127 related articles for article (PubMed ID: 16503184)
1. Complexity analysis of the magnetoencephalogram background activity in Alzheimer's disease patients.
Gómez C; Hornero R; Abásolo D; Fernández A; López M
Med Eng Phys; 2006 Nov; 28(9):851-9. PubMed ID: 16503184
[TBL] [Abstract][Full Text] [Related]
2. Analysis of the magnetoencephalogram background activity in Alzheimer's disease patients with auto-mutual information.
Gómez C; Hornero R; Abásolo D; Fernández A; Escudero J
Comput Methods Programs Biomed; 2007 Sep; 87(3):239-47. PubMed ID: 17686545
[TBL] [Abstract][Full Text] [Related]
3. Blind source separation to enhance spectral and non-linear features of magnetoencephalogram recordings. Application to Alzheimer's disease.
Escudero J; Hornero R; Abásolo D; Fernández A
Med Eng Phys; 2009 Sep; 31(7):872-9. PubMed ID: 19482539
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Assessment of classification improvement in patients with Alzheimer's disease based on magnetoencephalogram blind source separation.
Escudero J; Hornero R; Poza J; Abásolo D; Fernández A
Artif Intell Med; 2008 May; 43(1):75-85. PubMed ID: 18329868
[TBL] [Abstract][Full Text] [Related]
6. Use of the Higuchi's fractal dimension for the analysis of MEG recordings from Alzheimer's disease patients.
Gómez C; Mediavilla A; Hornero R; Abásolo D; Fernández A
Med Eng Phys; 2009 Apr; 31(3):306-13. PubMed ID: 18676171
[TBL] [Abstract][Full Text] [Related]
7. Artifact removal in magnetoencephalogram background activity with independent component analysis.
Escudero J; Hornero R; Abásolo D; Fernández A; López-Coronado M
IEEE Trans Biomed Eng; 2007 Nov; 54(11):1965-73. PubMed ID: 18018691
[TBL] [Abstract][Full Text] [Related]
8. Analysis of MEG background activity in Alzheimer's disease using nonlinear methods and ANFIS.
Gómez C; Hornero R; Abásolo D; Fernández A; Escudero J
Ann Biomed Eng; 2009 Mar; 37(3):586-94. PubMed ID: 19130227
[TBL] [Abstract][Full Text] [Related]
9. Extraction of spectral based measures from MEG background oscillations in Alzheimer's disease.
Poza J; Hornero R; Abásolo D; Fernández A; García M
Med Eng Phys; 2007 Dec; 29(10):1073-83. PubMed ID: 17204443
[TBL] [Abstract][Full Text] [Related]
10. Decreased Lempel-Ziv complexity in Alzheimer's disease patients' magnetoencephalograms.
Gomez C; Hornero R; Abasolo D; Lopez M; Fernandez A
Conf Proc IEEE Eng Med Biol Soc; 2005; 2005():4514-7. PubMed ID: 17281242
[TBL] [Abstract][Full Text] [Related]
11. Nonlinear analysis of electroencephalogram and magnetoencephalogram recordings in patients with Alzheimer's disease.
Hornero R; Abásolo D; Escudero J; Gómez C
Philos Trans A Math Phys Eng Sci; 2009 Jan; 367(1887):317-36. PubMed ID: 18940776
[TBL] [Abstract][Full Text] [Related]
12. Nonlinear analysis of brain magnetoencephalographic activity in Alzheimer disease patients.
Abatzoglou I; Anninos P; Adamopoulos A; Koukourakis M
Acta Neurol Belg; 2007 Jun; 107(2):34-9. PubMed ID: 17710838
[TBL] [Abstract][Full Text] [Related]
13. Magnetoencephalogram blind source separation and component selection procedure to improve the diagnosis of Alzheimer's disease patients.
Escudero J; Hornero R; Abásolo D; Fernández A; Poza J
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():5437-40. PubMed ID: 18003241
[TBL] [Abstract][Full Text] [Related]
14. Evaluation of spectral ratio measures from spontaneous MEG recordings in patients with Alzheimer's disease.
Poza J; Hornero R; Abásolo D; Fernández A; Mayo A
Comput Methods Programs Biomed; 2008 May; 90(2):137-47. PubMed ID: 18249462
[TBL] [Abstract][Full Text] [Related]
15. Nonlinear forecasting measurement of magnetoencephalogram recordings from Alzheimer's disease patients.
Gomez C; Hornero R; Mediavilla A; Fernandez A; Abasolo D
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():2153-6. PubMed ID: 19163123
[TBL] [Abstract][Full Text] [Related]
16. Automated method for identification of patients with Alzheimer's disease based on three-dimensional MR images.
Arimura H; Yoshiura T; Kumazawa S; Tanaka K; Koga H; Mihara F; Honda H; Sakai S; Toyofuku F; Higashida Y
Acad Radiol; 2008 Mar; 15(3):274-84. PubMed ID: 18280925
[TBL] [Abstract][Full Text] [Related]
17. Analysis of electroencephalograms in Alzheimer's disease patients with multiscale entropy.
Escudero J; Abásolo D; Hornero R; Espino P; López M
Physiol Meas; 2006 Nov; 27(11):1091-106. PubMed ID: 17028404
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Complexity analysis of resting-state MEG activity in early-stage Parkinson's disease patients.
Gómez C; Olde Dubbelink KT; Stam CJ; Abásolo D; Berendse HW; Hornero R
Ann Biomed Eng; 2011 Dec; 39(12):2935-44. PubMed ID: 21969108
[TBL] [Abstract][Full Text] [Related]
20. Quantitative EEG in early Alzheimer's disease patients - power spectrum and complexity features.
Czigler B; Csikós D; Hidasi Z; Anna Gaál Z; Csibri E; Kiss E; Salacz P; Molnár M
Int J Psychophysiol; 2008 Apr; 68(1):75-80. PubMed ID: 18093675
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
