Near-Lossless Multichannel EEG Compression Based on Matrix and Tensor Decompositions
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M. Ramasubba Reddy | Andrzej Cichocki | Justin Dauwels | K. Srinivasan | A. Cichocki | K. Srinivasan | M. Reddy | J. Dauwels
[1] Anamitra Makur,et al. A High Performance Scheme for EEG Compression Using a Multichannel Model , 2002, HiPC.
[2] Klaus-Robert Müller,et al. Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms , 2004, IEEE Transactions on Biomedical Engineering.
[3] Esther Rodriguez-Villegas,et al. Wearable Electroencephalography , 2010, IEEE Engineering in Medicine and Biology Magazine.
[4] Benjamin H. Brinkmann,et al. Large-scale electrophysiology: Acquisition, compression, encryption, and storage of big data , 2009, Journal of Neuroscience Methods.
[5] C. Eswaran,et al. Performance Evaluation of Neural Network and Linear Predictors for Near-Lossless Compression of EEG Signals , 2008, IEEE Transactions on Information Technology in Biomedicine.
[6] A. Cichocki,et al. Generalizing the column–row matrix decomposition to multi-way arrays , 2010 .
[7] M. Ramasubba Reddy,et al. Multichannel EEG Compression: Wavelet-Based Image and Volumetric Coding Approach , 2013, IEEE Journal of Biomedical and Health Informatics.
[8] M. Ramasubba Reddy,et al. Multi-channel EEG compression based on matrix and tensor decompositions , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[9] P. Tonella,et al. EEG data compression techniques , 1997, IEEE Transactions on Biomedical Engineering.
[10] Klaus-Robert Müller,et al. The non-invasive Berlin Brain–Computer Interface: Fast acquisition of effective performance in untrained subjects , 2007, NeuroImage.
[11] Mingui Sun,et al. Decorrelation of multichannel EEG based on Hjorth filter and graph theory , 2002, 6th International Conference on Signal Processing, 2002..
[12] M. Ramasubba Reddy,et al. A two-dimensional approach for lossless EEG compression , 2011, Biomed. Signal Process. Control..
[13] Tamara G. Kolda,et al. Tensor Decompositions and Applications , 2009, SIAM Rev..
[14] Jeffrey M. Hausdorff,et al. Physionet: Components of a New Research Resource for Complex Physiologic Signals". Circu-lation Vol , 2000 .
[15] C. Eswaran,et al. An Adaptive Error Modeling Scheme for the Lossless Compression of EEG Signals , 2008, IEEE Transactions on Information Technology in Biomedicine.
[16] Soontorn Oraintara,et al. Lossless multi-channel EEG compression , 2006, 2006 IEEE International Symposium on Circuits and Systems.
[17] Nasir D. Memon,et al. Context-based lossless and near-lossless compression of EEG signals , 1999, IEEE Transactions on Information Technology in Biomedicine.
[18] S.D. Baker,et al. Medical-Grade, Mission-Critical Wireless Networks [Designing an Enterprise Mobility Solution in the Healthcare Environment] , 2008, IEEE Engineering in Medicine and Biology Magazine.
[19] Petros Drineas,et al. CUR matrix decompositions for improved data analysis , 2009, Proceedings of the National Academy of Sciences.
[20] Andrzej Cichocki,et al. Nonnegative Matrix and Tensor Factorization T , 2007 .
[21] J. Gotman,et al. Long-term EEG compression for intensive-care settings. , 2001, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.
[22] Amir Said. On the Reduction of Entropy Coding Complexity via Symbol Grouping: I - Redundancy Analysis and Optimal Alphabet Partition , 2004 .
[23] K. Srinivasan,et al. Efficient preprocessing technique for real-time lossless EEG compression , 2010 .