Artifact removal for intracranial pressure monitoring signals: A robust solution with signal decomposition

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 797-801

  Feng, Mengling ^a   Loy, Liang Yu ^a   Zhang, Feng ^a   Guan, Cuntai ^a  

^a INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ALERT SYSTEMS; ARTIFACT REMOVAL; AUTOREGRESSIVE MOVING AVERAGE; EMPIRICAL MODE DECOMPOSITION; FALSE ALARMS; INTRACRANIAL HYPERTENSION; INTRACRANIAL PRESSURE; ITERATIVE FILTERING; MONITORING SIGNALS; NEURO-INTENSIVE CARE; ROBUST SOLUTIONS; ROBUST STATISTICS; SIGNAL DECOMPOSITION;

DECOMPOSITION; INTENSIVE CARE UNITS;

SIGNAL PROCESSING;

ALGORITHM; ARTICLE; ARTIFACT; COMPUTER ASSISTED DIAGNOSIS; HUMAN; INTRACRANIAL PRESSURE; MANOMETRY; METHODOLOGY; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING;

ALGORITHMS; ARTIFACTS; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; INTRACRANIAL PRESSURE; MANOMETRY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84861950416     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6090182     Document Type: Conference Paper

References (13)

1. P. Jones, P. Andrews, S. Midgley, S. Anderson, I. Piper, J. Tocher, A. Housley, J. Corrie, J. D. Slattery , "Measuring the burden of secondary insults in head-injured patients during intensive care," Journal of neurosurgical anesthesiology, 6 (1):4-14, 1994.
2. R. Allen, "Time series methods in the monitoring of intracranial pressure," Journal of Biomed. Eng, 5: 5-18, 1983.
3. X. Hu, P. Xu, S. Asgari, P. Vespa, M. Bergsneider, "Forecasting ICP elevation based on prescient changes of intracranial pressure waveform morphology," IEEE Tran. on Biomed. Eng, 57(5):1070-1078, 2010.
4. M. James, C. Cristina, A. Mateo, E. Miles, L. Susanna, S. Robert, Brahm G. "Precursors to rapid elevations in intracranial pressure," EMBC, 3977-2980, 2001.
5. M. Swiercz, Z. Mariak, J. Krejza, J. Lewko, P. Szydlik, "Intracranial pressure processing with artificial neural networks: prediction of ICP trends," Acta Neurochirurgica, 142:401-406, 2000.
6. D. B. Keenan, and F. H. Wilhelm, "Adaptive and wavelet filtering methods for improving accuracy of respiratory measurement," Biomed. Sci. Instrum., vol. 41, 2005, pp. 37-42.
7. C. A. Joyce, I. F. Gorodnitsky, M. Kutas, "Automatic removal of eye movement and blink artifacts from EEG data using blind component separation," Psychophysiology, 41(2), 313-325, 2004.
8. V. Ricardo, S. Jaakko, J. Veikko, H. Matti, O. Erkki, "Independent component approach to the analysis of eeg and meg recordings," IEEE Tran. on Biomed. Eng, 47(5):589-593, 2000.
9. N. E. Huang, Z. Shen, S. R. Long, "The empirical mode decomposition and Hilbert spectrum for nonlinear and non-stationary time series analysis," Proc. Roy. Soc. Lond. A, 454:903-995, 1998.
10. J.H. Peter, "Robust statistics," Wiley, 1981.
11. N. E. Huang, M-L Wu, W. Qu, S. R. Long, S. S. P. Shen, J. E. Zhang, "Applications of Hilbert-Huang transform to non-stationary financial time series analysis," Applied Stochastic Models in Business and Industry 19: 245-268, 2003.
12. S. Liu, Q. He, R. X. Gao, P. Freedson, "Empirical mode decomposition applied to tissue artifact removal from respiratory signal," EMBC, 3624-3627, 2008. ]
13. P. J. Brockwell and R. A. Davis, "Introduction to Time Series and Forecasting (2nd Edition)", Springer, 2002.