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Artificial Intelligence Techniques Used for Wheeze Sounds Analysis: Review

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Book cover 3rd International Conference on Movement, Health and Exercise (MoHE 2016)

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Abstract

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.

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Author information

Authors and Affiliations

  1. School of Mechatronic Engineering, Universiti Malaysia Perlis (UniMAP), Arau, Perlis, Malaysia

    F. G. Nabi & L. C. Kiang

  2. Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka (UTeM), Durian Tunggal, Melaka, Malaysia

    K. Sundaraj

  3. School of Electronics Engineering (SENSE), Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India

    R. Palaniappan

  4. Department of Anesthesiology, Hospital Tengku Ampuan Rahimah (HTAR), Klang, Selangor, Malaysia

    S. Sundaraj

  5. Faculty of Manufacturing Engineering, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia

    N. U. Ahamed

Authors
  1. F. G. Nabi
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  2. K. Sundaraj
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  3. L. C. Kiang
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  4. R. Palaniappan
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  5. S. Sundaraj
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  6. N. U. Ahamed
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Corresponding author

Correspondence to F. G. Nabi .

Editor information

Editors and Affiliations

  1. Department of Biomedical Engineering, University of Malaya, Faculty of Engg. Department of Biomedical Engineering, Kuala Lumpur, Malaysia

    Fatimah Ibrahim

  2. Sports Centre, University of Malaya Sports Centre, Kuala Lumpur, Malaysia

    Jadeera Phaik Geok Cheong

  3. Department of Biomedical Engineering, University of Malaya, Faculty of Engg Department of Biomedical Engineering, Kuala Lumpur, Malaysia

    Juliana Usman

  4. Department of Biomedical Engineering, University of Malaya, Faculty of Engg.. Department of Biomedical Engineering, Kuala Lumpur, Malaysia

    Mohd Yazed Ahmad

  5. Sports Centre, University of Malaya Sports Centre, Kuala Lumpur, Malaysia

    Rizal Razman

  6. Sports Centre, University of Malaya Sports Centre, Kuala Lumpur, Malaysia

    Victor S Selvanayagam

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© 2017 Springer Nature Singapore Pte Ltd.

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Nabi, F.G., Sundaraj, K., Kiang, L.C., Palaniappan, R., Sundaraj, S., Ahamed, N.U. (2017). Artificial Intelligence Techniques Used for Wheeze Sounds Analysis: Review. In: Ibrahim, F., Cheong, J., Usman, J., Ahmad, M., Razman, R., Selvanayagam, V. (eds) 3rd International Conference on Movement, Health and Exercise. MoHE 2016. IFMBE Proceedings, vol 58. Springer, Singapore. https://doi.org/10.1007/978-981-10-3737-5_8

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  • DOI: https://doi.org/10.1007/978-981-10-3737-5_8

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3736-8

  • Online ISBN: 978-981-10-3737-5

  • eBook Packages: EngineeringEngineering (R0)

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