PubMed ID: 17156848)
1. Application and comparison of classification algorithms for recognition of Alzheimer's disease in electrical brain activity (EEG).
Lehmann C; Koenig T; Jelic V; Prichep L; John RE; Wahlund LO; Dodge Y; Dierks T
J Neurosci Methods; 2007 Apr; 161(2):342-50. PubMed ID: 17156848
[TBL] [Abstract][Full Text] [Related]
2. Analysis of EEG background activity in Alzheimer's disease patients with Lempel-Ziv complexity and central tendency measure.
Abásolo D; Hornero R; Gómez C; García M; López M
Med Eng Phys; 2006 May; 28(4):315-22. PubMed ID: 16122963
[TBL] [Abstract][Full Text] [Related]
3. Techniques for early detection of Alzheimer's disease using spontaneous EEG recordings.
Woon WL; Cichocki A; Vialatte F; Musha T
Physiol Meas; 2007 Apr; 28(4):335-47. PubMed ID: 17395990
[TBL] [Abstract][Full Text] [Related]
4. Entropy analysis of the EEG background activity in Alzheimer's disease patients.
Abásolo D; Hornero R; Espino P; Alvarez D; Poza J
Physiol Meas; 2006 Mar; 27(3):241-53. PubMed ID: 16462011
[TBL] [Abstract][Full Text] [Related]
5. A study on the possible usefulness of detrended fluctuation analysis of the electroencephalogram background activity in Alzheimer's disease.
Abásolo D; Hornero R; Escudero J; Espino P
IEEE Trans Biomed Eng; 2008 Sep; 55(9):2171-9. PubMed ID: 18713686
[TBL] [Abstract][Full Text] [Related]
6. Automatic classification of athletes with residual functional deficits following concussion by means of EEG signal using support vector machine.
Cao C; Tutwiler RL; Slobounov S
IEEE Trans Neural Syst Rehabil Eng; 2008 Aug; 16(4):327-35. PubMed ID: 18701381
[TBL] [Abstract][Full Text] [Related]
7. EEG filtering based on blind source separation (BSS) for early detection of Alzheimer's disease.
Cichocki A; Shishkin SL; Musha T; Leonowicz Z; Asada T; Kurachi T
Clin Neurophysiol; 2005 Mar; 116(3):729-37. PubMed ID: 15721088
[TBL] [Abstract][Full Text] [Related]
8. Automatic detection of epileptiform events in EEG by a three-stage procedure based on artificial neural networks.
Acir N; Oztura I; Kuntalp M; Baklan B; Güzeliş C
IEEE Trans Biomed Eng; 2005 Jan; 52(1):30-40. PubMed ID: 15651562
[TBL] [Abstract][Full Text] [Related]
9. Support vector machines and other pattern recognition approaches to the diagnosis of cerebral palsy gait.
Kamruzzaman J; Begg RK
IEEE Trans Biomed Eng; 2006 Dec; 53(12 Pt 1):2479-90. PubMed ID: 17153205
[TBL] [Abstract][Full Text] [Related]
10. Classification of single trial motor imagery EEG recordings with subject adapted non-dyadic arbitrary time-frequency tilings.
Ince NF; Arica S; Tewfik A
J Neural Eng; 2006 Sep; 3(3):235-44. PubMed ID: 16921207
[TBL] [Abstract][Full Text] [Related]
11. Classification of electrocardiogram signals with support vector machines and particle swarm optimization.
Melgani F; Bazi Y
IEEE Trans Inf Technol Biomed; 2008 Sep; 12(5):667-77. PubMed ID: 18779082
[TBL] [Abstract][Full Text] [Related]
12. Support vector machines for seizure detection in an animal model of chronic epilepsy.
Nandan M; Talathi SS; Myers S; Ditto WL; Khargonekar PP; Carney PR
J Neural Eng; 2010 Jun; 7(3):036001. PubMed ID: 20404397
[TBL] [Abstract][Full Text] [Related]
13. Principal component analysis-enhanced cosine radial basis function neural network for robust epilepsy and seizure detection.
Ghosh-Dastidar S; Adeli H; Dadmehr N
IEEE Trans Biomed Eng; 2008 Feb; 55(2 Pt 1):512-8. PubMed ID: 18269986
[TBL] [Abstract][Full Text] [Related]
14. Development and assessment of methods for detecting dementia using the human electroencephalogram.
Henderson G; Ifeachor E; Hudson N; Goh C; Outram N; Wimalaratna S; Del Percio C; Vecchio F
IEEE Trans Biomed Eng; 2006 Aug; 53(8):1557-68. PubMed ID: 16916090
[TBL] [Abstract][Full Text] [Related]
15. MRI-based automated computer classification of probable AD versus normal controls.
Duchesne S; Caroli A; Geroldi C; Barillot C; Frisoni GB; Collins DL
IEEE Trans Med Imaging; 2008 Apr; 27(4):509-20. PubMed ID: 18390347
[TBL] [Abstract][Full Text] [Related]
16. Epileptic EEG detection using neural networks and post-classification.
Patnaik LM; Manyam OK
Comput Methods Programs Biomed; 2008 Aug; 91(2):100-9. PubMed ID: 18406490
[TBL] [Abstract][Full Text] [Related]
17. Entropies for detection of epilepsy in EEG.
Kannathal N; Choo ML; Acharya UR; Sadasivan PK
Comput Methods Programs Biomed; 2005 Dec; 80(3):187-94. PubMed ID: 16219385
[TBL] [Abstract][Full Text] [Related]
18. Single-trial lambda wave identification using a fuzzy inference system and predictive statistical diagnosis.
Saatchi R
J Neural Eng; 2004 Mar; 1(1):21-31. PubMed ID: 15876619
[TBL] [Abstract][Full Text] [Related]
19. Mixed-band wavelet-chaos-neural network methodology for epilepsy and epileptic seizure detection.
Ghosh-Dastidar S; Adeli H; Dadmehr N
IEEE Trans Biomed Eng; 2007 Sep; 54(9):1545-51. PubMed ID: 17867346
[TBL] [Abstract][Full Text] [Related]
20. Different classification techniques considering brain computer interface applications.
Rezaei S; Tavakolian K; Nasrabadi AM; Setarehdan SK
J Neural Eng; 2006 Jun; 3(2):139-44. PubMed ID: 16705270
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
