ECG Arrhythmia Classification Using Spearman Rank Correlation and Support Vector Machine-Reference-Cited by-同舟云学术

ECG Arrhythmia Classification Using Spearman Rank Correlation and Support Vector Machine

Published:2012 Issue: Volume: Page:591-598
ISSN:1867-5662
Container-title:Advances in Intelligent and Soft Computing
language:
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Author:

Khare Shreya,Bhandari Akshay,Singh Saurabh,Arora Anuja

Publisher

Springer India

Link

http://link.springer.com/content/pdf/10.1007/978-81-322-0491-6_54

Reference17 articles.

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2. Özlem Özcan, N., Gürgen, F.: Fuzzy Support Vector Machines for ECG Arrhythmia Detection. In: International Conference on Pattern Recognition 2010 (2010), doi:10.1109/ICPR.2010.728

3. Kohli, N., Verma, N.K., Roy, A.: SVM based Methods for Arr-hythmia Classification in ECG. In: Int’l Conf. on Computer & Communication Technology ICCT 2010 (2010), doi:10.1109/ICCCT.2010.5640480

4. Mahesh, V., Kandaswamy, A., Vimal, C., Sathish, B.: ECG arrhythmia classification based on logistic model tree. Journal of Biomedical Science and Engineering (2009), doi:10.4236/jbise.2009.26058

5. Acharya, R., Bhat, P.S., Iyengar, S.S., Roo, A., Dua, S.: Classification of heart rate data using artificial neural network and fuzzy equivalence relation. The Journal of the Pattern Recognition Society (2002), doi:10.1016/S0031-3203(02)00063-8

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