Strict 2-surface proximal classification of knee-joint vibroarthrographic signals

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2007, Pages 4911-4914

  Mu, Tingting ^a   Nandi, Asoke K ^a   Rangayyan, Rangaraj M ^b  

^a UNIVERSITY OF LIVERPOOL   (United Kingdom)

^b UNIVERSITY OF CALGARY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMECHANICS; CLASSIFICATION (OF INFORMATION); PARAMETER EXTRACTION; PATHOLOGY;

JOINT VIBROARTHROGRAPHIC SIGNALS; PROXIMAL CLASSIFICATION;

JOINTS (ANATOMY);

ALGORITHM; ARTHROGRAPHY; ARTHROPATHY; ARTICLE; ARTICULAR CARTILAGE; AUTOMATED PATTERN RECOGNITION; CHONDROPATHY; HUMAN; KNEE; METHODOLOGY; PATHOPHYSIOLOGY; PHYSIOLOGY; REFERENCE VALUE; SURFACE PROPERTY; VIBRATION;

ALGORITHMS; ARTHROGRAPHY; CARTILAGE DISEASES; CARTILAGE, ARTICULAR; HUMANS; JOINT DISEASES; KNEE JOINT; PATTERN RECOGNITION, AUTOMATED; REFERENCE VALUES; SURFACE PROPERTIES; VIBRATION;

EID: 57649243787     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2007.4353441     Document Type: Conference Paper

References (18)

1. M. L. Chu, I. A. Gradisar, and R. Mostardi. A noninvasive electroacoustical evaluation technique of cartilage damage in pathological knee joints. Medical & Biological Engineering & Computing, 16:437-442, 1978.
2. W. G. Kernohan, D. E. Beverland, G. F. McCoy, A. Hamilton, P. Watson, and R. A. B. Mollan. Vibration arthrometry. Acta Orthopaedica Scandinavica, 61(1):70-79, 1990.
3. N. P. Reddy, B. M. Rothschild, M. Mandai, V. Gupta, and S. Suryanarayanan. Noninvasive acceleration measurements to characterize knee arthritis and chondromalacia. Annals of Biomedical Engineering, 23:78-84, 1995.
4. S. Krishnan, R. M. Rangayyan, G. D. Bell, C. B. Frank, and K. O. Ladly. Adaptive filtering, modelling, and classification of knee joint vibroarthrographic signals for non-invasive diagnosis of articular cartilage pathology. Medical & Biological Engineering & Computing, 35:677-684, Nov. 1997.
5. R. M. Rangayyan, S. Krishnan, G. D. Bell, C. B. Frank, and K. O. Ladly. Parametric representation and screening of knee joint vibroarthrographic signals. IEEE Transactions on Biomedical Engineering, 44(11):1068-1074, Nov. 1997.
6. S. Krishnan, R. M. Rangayyan, G. D. Bell, and C. B. Frank. Adaptive time-frequency analysis of knee joint vibroarthrographic signals for noninvasive screening of articular cartilage pathology. IEEE Transactions on Biomedical Engineering, 47(6):773-783, June 2000.
7. K. Umapathy and S. Krishnan. Modified local discriminant bases algorithm and its application in analysis of human knee joint vibration signals. IEEE Transactions on Biomedical Engineering, 53(3):517-523, June 2006.
8. R. M. Rangayyan and Y. Wu. Analysis of knee-joint vibroarthrographic signals using statistical measures. In Proc. of the 20th IEEE Int'l Symposium on Computer-Based Medical Systems, Maribor, Slovenia, June 2007.
9. W. H. Wolberg, W. N. Street, and O. L. Mangasarian. Machine learning techniques to diagnose breast cancer from fine-needle aspirates. Cancer Letter, 77:163-171, 1994.
10. P. J. Lisboa and A. F. G. Taktak. The use of artificial neural networks in decision support in cancer: a systematic review. Neural Networks, 19(4):408-415, 2006.
11. T. Mu, A. K. Nandi, and R. M. Rangayyan. Strict 2-surface proximal classifier with application to breast cancer detection in mammograms. In Proc. of the 32nd Int'l Conf. on Acoustics, Speech, and Signal Processing, ICASSP, Honolulu, HI, April 2007.
12. B. P. Buckles. Genetic Algorithms. IEEE Computer Society Press, Los Alamitos, CA, 1992.
13. L. B. Jack and A. K. Nandi. Genetic algorithms for feature selection in machine condition monitoring with vibration signals. IEE Proceedings Vision, Image and Signal Processing, 147(3):205-212, 2000.
14. C. D. Binnie, B. G. Batchelor, A. J. Gainsborough, D. S. L. Lloyd, D. M. Smith, and G. F. Smith. Visual and computer-assisted assessment of the EEG in epilepsy of late onset. Electroencephalography and Clinical Neumphysiology, 47:102-107, 1979.
15. R. M. Rangayyan. Biomedical Signal Analysis - A Case-Study Appmach. IEEE and Wiley, New York, NY, 2002.
16. A. J. Chipperfield, P. J. Fleming, H. Pohlheim, and C. M. Fonseca. Genetic Algorithm Toolbox for use with MATLAB (version 1.2). University of Sheffield, Sheffield, UK, 1994.
17. K. Pelckmans, J. A. K. Suykens, T. V. Gestel, J. D. Brabanter, L. Lukas, B. Hamers, B. D. Moor, and J. Vandewalle. LS-SVMlab1.5: Least squares support vector machines. Katholieke University Leuven, Belgium, 2003. Available at http://www.esat.kuleuven.ac. be/sista/lssvmlab/toolbox.html.
18. R. O. Duda, P. E. Hart, and D. G. Stork. Pattern Classification. Wiley and Sons, New York, NY, 2nd edition, 2001.