Artificial Intelligence Techniques Used for Wheeze Sounds Analysis: Review

Conference paper
Part of the IFMBE Proceedings book series (IFMBE, volume 58)


Wheezes are acoustic, adventitious, continues and high pitch pulmonary sounds produce due to airway obstruction, these sounds mostly exist in pneumonia and asthma patients. Artificial intelligence techniques have been extensively used for wheeze sound analysis to diagnose patient. The available literature has not yet been reviewed. In this article most recent and relevant 12 studies, from different databases related to artificial inelegance techniques for wheeze detection has been selected for detailed review. It has been noticed that now trend is going to increase in this area, for personal assistance and continues monitoring of patient health. The literature reveals that 1) wheezes signals have enough information for the classification of patients according to disease severity level and type of disease, 2) significant work is required for identification of severity level of airway obstruction and pathology differentiation.


Wheeze Wheeze Sounds Respiratory Sounds Airway Obstruction Wheeze Analysis 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  1. 1.School of Mechatronic EngineeringUniversiti Malaysia Perlis (UniMAP)ArauMalaysia
  2. 2.Faculty of Electronics and Computer EngineeringUniversiti Teknikal Malaysia Melaka (UTeM)Durian TunggalMalaysia
  3. 3.School of Electronics Engineering (SENSE)Vellore Institute of Technology (VIT)VelloreIndia
  4. 4.Department of AnesthesiologyHospital Tengku Ampuan Rahimah (HTAR)KlangMalaysia
  5. 5.Faculty of Manufacturing EngineeringUniversiti Malaysia PahangPekanMalaysia

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