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The Scientific World Journal
Volume 2014 (2014), Article ID 182938, 9 pages
http://dx.doi.org/10.1155/2014/182938
Research Article

Detection of Lungs Status Using Morphological Complexities of Respiratory Sounds

1Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, Kharagpur 721 302, India
2Institute of Pulmocare and Research, Kolkata, Kolkata 700 064, India

Received 31 August 2013; Accepted 17 December 2013; Published 6 February 2014

Academic Editors: G. R. Epler and F. Varoli

Copyright © 2014 Ashok Mondal et al. 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 [7 citations]

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

  • Achmad Rizal, Risanuri Hidayat, and Hanung Adi Nugroho, “Signal domain in respiratory sound analysis: Methods, application and future development,” Journal of Computer Science, vol. 11, no. 10, pp. 1005–1016, 2015. View at Publisher · View at Google Scholar
  • Nandini Sengupta, Md Sahidullah, and Goutam Saha, “Lung sound classification using cepstral-based statistical features,” Computers in Biology and Medicine, 2016. View at Publisher · View at Google Scholar
  • Manuel Lozano, Jose Antonio Fiz, and Raimon Jane, “Automatic Differentiation of Normal and Continuous Adventitious Respiratory Sounds Using Ensemble Empirical Mode Decomposition and Instantaneous Frequency,” IEEE Journal of Biomedical and Health Informatics, vol. 20, no. 2, pp. 486–497, 2016. View at Publisher · View at Google Scholar
  • Renard Xaviero Adhi Pramono, Stuart Bowyer, and Esther Rodriguez-Villegas, “Automatic adventitious respiratory sound analysis: A systematic review,” Plos One, vol. 12, no. 5, pp. e0177926, 2017. View at Publisher · View at Google Scholar
  • Ashok Mondal, Poulami Banerjee, and Ajay Somkuwar, “Enhancement of lung sounds based on empirical mode decomposition and Fourier transform algorithm,” Computer Methods and Programs in Biomedicine, vol. 139, pp. 119–136, 2017. View at Publisher · View at Google Scholar
  • Yu Jin, Xiaohua Douglas Zhang, Chang Chen, Zhixin Cao, Baoqing Sun, Iek Long Lo, Tzu-Ming Liu, Jun Zheng, Shixue Sun, and Yan Shi, “Entropy change of biological dynamics in COPD.,” International journal of chronic obstructive pulmonary disease, vol. 12, pp. 2997–3005, 2017. View at Publisher · View at Google Scholar
  • Md. Ariful Islam, Irin Bandyopadhyaya, Parthasarathi Bhattacharyya, and Goutam Saha, “Multichannel lung sound analysis for asthma detection,” Computer Methods and Programs in Biomedicine, 2018. View at Publisher · View at Google Scholar