Morphological analysis of ECG holter recordings by support vector machines

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2526, Issue , 2002, Pages 134-143

  Jankowski, S ^a   Tijink, J ^b   Vumbaca, G ^b   Balsi, M ^b   Karpinski, G ^c  

^a WARSAW UNIVERSITY OF TECHNOLOGY   (Poland)

^b SAPIENZA UNIVERSITY OF ROME   (Italy)

^c Clinical Department of Neurosurgery with Motor System Traumatology Unit   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED DIAGNOSIS; COMPUTER AIDED INSTRUCTION; DATA HANDLING; DIGITAL FILTERS; ELECTROCARDIOGRAPHY; INFORMATION ANALYSIS; MACHINE LEARNING; SUPPORT VECTOR MACHINES; VECTORS;

COMPUTER AIDED TOOLS; MATHEMATICAL BASIS; MORPHOLOGICAL ANALYSIS; NUMERICAL EFFICIENCY; SHAPE RECOGNITION; SIGNAL PREPROCESSING; SUPPORT VECTOR CLASSIFICATION; WAVELET TECHNIQUES;

NUMERICAL METHODS;

EID: 84974712319     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-36104-9_15     Document Type: Conference Paper

References (6)

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3. N. Cristianini, J. Shaw-Taylor: Support Vector Machines, Cambridge University Press, 2000
4. J. Platt: Sequential Minimal Optimization: A fast algorithm for training support vector machines, Tech. Rep. MSR-TR-98-14, Microsoft Research, 1998
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6. L. Devroye, L. Györfi, G. Lugosi: A Probabilistic Theory of Pattern Recognition, Springer-Verlag, New York Berlin Heidelberg 1996