Comparison of Smoothing Filters in Analysis of EEG Data for the Medical Diagnostics Purposes
暂无分享,去创建一个
Radek Martinek | Michal Podpora | Monika Blaszczyszyn | Aleksandra Kawala-Sterniuk | Mariusz Pelc | Edward Jacek Gorzelanczyk | Stepan Ozana | R. Martínek | Aleksandra Kawala-Sterniuk | Mariusz Pelc | E. Gorzelańczyk | S. Ozana | M. Błaszczyszyn | M. Podpora
[1] Bruna Velasques,et al. Functional coupling of sensorimotor and associative areas during a catching ball task: a qEEG coherence study , 2012, International archives of medicine.
[2] Jerzy Baranowski,et al. Early-Stage Pilot Study on Using Fractional-Order Calculus-Based Filtering for the Purpose of Analysis of Electroencephalography Signals , 2016 .
[3] I. Podlubny. Fractional differential equations : an introduction to fractional derivatives, fractional differential equations, to methods of their solution and some of their applications , 1999 .
[4] Grzegorz M. Wójcik,et al. Mapping the Human Brain in Frequency Band Analysis of Brain Cortex Electroencephalographic Activity for Selected Psychiatric Disorders , 2018, Front. Neuroinform..
[5] James Mountstephens,et al. Preference Classification Using Electroencephalography (EEG) and Deep Learning , 2018 .
[6] Patrycja Puzdrowska,et al. Signal filtering method of the fast-varying diesel exhaust gas temperature , 2018, Combustion Engines.
[7] J. G. Liu,et al. Smoothing Filter-based Intensity Modulation : a spectral preserve image fusion technique for improving spatial details , 2001 .
[8] Jerzy Baranowski,et al. On Digital Realizations of Non-integer Order Filters , 2016, Circuits Syst. Signal Process..
[9] Febo Cincotti,et al. Human Movement-Related Potentials vs Desynchronization of EEG Alpha Rhythm: A High-Resolution EEG Study , 1999, NeuroImage.
[10] D. Tucker,et al. Spatial sampling and filtering of EEG with spline Laplacians to estimate cortical potentials , 2005, Brain Topography.
[11] A Harsha,et al. Study on wavelet spectral band based EEG compression , 2016, 2016 International Conference on Data Science and Engineering (ICDSE).
[12] Grzegorz M. Wójcik,et al. New Protocol for Quantitative Analysis of Brain Cortex Electroencephalographic Activity in Patients With Psychiatric Disorders , 2018, Front. Neuroinform..
[13] José Higino Correia,et al. Feature Selection for Brain-Computer Interface , 2009 .
[14] Dmitry Kirsanov,et al. Signal Smoothing with PLS Regression. , 2018, Analytical chemistry.
[15] Marcin Kolodziej,et al. Processing and Analysis of EEG Signal for SSVEP Detection , 2017 .
[16] T. J. La Vaque,et al. The History of EEG Hans Berger: Psychophysiologist. A Historical Vignette , 1999 .
[17] Aleksandra Kawala-Sterniuk,et al. Implementation of Smoothing Filtering Methods for the Purpose of Improvement Inverted Pendulum’s Trajectory , 2020 .
[18] Waldemar Bauer,et al. Non-integer Order Filtration of Electromyographic Signals , 2014, RRNR.
[19] K. B. Oldham,et al. The Fractional Calculus: Theory and Applications of Differentiation and Integration to Arbitrary Order , 1974 .
[20] Fathalla A. Rihan,et al. MATHEMATICAL MODELING OF TUMOR CELL GROWTH AND IMMUNE SYSTEM INTERACTIONS , 2012 .
[21] Luciano Boquete,et al. Induced gamma band activity from EEG as a possible index of training-related brain plasticity in motor tasks , 2017, PloS one.
[22] Youcef Ferdi,et al. SOME APPLICATIONS OF FRACTIONAL ORDER CALCULUS TO DESIGN DIGITAL FILTERS FOR BIOMEDICAL SIGNAL PROCESSING , 2012 .
[23] Leilei Zheng,et al. Inter-and intra-hemispheric EEG coherence in patients with mild cognitive impairment at rest and during working memory task , 2006, Journal of Zhejiang University SCIENCE B.
[24] V. Ives-Deliperi,et al. Relationship Between EEG Electrode and Functional Cortex in the International 10 to 20 System , 2018, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.
[25] Vijander Singh,et al. EEG signal enhancement using cascaded S-Golay filter , 2017, Biomed. Signal Process. Control..
[26] Mariusz Pelc,et al. Innovative approach in analysis of EEG and EMG signals — Comparision of the two novel methods , 2014, 2014 19th International Conference on Methods and Models in Automation and Robotics (MMAR).
[27] A. Harsha,et al. Analysis of fractional tools on EEG compression , 2016, 2016 International Conference on Communication and Electronics Systems (ICCES).
[28] Masoud Taghizadeh,et al. Predicting the moisture content and textural characteristics of roasted pistachio kernels using Vis/NIR reflectance spectroscopy and PLSR analysis , 2018, Journal of Food Measurement and Characterization.
[29] Jerzy Baranowski,et al. Fractional Band-Pass Filters: Design, Implementation and Application to EEG Signal Processing , 2017, J. Circuits Syst. Comput..
[30] Martin Spüler,et al. On the design of EEG-based movement decoders for completely paralyzed stroke patients , 2018, Journal of NeuroEngineering and Rehabilitation.
[31] Richard John Anthony. A Policy-Definition Language and Prototype Implementation Library for Policy-based Autonomic Systems , 2006, 2006 IEEE International Conference on Autonomic Computing.
[32] Meryem A Yücel,et al. Motion artifact detection and correction in functional near-infrared spectroscopy: a new hybrid method based on spline interpolation method and Savitzky–Golay filtering , 2018, Neurophotonics.
[33] Kota Chandra Bhushana Rao,et al. Comparative analysis of integer and non-integer order Savitzky-Golay digital filters , 2017, 2017 Third Asian Conference on Defence Technology (ACDT).
[34] C. Koch,et al. Consciousness and neuroscience. , 1998, Cerebral cortex.
[35] Radek Martinek,et al. Implementation of Non-Integer Order Filtering for the Purpose of Disparities Detection in Beta Frequencies - A Pilot Study , 2018, 2018 23rd International Conference on Methods & Models in Automation & Robotics (MMAR).
[36] F. L. D. Silva,et al. EEG signal processing , 2000, Clinical Neurophysiology.
[37] Stepan Ozana,et al. Implementation of Smoothing Filtering Methods for the Purpose of Trajectory Improvement of Single and Triple Inverted Pendulums , 2019 .
[38] J. Astola,et al. Fundamentals of Nonlinear Digital Filtering , 1997 .
[39] N. Birbaumer,et al. BCI2000: a general-purpose brain-computer interface (BCI) system , 2004, IEEE Transactions on Biomedical Engineering.
[40] Grzegorz M. Wójcik,et al. Most Popular Signal Processing Methods in Motor-Imagery BCI: A Review and Meta-Analysis , 2018, Front. Neuroinform..
[41] Sung Chan Jun,et al. EEG datasets for motor imagery brain–computer interface , 2017, GigaScience.
[42] Stepan Ozana,et al. Modeling and Simulations in Control Software Design , 2018, Analytic Methods in Systems and Software Testing.
[43] Agnieszka Szczęsna,et al. Quantitative analysis of arm movement smoothness , 2017 .
[44] Steven J Luck,et al. High Temporal Resolution Measurement of Cognitive and Affective Processes in Psychopathology: What Electroencephalography and Magnetoencephalography Can Tell Us About Mental Illness. , 2018, Biological psychiatry. Cognitive neuroscience and neuroimaging.
[45] Tomasz Pander,et al. EEG signal improvement with cascaded filter based on OWA operator , 2019, Signal Image Video Process..
[46] E. Gorzelańczyk,et al. Functional Anatomy, Physiology and Clinical Aspects of Basal Ganglia , 2011 .
[47] Waldemar Bauer,et al. Implementation of Low-Pass Fractional Filtering for the Purpose of Analysis of Electroencephalographic Signals , 2017, RRNR.
[48] Mariusz Pelc. Context-aware Fuzzy Control Systems , 2014, Int. J. Softw. Eng. Knowl. Eng..
[49] G. A. Einicke,et al. Smoothing, Filtering and Prediction - Estimating The Past, Present and Future , 2012 .
[50] J. Sepulcre,et al. Measuring Cortical Connectivity in Alzheimer’s Disease as a Brain Neural Network Pathology: Toward Clinical Applications , 2016, Journal of the International Neuropsychological Society.
[51] Grzegorz M. Wojcik,et al. The Station for Neurofeedback Phenomenon Research , 2017 .
[52] Youcef Ferdi,et al. Fractional order calculus-based filters for biomedical signal processing , 2011, 2011 1st Middle East Conference on Biomedical Engineering.
[53] Marcin Kolodziej,et al. BRAIN-COMPUTER INTERFACE AS MEASUREMENT AND CONTROL SYSTEM THE REVIEW PAPER , 2012 .
[54] David S. Cantor,et al. An Overview of Quantitative EEG and Its Applications to Neurofeedback , 1999 .
[55] Murat Kaya,et al. A large electroencephalographic motor imagery dataset for electroencephalographic brain computer interfaces , 2018, Scientific Data.
[56] Piotr Bania,et al. Laguerre Polynomial Approximation of Fractional Order Linear Systems , 2013, RRNR.
[57] Valer Jurcak,et al. 10/20, 10/10, and 10/5 systems revisited: Their validity as relative head-surface-based positioning systems , 2007, NeuroImage.
[58] Waldemar Bauer,et al. Implementation of Non-Integer Smoothing Filtering in Analysis of Polysomnography Data , 2018, 2018 Progress in Applied Electrical Engineering (PAEE).
[59] Mariusz Pelc,et al. Method for EEG signals pattern recognition in embedded systems , 2015 .
[60] Keum-Shik Hong,et al. Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces , 2018, Front. Hum. Neurosci..
[61] Grzegorz M. Wojcik,et al. Steady State Visually Evoked Potentials and Their Analysis with Graphical and Acoustic Transformation , 2017 .