EEG-Based Movement Imagery Classification Using Machine Learning Techniques and Welch’s Power Spectral Density Estimation
Keywords:
EEG, Machine Learning, Movement Imagery.Abstract
This project implements an EEG-based movement imagery classification using Welch’s Power Spectral Density estimation which could be used in Brain Computer Interface systems. This classification which is based on the extracted features from
References
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[2] A. P. V. Neethu Robinson, "A Wavelet-CSP Method to Classify Hand Movement Directions in EEG based BCI System," IEEE - ICICS, pp. 978 - 982, 2011.
[3] Athena Akrami, Soroosh Solhjoo, Ali Motie-Nasrabadi, Mohammad-Reza Hashemi-Golpayegani, "EEG-Based Mental Task Classification: Linear and Nonlinear Classification of Movement Imagery," Proceedings of the 2005 IEEE, pp. 4626-4629, 2005.
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[5] Marcel van Gerven, Jason Farquhar, Rebecca Schaefer, Rutger Vlek, Jeroen Geuze, Anton Nijholt, Nick Ramsey, Pim Haselager, Louis Vuurpijl, Stan Gielen and Peter Desain, "The brain–computer interface cycle (TOPICAL REVIEW)," JOURNAL OF NEURAL ENGINEERING, pp. 1741-1751, 2009).
[6] WU Jin, ZHANG Jiacai, YAO Li, "An Automated Detection and Correction Method of EOG Artifacts in EEG-Based BCI," IEEE, pp. 978-982, 2009.
[7] Saman Sarraf, Jian Sun, "ADVANCES IN FUNCTIONAL BRAIN IMAGING: A COMPREHENSIVE SURVEY FOR ENGINEERS AND PHYSICAL SCIENTISTS.," International Journal of Advanced Research, vol. 4, no. 8, pp. 640-660, 2016.
[8] Saman Sarraf, Cristina Saverino, Halleh Ghaderi, John Anderson, "Brain network extraction from probabilistic ICA using functional Magnetic Resonance Images and advanced template matching techniques," in Electrical and Computer Engineering (CCECE), 2014 IEEE 27th Canadian Conference, Toronto, 2014.
[9] Saman Sarraf, Ghassem Tofighi, "Deep Learning-based Pipeline to Recognize Alzheimer's Disease using fMRI Data," in Future Technologies Conference (FTC), 2016.
[10] K. Saladin, Anatomy & Physiology: The Unity of Form and Function, New York: McGraw Hill, 2004.
[11] Dorland, Dorland's Illustrated Medical Dictionary, A Saunders Title, 2007.
[12] Clemens Brunner , Muhammad Naeem, Robert Leeb, Bernhard Graimann, Gert Pfurtscheller, "Spatial filtering and selection of optimized components in four class motor imagery EEG data using independent components analysis," Pattern Recognition Letters 28, p. 957–964, 2007.
[13] R. S. ,. M. R. G. P. Christa Neuper, "Imagery of motor actions: Differential effects of kinesthetic and visual–motor mode of imagery in single-trial EEG," Cognitive Brain Research 25, p. 668 – 677, 2005.
[14] J. D. B. H. Tao Wang, "Classifying EEG-based motor imagery tasks by means of time–frequency synthesized spatial patterns," Clinical Neurophysiology 115, p. 2744–2753, 2004.
[15] Meng Hu, Jiaojie Li, Guang Li, Xiaowei Tang and Qiuping Ding, "Classification of Normal and Hypoxia EEG Based on Approximate Entropy and Welch Power-Spectral-Density," in International Joint Conference on Neural Networks , Vancouver, 2006.
[16] Therrien C. W., Discrete Random Signals ans Statistical Signal Processing, New Jersey: Prentice-Hall, 1992.
[17] Guilherme A. Barreto, Rewbenio A. Frota and Fatima N. S. de Medeiros, "ON THE CLASSIFICATION OF MENTAL TASKS: A PERFORMANCE COMPARISON OF NEURAL AND STATISTICAL APPROACHES," Department of Teleinformatics Engineering, Federal University of Ceara, Ceara, Brazil, 2004.
[18] Valerie Morash , Ou Bai, Stephen Furlani , Peter Lin , Mark Hallet, "Classifying EEG signals preceding right hand, left hand, tongue, and right foot movements and motor imageries," Clinical Neurophysiology 119 , p. 2570–2578, 2008.
[19] T. Lipping, R. Ferenets, P. Puumala, K. Suominen, E. Karvonen, "EEG Independent Component and Coherence Analysis from Scalp and Depth Electrodes During Propofol Anesthesia," in Proceedings of the 25th Annual Intemational Conference of the IEEE EMBS , Cancun, Mexico, 2003.
[20] Ahmad Khodayari-Rostamabad , Gary M. Hasey , Duncan J. MacCrimmon , James P. Reilly, Hubert de Bruin, "A pilot study to determine whether machine learning methodologies using pre-treatment electroencephalography can predict the symptomatic response to clozapine therapy," Clinical Neurophysiology 121, p. 1998–2006, 2010.
[21] BEN H. JANSEN, JOHN R. BOURNE, SENIOR AND JAMES W. WARD, "Autoregressive Estimation of Short Segment Spectra for Computerized EEG Analysis," Biomedical Engineering, IEEE, pp. 630 - 638, 1981.
[22] Saman Sarraf , Cristina Saverino, Ali Mohammad Golestani, "A Robust and Adaptive Decision-Making Algorithm for Detecting Brain Networks Using Functional MRI within the Spatial and Frequency Domain," in The IEEE International Conference on Biomedical and Health Informatics (BHI) , Las Vegas, 2016.
[2] A. P. V. Neethu Robinson, "A Wavelet-CSP Method to Classify Hand Movement Directions in EEG based BCI System," IEEE - ICICS, pp. 978 - 982, 2011.
[3] Athena Akrami, Soroosh Solhjoo, Ali Motie-Nasrabadi, Mohammad-Reza Hashemi-Golpayegani, "EEG-Based Mental Task Classification: Linear and Nonlinear Classification of Movement Imagery," Proceedings of the 2005 IEEE, pp. 4626-4629, 2005.
[4] Ernest Niedermever et al., Fernando Lopes da Silva, Electroencephalography: Basic Principles, Clinical Applications, and Related Fields, Lippincott Williams & Wilkins, 2004.
[5] Marcel van Gerven, Jason Farquhar, Rebecca Schaefer, Rutger Vlek, Jeroen Geuze, Anton Nijholt, Nick Ramsey, Pim Haselager, Louis Vuurpijl, Stan Gielen and Peter Desain, "The brain–computer interface cycle (TOPICAL REVIEW)," JOURNAL OF NEURAL ENGINEERING, pp. 1741-1751, 2009).
[6] WU Jin, ZHANG Jiacai, YAO Li, "An Automated Detection and Correction Method of EOG Artifacts in EEG-Based BCI," IEEE, pp. 978-982, 2009.
[7] Saman Sarraf, Jian Sun, "ADVANCES IN FUNCTIONAL BRAIN IMAGING: A COMPREHENSIVE SURVEY FOR ENGINEERS AND PHYSICAL SCIENTISTS.," International Journal of Advanced Research, vol. 4, no. 8, pp. 640-660, 2016.
[8] Saman Sarraf, Cristina Saverino, Halleh Ghaderi, John Anderson, "Brain network extraction from probabilistic ICA using functional Magnetic Resonance Images and advanced template matching techniques," in Electrical and Computer Engineering (CCECE), 2014 IEEE 27th Canadian Conference, Toronto, 2014.
[9] Saman Sarraf, Ghassem Tofighi, "Deep Learning-based Pipeline to Recognize Alzheimer's Disease using fMRI Data," in Future Technologies Conference (FTC), 2016.
[10] K. Saladin, Anatomy & Physiology: The Unity of Form and Function, New York: McGraw Hill, 2004.
[11] Dorland, Dorland's Illustrated Medical Dictionary, A Saunders Title, 2007.
[12] Clemens Brunner , Muhammad Naeem, Robert Leeb, Bernhard Graimann, Gert Pfurtscheller, "Spatial filtering and selection of optimized components in four class motor imagery EEG data using independent components analysis," Pattern Recognition Letters 28, p. 957–964, 2007.
[13] R. S. ,. M. R. G. P. Christa Neuper, "Imagery of motor actions: Differential effects of kinesthetic and visual–motor mode of imagery in single-trial EEG," Cognitive Brain Research 25, p. 668 – 677, 2005.
[14] J. D. B. H. Tao Wang, "Classifying EEG-based motor imagery tasks by means of time–frequency synthesized spatial patterns," Clinical Neurophysiology 115, p. 2744–2753, 2004.
[15] Meng Hu, Jiaojie Li, Guang Li, Xiaowei Tang and Qiuping Ding, "Classification of Normal and Hypoxia EEG Based on Approximate Entropy and Welch Power-Spectral-Density," in International Joint Conference on Neural Networks , Vancouver, 2006.
[16] Therrien C. W., Discrete Random Signals ans Statistical Signal Processing, New Jersey: Prentice-Hall, 1992.
[17] Guilherme A. Barreto, Rewbenio A. Frota and Fatima N. S. de Medeiros, "ON THE CLASSIFICATION OF MENTAL TASKS: A PERFORMANCE COMPARISON OF NEURAL AND STATISTICAL APPROACHES," Department of Teleinformatics Engineering, Federal University of Ceara, Ceara, Brazil, 2004.
[18] Valerie Morash , Ou Bai, Stephen Furlani , Peter Lin , Mark Hallet, "Classifying EEG signals preceding right hand, left hand, tongue, and right foot movements and motor imageries," Clinical Neurophysiology 119 , p. 2570–2578, 2008.
[19] T. Lipping, R. Ferenets, P. Puumala, K. Suominen, E. Karvonen, "EEG Independent Component and Coherence Analysis from Scalp and Depth Electrodes During Propofol Anesthesia," in Proceedings of the 25th Annual Intemational Conference of the IEEE EMBS , Cancun, Mexico, 2003.
[20] Ahmad Khodayari-Rostamabad , Gary M. Hasey , Duncan J. MacCrimmon , James P. Reilly, Hubert de Bruin, "A pilot study to determine whether machine learning methodologies using pre-treatment electroencephalography can predict the symptomatic response to clozapine therapy," Clinical Neurophysiology 121, p. 1998–2006, 2010.
[21] BEN H. JANSEN, JOHN R. BOURNE, SENIOR AND JAMES W. WARD, "Autoregressive Estimation of Short Segment Spectra for Computerized EEG Analysis," Biomedical Engineering, IEEE, pp. 630 - 638, 1981.
[22] Saman Sarraf , Cristina Saverino, Ali Mohammad Golestani, "A Robust and Adaptive Decision-Making Algorithm for Detecting Brain Networks Using Functional MRI within the Spatial and Frequency Domain," in The IEEE International Conference on Biomedical and Health Informatics (BHI) , Las Vegas, 2016.
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Published
2017-06-29
How to Cite
Sarraf, S. (2017). EEG-Based Movement Imagery Classification Using Machine Learning Techniques and Welch’s Power Spectral Density Estimation. American Scientific Research Journal for Engineering, Technology, and Sciences, 33(1), 124–145. Retrieved from https://asrjetsjournal.org/index.php/American_Scientific_Journal/article/view/3128
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