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The Scientific World Journal
Volume 2013, Article ID 505840, 12 pages
http://dx.doi.org/10.1155/2013/505840
Research Article

Design Methodology of a New Wavelet Basis Function for Fetal Phonocardiographic Signals

1Manoharbhai Patel Institute of Engineering & Technology, Kudwa, Gondia, Maharashtra 441 614, India
2Indian Institute of Technology, Rajasthan MBM College Campus, Old Residency Road, Ratanada, Jodhpur, Rajasthan 342 011, India

Received 5 March 2013; Accepted 24 April 2013

Academic Editors: Z.-L. Sun and V. Valimaki

Copyright © 2013 Vijay S. Chourasia and Anil Kumar Tiwari. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [10 citations]

The following is the list of published articles that have cited the current article.

  • Malek Najeh, Aicha Bouzid, and Noureddine Ellouze, “Optimal wavelet selection for fetal heart rate detection using the multiscale product,” 2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), pp. 277–281, . View at Publisher · View at Google Scholar
  • E. Koutsiana, L. J. Hadjileontiadis, I. Chouvarda, and A. H. Khandoker, “Detecting fetal heart sounds by means of Fractal Dimension analysis in the Wavelet domain,” 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 2201–2204, . View at Publisher · View at Google Scholar
  • Chundong Wang, Guangming Bo, Chundong Wang, and Guangming Bo, “A novel approach to generate and extract audio watermark,” Proceedings - 2013 8th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC 2013, pp. 405–409, 2013. View at Publisher · View at Google Scholar
  • Dawid Gradolewski, and Grzegorz Redlarski, “Wavelet-based denoising method for real phonocardiography signal recorded by mobile devices in noisy environment,” Computers in Biology and Medicine, vol. 52, pp. 119–129, 2014. View at Publisher · View at Google Scholar
  • Vijay S. Chourasia, Anil Kumar Tiwari, and Ranjan Gangopadhyay, “A novel approach for phonocardiographic signals processing to make possible fetal heart rate evaluations,” Digital Signal Processing, vol. 30, pp. 165–183, 2014. View at Publisher · View at Google Scholar
  • Yaosheng Lu, Xiaodong Li, Shouyi Wei, and Xiaolei Liu, “Fetal heart rate baseline estimation with analysis of fetal movement signal,” Bio-Medical Materials and Engineering, vol. 24, no. 6, pp. 3763–3769, 2014. View at Publisher · View at Google Scholar
  • Baby Paul, Shanavaz, and Mythili, “A NEW OPTIMIZED WAVELET TRANSFORM for HEART BEAT CLASSIFICATION,” Journal of Mechanics in Medicine and Biology, vol. 15, no. 5, 2015. View at Publisher · View at Google Scholar
  • Elisavet Koutsiana, Leontios J. Hadjileontiadis, Ioanna Chouvarda, and Ahsan H. Khandoker, “Fetal Heart Sounds Detection Using Wavelet Transform and Fractal Dimension,” Frontiers in Bioengineering and Biotechnology, vol. 5, 2017. View at Publisher · View at Google Scholar
  • Prashanth Chetlur Adithya, Ravi Sankar, Wilfrido Alejandro Moreno, and Stuart Hart, “Trends in fetal monitoring through phonocardiography: Challenges and future directions,” Biomedical Signal Processing and Control, vol. 33, pp. 289–305, 2017. View at Publisher · View at Google Scholar
  • Adriana Leal, Diogo Nunes, Ricardo Couceiro, Jorge Henriques, Paulo Carvalho, Isabel Quintal, and César Teixeira, “Noise detection in phonocardiograms by exploring similarities in spectral features,” Biomedical Signal Processing and Control, vol. 44, pp. 154–167, 2018. View at Publisher · View at Google Scholar