A Methodical Healthcare Model to Eliminate Motion Artifacts from Big EEG Data

[1]  Siti Anom Ahmad,et al.  Selection of Mother Wavelet Functions for Multi-Channel EEG Signal Analysis during a Working Memory Task , 2015, Sensors.

[2]  Bashir I. Morshed,et al.  Comparative analysis of wavelet based approaches for reliable removal of ocular artifacts from single channel EEG , 2015, 2015 IEEE International Conference on Electro/Information Technology (EIT).

[3]  P. Senthil Kumar,et al.  Removal of Ocular Artifacts in the EEG through Wavelet Transform without using an EOG Reference Channel , 2008 .

[4]  Ángel Navia-Vázquez,et al.  Automatic removal of ocular artefacts using adaptive filtering and independent component analysis for electroencephalogram data , 2012, IET Signal Process..

[5]  Vladimir Stantchev,et al.  Leveraging big-data for business process analytics , 2015 .

[6]  Amir Rastegarnia,et al.  Artifact characterization and removal for in vivo neural recording , 2014, Journal of Neuroscience Methods.

[7]  Tomás Ward,et al.  Artifact Removal in Physiological Signals—Practices and Possibilities , 2012, IEEE Transactions on Information Technology in Biomedicine.

[8]  Norden E. Huang,et al.  Ensemble Empirical Mode Decomposition: a Noise-Assisted Data Analysis Method , 2009, Adv. Data Sci. Adapt. Anal..

[9]  Georgios D. Mitsis,et al.  Detection and Removal of Muscle Artifacts from Scalp EEG Recordings in Patients with Epilepsy , 2014, 2014 IEEE International Conference on Bioinformatics and Bioengineering.

[10]  Xun Chen,et al.  Removal of Muscle Artifacts from Single-Channel EEG Based on Ensemble Empirical Mode Decomposition and Multiset Canonical Correlation Analysis , 2014, J. Appl. Math..

[11]  Seán F. McLoone,et al.  The Use of Ensemble Empirical Mode Decomposition With Canonical Correlation Analysis as a Novel Artifact Removal Technique , 2013, IEEE Transactions on Biomedical Engineering.

[12]  Qiang Wang,et al.  Accent extraction of emotional speech based on modified ensemble empirical mode decomposition , 2010, 2010 IEEE Instrumentation & Measurement Technology Conference Proceedings.

[13]  F.C. Morabito,et al.  Neural-ICA and wavelet transform for artifacts removal in surface EMG , 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

[14]  Sabine Van Huffel,et al.  Source Separation From Single-Channel Recordings by Combining Empirical-Mode Decomposition and Independent Component Analysis , 2010, IEEE Transactions on Biomedical Engineering.

[15]  Sanjeev Arora,et al.  Provable ICA with Unknown Gaussian Noise, and Implications for Gaussian Mixtures and Autoencoders , 2012, Algorithmica.

[16]  Qi Zhong,et al.  An Enhanced Differential Evolution Based Algorithm with Simulated Annealing for Solving Multiobjective Optimization Problems , 2014, J. Appl. Math..

[17]  Hans Knutsson,et al.  Exploratory fMRI Analysis by Autocorrelation Maximization , 2002, NeuroImage.

[18]  Jake Luo,et al.  Big Data Application in Biomedical Research and Health Care: A Literature Review , 2016, Biomedical informatics insights.