Objective differentiation of neonatal EEG background grades using detrended fluctuation analysis
暂无分享,去创建一个
Sabine Van Huffel | Sampsa Vanhatalo | Vladimir Matic | Gunnar Naulaers | Maarten De Vos | Paul Govaert | Ninah Koolen | Amir H. Ansari | S. Van Huffel | M. de Vos | S. Vanhatalo | P. Cherian | P. Govaert | G. Naulaers | N. Koolen | Perumpillichira Joseph Cherian | V. Matic | A. Ansari
[1] Sabine Van Huffel,et al. Automated EEG inter-burst interval detection in neonates with mild to moderate postasphyxial encephalopathy , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[2] Sampsa Vanhatalo,et al. Sleep wake cycling in early preterm infants: Comparison of polysomnographic recordings with a novel EEG-based index , 2013, Clinical Neurophysiology.
[3] A. Flisberg,et al. Automatic classification of background EEG activity in healthy and sick neonates , 2010, Journal of neural engineering.
[4] Vadim V. Nikulin,et al. Detrended Fluctuation Analysis: A Scale-Free View on Neuronal Oscillations , 2012, Front. Physio..
[5] K. Linkenkaer-Hansen,et al. Long-Range Temporal Correlations and Scaling Behavior in Human Brain Oscillations , 2001, The Journal of Neuroscience.
[6] M. De Vos,et al. Automated artifact removal as preprocessing refines neonatal seizure detection , 2011, Clinical Neurophysiology.
[7] H. Stanley,et al. Effect of trends on detrended fluctuation analysis. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.
[8] Milos Judas,et al. The development of the subplate and thalamocortical connections in the human foetal brain , 2010, Acta paediatrica.
[9] Jordan L. Boyd-Graber,et al. Maximum Likelihood , 2006 .
[10] S. Huffel,et al. Automated neonatal seizure detection mimicking a human observer reading EEG , 2008, Clinical Neurophysiology.
[11] Anton Tokariev,et al. Phase synchrony in the early preterm EEG: Development of methods for estimating synchrony in both oscillations and events , 2012, NeuroImage.
[12] Michael Breakspear,et al. Scale-Free Bursting in Human Cortex following Hypoxia at Birth , 2014, The Journal of Neuroscience.
[13] Sabine Van Huffel,et al. Holistic approach for automated background EEG assessment in asphyxiated full-term infants. , 2014, Journal of neural engineering.
[14] Sampsa Vanhatalo,et al. Early development of spatial patterns of power-law frequency scaling in FMRI resting-state and EEG data in the newborn brain. , 2013, Cerebral cortex.
[15] C. Peng,et al. Mosaic organization of DNA nucleotides. , 1994, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[16] B. O'Flaherty,et al. An international survey of EEG use in the neonatal intensive care unit , 2010, Acta paediatrica.
[17] Sampsa Vanhatalo,et al. Dynamic Eye Tracking Based Metrics for Infant Gaze Patterns in the Face-Distractor Competition Paradigm , 2014, PloS one.
[18] G. B. Boylan,et al. The use of conventional EEG for the assessment of hypoxic ischaemic encephalopathy in the newborn: A review , 2011, Clinical Neurophysiology.
[19] E. Bacry,et al. Multifractal formalism for fractal signals: The structure-function approach versus the wavelet-transform modulus-maxima method. , 1993, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[20] B. Bourgeois,et al. Prognostic value of neonatal discontinuous EEG. , 2002, Pediatric neurology.
[21] J. Palva,et al. Epileptogenic neocortical networks are revealed by abnormal temporal dynamics in seizure-free subdural EEG. , 2007, Cerebral cortex.
[22] N. J. Stevenson,et al. Quantitative EEG analysis in neonatal hypoxic ischaemic encephalopathy , 2011, Clinical Neurophysiology.
[23] Sampsa Vanhatalo,et al. Functional bimodality in the brain networks of preterm and term human newborns. , 2014, Cerebral cortex.
[24] James R. Wilson,et al. Multifractal detrended fluctuation analysis: Practical applications to financial time series , 2016, Math. Comput. Simul..
[25] Mark E. J. Newman,et al. Power-Law Distributions in Empirical Data , 2007, SIAM Rev..
[26] B. Litt,et al. Long-range temporal correlations in epileptogenic and non-epileptogenic human hippocampus , 2004, Neuroscience.
[27] L. D. de Vries,et al. Role of cerebral function monitoring in the newborn , 2005, Archives of Disease in Childhood - Fetal and Neonatal Edition.
[28] H. Stanley,et al. Multifractal Detrended Fluctuation Analysis of Nonstationary Time Series , 2002, physics/0202070.
[29] G. Lightbody,et al. An Automated System for Grading EEG Abnormality in Term Neonates with Hypoxic-Ischaemic Encephalopathy , 2012, Annals of Biomedical Engineering.
[30] S. Vanhatalo,et al. Measuring brain activity cycling (BAC) in long term EEG monitoring of preterm babies. , 2014, Physiological measurement.
[31] Sabine Van Huffel,et al. Comparison of ICA algorithms for ECG artifact removal from EEG signals , 2009 .
[32] M. De Vos,et al. Validation of a new automated neonatal seizure detection system: A clinician’s perspective , 2011, Clinical Neurophysiology.
[33] Luc Berthouze,et al. A maximum likelihood based technique for validating detrended fluctuation analysis (ML-DFA) , 2013, 1306.5075.
[34] J. Palva,et al. Infraslow oscillations modulate excitability and interictal epileptic activity in the human cortex during sleep. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[35] S. Rombouts,et al. Disturbed fluctuations of resting state EEG synchronization in Alzheimer's disease , 2005, Clinical Neurophysiology.
[36] Espen A. F. Ihlen,et al. Introduction to Multifractal Detrended Fluctuation Analysis in Matlab , 2012, Front. Physio..
[37] John M. Beggs,et al. Neuronal Avalanches in Neocortical Circuits , 2003, The Journal of Neuroscience.
[38] Sampsa Vanhatalo,et al. Detection of ‘EEG bursts’ in the early preterm EEG: Visual vs. automated detection , 2010, Clinical Neurophysiology.
[39] K. Kaila,et al. Development of neonatal EEG activity: from phenomenology to physiology. , 2006, Seminars in fetal & neonatal medicine.
[40] Ingmar Rosén,et al. Continuous brain-function monitoring: state of the art in clinical practice. , 2006, Seminars in fetal & neonatal medicine.
[41] Michael Breakspear,et al. Novel features of early burst suppression predict outcome after birth asphyxia , 2014, Annals of clinical and translational neurology.
[42] Okko Johannes Räsänen,et al. Development of a novel robust measure for interhemispheric synchrony in the neonatal EEG: Activation Synchrony Index (ASI) , 2013, NeuroImage.
[43] Akihisa Okumura,et al. Neonatal EEG: a powerful tool in the assessment of brain damage in preterm infants , 1999, Brain and Development.
[44] Todd Zorick,et al. Multifractal Detrended Fluctuation Analysis of Human EEG: Preliminary Investigation and Comparison with the Wavelet Transform Modulus Maxima Technique , 2013, PloS one.
[45] Luc Berthouze,et al. Human EEG shows long-range temporal correlations of oscillation amplitude in Theta, Alpha and Beta bands across a wide age range , 2010, Clinical Neurophysiology.
[46] J. Palva,et al. Phase Synchrony among Neuronal Oscillations in the Human Cortex , 2005, The Journal of Neuroscience.
[47] E. Walls-Esquivel,et al. Electroencephalography in premature and full-term infants. Developmental features and glossary , 2010, Neurophysiologie Clinique/Clinical Neurophysiology.
[48] Luc Berthouze,et al. Adaptive time-varying detrended fluctuation analysis , 2012, Journal of Neuroscience Methods.
[49] Jianbo Gao,et al. Multiplicative multifractal modeling and discrimination of human neuronal activity [rapid communication] , 2005 .
[50] Neil Marlow,et al. Long-Range Temporal Correlations in the EEG Bursts of Human Preterm Babies , 2012, PloS one.
[51] Sean Connolly,et al. Early EEG Findings in Hypoxic-Ischemic Encephalopathy Predict Outcomes at 2 Years , 2009, Pediatrics.
[52] A Värri,et al. Automatic identification of significant graphoelements in multichannel EEG recordings by adaptive segmentation and fuzzy clustering. , 1991, International journal of bio-medical computing.
[53] N Monod,et al. The neonatal EEG: statistical studies and prognostic value in full-term and pre-term babies. , 1972, Electroencephalography and clinical neurophysiology.
[54] K Lindecrantz,et al. Prognostic capacity of automated quantification of suppression time in the EEG of post‐asphyctic full‐term neonates , 2011, Acta paediatrica.