Blind source separation to enhance spectral and non-linear features of magnetoencephalogram recordings. Application to Alzheimer's disease.
暂无分享,去创建一个
Roberto Hornero | Daniel Abásolo | Javier Escudero | Alberto Fernández | J. Escudero | D. Abásolo | R. Hornero | A. Fernández
[1] S M Pincus,et al. Approximate entropy as a measure of system complexity. , 1991, Proceedings of the National Academy of Sciences of the United States of America.
[2] D. Abásolo,et al. Entropy analysis of the EEG background activity in Alzheimer's disease patients , 2006, Physiological measurement.
[3] Roberto Hornero,et al. Nonlinear analysis of electroencephalogram and magnetoencephalogram recordings in patients with Alzheimer's disease , 2009, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[4] Ernst Fernando Lopes Da Silva Niedermeyer,et al. Electroencephalography, basic principles, clinical applications, and related fields , 1982 .
[5] Roberto Hornero,et al. Complexity analysis of the magnetoencephalogram background activity in Alzheimer's disease patients. , 2006, Medical engineering & physics.
[6] A. Cichocki,et al. Techniques for early detection of Alzheimer's disease using spontaneous EEG recordings , 2007, Physiological measurement.
[7] Tarmo Lipping,et al. Comparison of entropy and complexity measures for the assessment of depth of sedation , 2006, IEEE Transactions on Biomedical Engineering.
[8] A. Cichocki,et al. EEG filtering based on blind source separation (BSS) for early detection of Alzheimer's disease , 2005, Clinical Neurophysiology.
[9] Roberto Hornero,et al. Interpretation of the Lempel-Ziv Complexity Measure in the Context of Biomedical Signal Analysis , 2006, IEEE Transactions on Biomedical Engineering.
[10] Abraham Lempel,et al. On the Complexity of Finite Sequences , 1976, IEEE Trans. Inf. Theory.
[11] F Angeleri,et al. EEG spectral analysis in vascular and Alzheimer dementia. , 1995, Electroencephalography and clinical neurophysiology.
[12] Claudio Del Percio,et al. Development and assessment of methods for detecting dementia using the human electroencephalogram , 2006, IEEE Transactions on Biomedical Engineering.
[13] Erkki Oja,et al. Independence: a new criterion for the analysis of the electromagnetic fields in the global brain? , 2000, Neural Networks.
[14] J. Gotman,et al. Isolation of epileptiform discharges from unaveraged EEG by independent component analysis , 1999, Clinical Neurophysiology.
[15] D. Selkoe. Alzheimer's disease. , 2011, Cold Spring Harbor perspectives in biology.
[16] Roberto Hornero,et al. Spectral and Nonlinear Analyses of MEG Background Activity in Patients With Alzheimer's Disease , 2008, IEEE Transactions on Biomedical Engineering.
[17] M. Folstein,et al. Clinical diagnosis of Alzheimer's disease , 1984, Neurology.
[18] Andrzej Cichocki,et al. Early Detection of Alzheimer's Disease by Blind Source Separation, Time Frequency Representation, and Bump Modeling of EEG Signals , 2005, ICANN.
[19] M. Zweig,et al. Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. , 1993, Clinical chemistry.
[20] D. Abásolo,et al. Extraction of spectral based measures from MEG background oscillations in Alzheimer's disease. , 2007, Medical engineering & physics.
[21] Jen-Chuen Hsieh,et al. Blind Source Separation of Concurrent Disease-Related Patterns from EEG in Creutzfeldt–Jakob Disease for Assisting Early Diagnosis , 2007, Annals of Biomedical Engineering.
[22] Andrzej Cichocki,et al. Adaptive Blind Signal and Image Processing - Learning Algorithms and Applications , 2002 .
[23] Roberto Hornero,et al. Assessment of classification improvement in patients with Alzheimer's disease based on magnetoencephalogram blind source separation , 2008, Artif. Intell. Medicine.
[24] Andrzej Cichocki,et al. Early Detection of Alzheimer's Disease by Blind Source Separation and Bump Modeling of EEG Signals. , 2005 .
[25] Lang Tong,et al. Indeterminacy and identifiability of blind identification , 1991 .
[26] C. Stam,et al. Nonlinear dynamical analysis of EEG and MEG: Review of an emerging field , 2005, Clinical Neurophysiology.
[27] K H Ting,et al. Automatic correction of artifact from single-trial event-related potentials by blind source separation using second order statistics only. , 2006, Medical engineering & physics.
[28] S. Folstein,et al. "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. , 1975, Journal of psychiatric research.
[29] Roberto Hornero,et al. Artifact Removal in Magnetoencephalogram Background Activity With Independent Component Analysis , 2007, IEEE Transactions on Biomedical Engineering.
[30] A. J. Bell,et al. INDEPENDENT COMPONENT ANALYSIS OF BIOMEDICAL SIGNALS , 2000 .
[31] Soo Yong Kim,et al. MULTISCALE ENTROPY ANALYSIS OF EEG FROM PATIENTS UNDER DIFFERENT PATHOLOGICAL CONDITIONS , 2007 .
[32] D A Steyn-Ross,et al. Cortical entropy changes with general anaesthesia: theory and experiment. , 2004, Physiological measurement.
[33] Dae-Jin Kim,et al. Nonlinear dynamics of the EEG separated by independent component analysis after sound and light stimulation , 2002, Biological Cybernetics.
[34] J. Richman,et al. Physiological time-series analysis using approximate entropy and sample entropy. , 2000, American journal of physiology. Heart and circulatory physiology.
[35] Jaeseung Jeong. EEG dynamics in patients with Alzheimer's disease , 2004, Clinical Neurophysiology.