Low Complexity Algorithm for Heart Sound Segmentation using the Variance Fractal Dimension



Heart Sound Segmentation, Fractal Variance Dimension


Biomedical Engineering

Related Project

IST FP6 MyHeart


IEEE Int. Symp. on Intelligent Signal Processing, September 2005

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Year 2013 : 6 citations

 Verma, Nirmla, Amit Kumar Biswas, and R. M. Potdar. "Phonocardiogram Signal Segmentation and Classification Using Variance Fractal Dimension." International Journal of Advanced Research in Computer Science 4.3 (2013).

 Naseri, H., M. R. Homaeinezhad, and H. Pourkhajeh. "Noise/Spike Detection in Phonocardiogram Signal as a Cyclic Random Process with Non-Stationary Period Interval." Computers in Biology and Medicine (2013).

 Mandal, D., and I. SahaMisra. "An Innovative DSP Processor Based Heart Activity Detection System."

 Moukadem, A., et al. "Comparative study of heart sound localization algorithms." SPIE Microtechnologies. International Society for Optics and Photonics, 2011.

 Mandal, D., M. Chattopadhyay, and I. Saha Mishra. "A low cost non-invasive digital signal processor based (TMS320C6713) heart diagnosis system." Recent Advances in Information Technology (RAIT), 2012 1st International Conference on. IEEE, 2012.

 GUO Xing-ming, YUAN will, and Ding Xiaorong. "Empirical mode decomposition and correlation dimension in heart sound signal classification and recognition." University of Electronic Science and Technology 42.6 (2013) .

Year 2009 : 1 citations

 • Talha J. Ahmad, Hussnain Ali, Shoab A. Khan, Classification of Phonocardiogram using an Adaptive Fuzzy Inference System, Proceedings of the 2009 International Conference on Image Processing, Computer Vision, Pattern Recognition,2009.

Year 2006 : 1 citations

 • J. Habetha, The MyHeart Project – Fighting Cardiovascular Diseases by Prevention and Early Diagnosis, EMBS, 2006.