Multichannel lung sound analysis for asthma detection.

Journal: Computer methods and programs in biomedicine
Published Date: Jun 1, 2018

Abstract

BACKGROUND AND OBJECTIVE: Lung sound signals convey valuable information of the lung status. Auscultation is an effective technique to appreciate the condition of the respiratory system using lung sound signals. The prior works on asthma detection from lung sound signals rely on the presence of wheeze. In this paper, we have classified normal and asthmatic subjects using advanced signal processing of posterior lung sound signals, even in the absence of wheeze.

Authors

  • Md Ariful Islam
    Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, Kharagpur 721302, India. Electronic address: arif.iitkgp@ece.iitkgp.ernet.in.
  • Irin Bandyopadhyaya
    Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, Kharagpur 721302, India. Electronic address: irin.iitkgp@iitkgp.ac.in.
  • Parthasarathi Bhattacharyya
    Institute of Pulmocare and Research, Kolkata, Kolkata 700064, India. Electronic address: parthachest@yahoo.com.
  • Goutam Saha
    Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, Kharagpur 721302, India. Electronic address: gsaha@ece.iitkgp.ernet.in.

Keywords

External Resources

Popular Topics
Recent Journals