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Comparison of Cough, Wheeze and Sustained Phonations for Automatic Classification between Healthy Subjects and Asthmatic Patients

Yadav, S and Nk, K and Gope, D and Krishnaswamy, UM and Ghosh, PK (2018) Comparison of Cough, Wheeze and Sustained Phonations for Automatic Classification between Healthy Subjects and Asthmatic Patients. In: 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018, 18 - 21 July 2018, Honolulu, pp. 1400-1403.

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Official URL: https://doi.org/10.1109/EMBC.2018.8512496

Abstract

In this work, we consider the task of automatic classification of asthmatic patients and healthy subjects using voice stimuli. Cough and wheeze have been used as voice stimuli for this classification task in the past. In this work, we focus on sustained phonations, namely /a/, /i/, /u/, /e/, /o℧/ and compare their classification performances with the cough and wheeze. Classification experiments using 35 asthmatic patients and 36 healthy subjects show that sustained vowel /i/ achieves the highest classification accuracy of 80.79% among five vowels considered. However, it is found to be higher and lower than the classification accuracies of 78.72% and 90.25% obtained using cough and wheeze respectively. This suggests that for speech-based asthma classification, /i/ would be a better choice compared to other vowels considered in this work. However, when non-speech sounds are included for classification, wheeze is a better choice than sustained /i/.

Item Type: Conference Paper
Publication: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords: abnormal respiratory sound; asthma; comparative study; coughing; human; normal human; phonation, Asthma; Cough; Healthy Volunteers; Humans; Phonation; Respiratory Sounds
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Division of Electrical Sciences > Electrical Engineering
Division of Interdisciplinary Sciences > Centre for Biosystems Science and Engineering
Date Deposited: 02 Aug 2022 12:19
Last Modified: 02 Aug 2022 12:19
URI: https://eprints.iisc.ac.in/id/eprint/75192

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