Data compression methods for EEG.

Modem brain research experiments require the recording of large amounts of high-accuracy EEG data. Sampling frequency, bit resolution and number of channels are significantly larger than in routine clinical measurements. Because of this, the need of efficient signal compression has emerged. This paper presents a survey of available methods and explores some techniques, both lossy and lossless, for compressing EEG signals.

[1]  R. Ilmoniemi,et al.  MEG-compatible multichannel EEG electrode array. , 1996, Electroencephalography and clinical neurophysiology.

[2]  S Dimolitsas,et al.  Waveform preserving encoders for the compression of EEG data , 1986 .

[3]  A. Gevins The future of electroencephalography in assessing neurocognitive functioning. , 1998, Electroencephalography and clinical neurophysiology.

[4]  Charles W. Anderson,et al.  EEG signal compression with ADPCM subband coding , 1996, Proceedings of the 39th Midwest Symposium on Circuits and Systems.

[5]  Farzin Deravi,et al.  Region-based fractal image compression using heuristic search , 1995, IEEE Trans. Image Process..

[6]  H. Koymen,et al.  Multichannel ECG data compression by multirate signal processing and transform domain coding techniques , 1993, IEEE Transactions on Biomedical Engineering.

[7]  Gyan C. Agarwal,et al.  Tree structured filter bank for time-frequency decomposition of EEG signals , 1995, Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society.

[8]  Abraham Lempel,et al.  A universal algorithm for sequential data compression , 1977, IEEE Trans. Inf. Theory.

[9]  Stéphane Mallat,et al.  A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  Mingui Sun,et al.  Lossless compression of electroencephalographic (EEG) data , 1996, 1996 IEEE International Symposium on Circuits and Systems. Circuits and Systems Connecting the World. ISCAS 96.

[11]  S E Umbaugh,et al.  Compression of skin tumor images. , 1998, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[12]  John H. Busser,et al.  Principles of Applied Biomedical Instrumentation , 1968 .

[13]  N Pradhan,et al.  Use of running fractal dimension for the analysis of changing patterns in electroencephalograms. , 1993, Computers in biology and medicine.

[14]  H Hinrichs EEG data compression with source coding techniques. , 1991, Journal of biomedical engineering.

[15]  Hermann Hinrichs Quellencodierung zur effizienten Speicherung klinischer EEG-Signale , 1984 .

[16]  Franco Bartolini,et al.  Recurrent neural network predictors for EEG signal compression , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[17]  Samuel D. Stearns Arithmetic coding in lossless waveform compression , 1995, IEEE Trans. Signal Process..

[18]  P. Tonella,et al.  EEG data compression techniques , 1997, IEEE Transactions on Biomedical Engineering.

[19]  Thomas Martinetz,et al.  'Neural-gas' network for vector quantization and its application to time-series prediction , 1993, IEEE Trans. Neural Networks.

[20]  Robert M. Gray,et al.  An Algorithm for Vector Quantizer Design , 1980, IEEE Trans. Commun..

[21]  Allen Gersho,et al.  Vector quantization and signal compression , 1991, The Kluwer international series in engineering and computer science.

[22]  Peter H. Westerink,et al.  Subband coding of images using vector quantization , 1988, IEEE Trans. Commun..

[23]  S. Mitra,et al.  Iterative function system and genetic algorithm-based EEG compression. , 1997, Medical engineering & physics.

[24]  P. P. Vaidyanathan,et al.  Lattice structures for optimal design and robust implementation of two-channel perfect-reconstruction QMF banks , 1988, IEEE Trans. Acoust. Speech Signal Process..

[25]  Pamela C. Cosman,et al.  Vector quantization of image subbands: a survey , 1996, IEEE Trans. Image Process..

[26]  G. Comi,et al.  IFCN standards for digital recording of clinical EEG. The International Federation of Clinical Neurophysiology. , 1998, Electroencephalography and clinical neurophysiology. Supplement.

[27]  R. Ilmoniemi,et al.  Neuronal responses to magnetic stimulation reveal cortical reactivity and connectivity , 1997, Neuroreport.

[28]  Ian H. Witten,et al.  Arithmetic coding for data compression , 1987, CACM.

[29]  Kazuo Toraichi,et al.  On compressing method of EEG data for their digital database , 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[30]  Teuvo Kohonen,et al.  Self-Organizing Maps , 2010 .

[31]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .