A hybrid feature selection approach for the early diagnosis of Alzheimer’s disease
暂无分享,去创建一个
Andrzej Cichocki | Justin Dauwels | Jordi Solé-Casals | François-Benoît Vialatte | Esteve Gallego-Jutglà | Mohamed Elgendi | A. Cichocki | M. Elgendi | J. Dauwels | F. Vialatte | Esteve Gallego-Jutglà | Jordi Solé-Casals
[1] J. Bhattacharya,et al. Complexity analysis of spontaneous EEG. , 2000, Acta neurobiologiae experimentalis.
[2] J. Wackermann,et al. Beyond mapping: estimating complexity of multichannel EEG recordings. , 1996, Acta neurobiologiae experimentalis.
[3] R. Gervais,et al. Blind Source Separation and Sparse Bump Modelling of Time Frequency Representation of Eeg Signals: New Tools for Early Detection of Alzheimer's Disease , 2022 .
[4] M. Kaminski,et al. Determination of information flow direction among brain structures by a modified directed transfer function (dDTF) method , 2003, Journal of Neuroscience Methods.
[5] Hualou Liang,et al. Causal influence: advances in neurosignal analysis. , 2005, Critical reviews in biomedical engineering.
[6] Sheng Chen,et al. Orthogonal least squares methods and their application to non-linear system identification , 1989 .
[7] A. Cichocki,et al. EEG filtering based on blind source separation (BSS) for early detection of Alzheimer's disease , 2005, Clinical Neurophysiology.
[8] Andrzej Cichocki,et al. Diagnosis of Alzheimer's disease from EEG by means of synchrony measures in optimized frequency bands , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[9] J. Tukey,et al. An algorithm for the machine calculation of complex Fourier series , 1965 .
[10] David G. Stork,et al. Pattern Classification , 1973 .
[11] Kirk R. Daffner,et al. Early Diagnosis of Alzheimer’s Disease , 2000 .
[12] F. Varela,et al. Measuring phase synchrony in brain signals , 1999, Human brain mapping.
[13] Cornelis J. Stam,et al. Young Alzheimer patients show distinct regional changes of oscillatory brain dynamics , 2012, Neurobiology of Aging.
[14] Steven G. Johnson,et al. FFTW: an adaptive software architecture for the FFT , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).
[15] Andrzej Cichocki,et al. A comparative study of synchrony measures for the early diagnosis of Alzheimer's disease based on EEG , 2010, NeuroImage.
[16] Andrzej Cichocki,et al. Multiway array decomposition analysis of EEGs in Alzheimer's disease , 2012, Journal of Neuroscience Methods.
[17] J. Fermaglich. Electric Fields of the Brain: The Neurophysics of EEG , 1982 .
[18] Gérard Dreyfus,et al. Apprentissage statistique : Réseaux de neurones - Cartes topologiques - Machines à vecteurs supports , 2008 .
[19] Andrzej Cichocki,et al. EEG synchrony analysis for early diagnosis of Alzheimer's disease: A study with several synchrony measures and EEG data sets , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[20] C. Jack,et al. Mild cognitive impairment: ten years later. , 2009, Archives of neurology.
[21] Mark E. Schmidt,et al. The Alzheimer’s Disease Neuroimaging Initiative: A review of papers published since its inception , 2012, Alzheimer's & Dementia.
[22] A. Cichocki,et al. Diagnosis of Alzheimer's disease from EEG signals: where are we standing? , 2010, Current Alzheimer research.
[23] Andrzej Cichocki,et al. Bump time-frequency toolbox: a toolbox for time-frequency oscillatory bursts extraction in electrophysiological signals , 2009, BMC Neuroscience.
[24] A. Cichocki,et al. Techniques for early detection of Alzheimer's disease using spontaneous EEG recordings , 2007, Physiological measurement.
[25] W. Thies,et al. 2013 Alzheimer's disease facts and figures , 2013, Alzheimer's & Dementia.
[26] S. Herukka,et al. [Early diagnosis of Alzheimer's disease]. , 2013, Duodecim; laaketieteellinen aikakauskirja.
[27] Gérard Dreyfus,et al. Ranking a Random Feature for Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[28] Jaeseung Jeong. EEG dynamics in patients with Alzheimer's disease , 2004, Clinical Neurophysiology.
[29] J. Kropotov. Quantitative EEG, Event-Related Potentials and Neurotherapy , 2008 .
[30] Andrzej Cichocki,et al. Improved Sparse Bump Modeling for Electrophysiological Data , 2008, ICONIP.
[31] Dietrich Lehmann,et al. Global, Regional, and Local Measures of Complexity of Multichannel Electroencephalography in Acute, Neuroleptic-Naive, First-Break Schizophrenics , 1998, Biological Psychiatry.
[32] Roberto D. Pascual-Marqui,et al. Instantaneous and lagged measurements of linear and nonlinear dependence between groups of multivariate time series: frequency decomposition , 2007, 0711.1455.
[33] Andrzej Cichocki,et al. Improving the Quality of EEG Data in Patients with Alzheimer's Disease Using ICA , 2009, ICONIP.
[34] Fabrizio De Vico Fallani,et al. Resting state cortical EEG rhythms in Alzheimer's disease: toward EEG markers for clinical applications: a review. , 2013, Supplements to Clinical neurophysiology.
[35] Francesco Rundo,et al. Fronto-parietal coupling of brain rhythms in mild cognitive impairment: A multicentric EEG study , 2006, Brain Research Bulletin.
[36] E. John,et al. Decreased EEG synchronization in Alzheimer’s disease and mild cognitive impairment , 2005, Neurobiology of Aging.
[37] Andrzej Cichocki,et al. Optimization of EEG frequency bands for improved diagnosis of Alzheimer disease , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[38] P. Bamidis,et al. A review of physical and cognitive interventions in aging , 2014, Neuroscience & Biobehavioral Reviews.
[39] Sue Francis,et al. Physiological measurements using ultra-high field fMRI: a review , 2014, Physiological measurement.
[40] Claudio Babiloni,et al. Resting state cortical rhythms in mild cognitive impairment and Alzheimer's disease: electroencephalographic evidence. , 2011, Journal of Alzheimer's disease : JAD.
[41] Andrzej Cichocki,et al. Slowing and Loss of Complexity in Alzheimer's EEG: Two Sides of the Same Coin? , 2011, International journal of Alzheimer's disease.
[42] J Wackermann,et al. Towards a quantitative characterisation of functional states of the brain: from the non-linear methodology to the global linear description. , 1999, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[43] M. Molnár,et al. Quantitative EEG in early Alzheimer's disease patients - power spectrum and complexity features. , 2008, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.