Muscle artifacts in single trial EEG data distinguish patients with Parkinson's disease from healthy individuals
暂无分享,去创建一个
Terrence J. Sejnowski | Howard Poizner | Claudia Lainscsek | Jonathan Weyhenmeyer | Manuel E. Hernandez | T. Sejnowski | H. Poizner | C. Lainscsek | M. Hernandez | J. Weyhenmeyer
[1] Thomas M. Cover,et al. Geometrical and Statistical Properties of Systems of Linear Inequalities with Applications in Pattern Recognition , 1965, IEEE Trans. Electron. Comput..
[2] Ron Kohavi,et al. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection , 1995, IJCAI.
[3] T. Sejnowski,et al. Removing electroencephalographic artifacts by blind source separation. , 2000, Psychophysiology.
[4] E. Růžička,et al. Investigation of non-linear properties of multichannel EEG in the early stages of Parkinson's disease , 2001, Clinical Neurophysiology.
[5] N. Birbaumer,et al. Investigation of brain dynamics in Parkinson's disease by methods derived from nonlinear dynamics , 2001, Experimental Brain Research.
[6] William H. Press,et al. Numerical recipes in C , 2002 .
[7] H. Braak,et al. Staging of brain pathology related to sporadic Parkinson’s disease , 2003, Neurobiology of Aging.
[8] J. Obeso,et al. Challenges in Parkinson's disease: restoration of the nigrostriatal dopamine system is not enough , 2004, The Lancet Neurology.
[9] Arnaud Delorme,et al. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis , 2004, Journal of Neuroscience Methods.
[10] A. S. Rodionov,et al. Comparison of linear, nonlinear and feature selection methods for EEG signal classification , 2004, International Conference on Actual Problems of Electron Devices Engineering, 2004. APEDE 2004..
[11] Klaus Lehnertz,et al. Epilepsy and Nonlinear Dynamics , 2008, Journal of biological physics.
[12] J. Jankovic. Parkinson’s disease: clinical features and diagnosis , 2008, Journal of Neurology, Neurosurgery, and Psychiatry.
[13] T. Sejnowski,et al. Non-Linear Dynamical Analysis of EEG Time Series Distinguishes Patients with Parkinson’s Disease from Healthy Individuals , 2013, Front. Neurol..
[14] S. Hillyard,et al. Parkinson’s disease patients show impaired corrective grasp control and eye–hand coupling when reaching to grasp virtual objects , 2013, Neuroscience.
[15] T. Sejnowski,et al. Electrocardiogram classification using delay differential equations. , 2013, Chaos.
[16] E. Katunina,et al. [Epidemiology of Parkinson's disease]. , 2013, Zhurnal nevrologii i psikhiatrii imeni S.S. Korsakova.
[17] Terrence J. Sejnowski,et al. Non-Linear Dynamical Classification of Short Time Series of the Rössler System in High Noise Regimes , 2013, Front. Neurol..
[18] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .