The Effects of Lossy Compression on Diagnostically Relevant Seizure Information in EEG Signals
作者： G. Higgins , B. McGinley , S. Faul , R. P. McEvoy , M. Glavin
DOI: 10.1109/TITB.2012.2222426
关键词:
摘要: This paper examines the effects of compression on electroencephalogram (EEG) signals, in context automated detection epileptic seizures. Specifically, it use lossy EEG signals order to reduce amount data which has be transmitted or stored, while having as little impact possible information signal relevant diagnosing Two popular methods, JPEG2000 and SPIHT, were used. A range levels was selected for both algorithms compress with varying degrees loss. applied database epileptiform provided by University Freiburg, Germany. The real-time analysis event seizure system used place a trained clinician scoring reconstructed data. Results demonstrate that factor up 120:1 can achieved, minimal loss performance measured area under receiver operating characteristic curve system.
sci-hub.se 参考文章(38)
G Higgins, S Faul, R P McEvoy, B McGinley, M Glavin, W P Marnane, E Jones, EEG compression using JPEG2000: How much loss is too much? international conference of the ieee engineering in medicine and biology society. ,vol. 2010, pp. 614- 617 ,(2010) , 10.1109/IEMBS.2010.5628020
A. Temko, E. Thomas, W. Marnane, G. Lightbody, G.B. Boylan, Performance assessment for EEG-based neonatal seizure detectors Clinical Neurophysiology. ,vol. 122, pp. 474- 482 ,(2011) , 10.1016/J.CLINPH.2010.06.035
M. Divjak, D. Zazula, A. Holobar, Assessment of artefact suppression by ICA and spatial filtering on reduced sets of EEG signals international conference of the ieee engineering in medicine and biology society. ,vol. 2011, pp. 4422- 4425 ,(2011) , 10.1109/IEMBS.2011.6091097
Julián L Cárdenas-Barrera, Juan V Lorenzo-Ginori, Ernesto Rodríguez-Valdivia, A wavelet-packets based algorithm for EEG signal compression. Medical Informatics and The Internet in Medicine. ,vol. 29, pp. 15- 27 ,(2004) , 10.1080/14639230310001636499
R P McEvoy, S Faul, W P Marnane, Ambulatory REACT: Real-time seizure detection with a DSP microprocessor international conference of the ieee engineering in medicine and biology society. ,vol. 2010, pp. 2443- 2446 ,(2010) , 10.1109/IEMBS.2010.5626068
H. Nolan, R. Whelan, R.B. Reilly, FASTER: Fully Automated Statistical Thresholding for EEG artifact Rejection. Journal of Neuroscience Methods. ,vol. 192, pp. 152- 162 ,(2010) , 10.1016/J.JNEUMETH.2010.07.015
D. Hill, Value of the E.E.G. in Diagnosis of Epilepsy BMJ. ,vol. 1, pp. 663- 666 ,(1958) , 10.1136/BMJ.1.5072.663
A. Temko, E. Thomas, W. Marnane, G. Lightbody, G. Boylan, EEG-based neonatal seizure detection with Support Vector Machines Clinical Neurophysiology. ,vol. 122, pp. 464- 473 ,(2011) , 10.1016/J.CLINPH.2010.06.034
Thomas Maiwald, Armin Brandt, Ariane Schad, Andreas Schulze-Bonhage, Jens Timmer, Björn Schelter, Matthias Winterhalder, Testing statistical significance of multivariate time series analysis techniques for epileptic seizure prediction Chaos: An Interdisciplinary Journal of Nonlinear Science. ,vol. 16, pp. 013108- 013108 ,(2006) , 10.1063/1.2137623
Frank Gilliam, Ruben Kuzniecky, Edward Faught, Ambulatory EEG Monitoring Journal of Clinical Neurophysiology. ,vol. 16, pp. 111- 115 ,(1999) , 10.1097/00004691-199903000-00003