Characterization and classification of asthmatic wheeze sounds according to severity level using spectral integrated features.

Journal: Computers in biology and medicine

Published Date: Nov 2, 2018

Abstract

OBJECTIVE: This study aimed to investigate and classify wheeze sounds of asthmatic patients according to their severity level (mild, moderate and severe) using spectral integrated (SI) features.

Authors

Fizza Ghulam Nabi

School of Mechatronic Engineering, Universiti Malaysia Perlis (UniMAP), 02600, Arau, Perlis, Malaysia. Electronic address: engr.fizza@yahoo.com.
Kenneth Sundaraj

Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia.
Chee Kiang Lam

School of Mechatronic Engineering, Universiti Malaysia Perlis (UniMAP), 02600, Arau, Perlis, Malaysia. Electronic address: lckiang@unimap.edu.my.
Rajkumar Palaniappan

School of Electronics Engineering (SENSE), VIT University, Vellore, Tamil Nadu, India. Electronic address: prkmect@gmail.com.

Keywords

Adult Aged Asthma Female Humans Male Middle Aged Respiratory Sounds Severity of Illness Index Signal Processing, Computer-Assisted Support Vector Machine

External Resources

View on PubMed Access via DOI PubMed (30439599)

Characterization and classification of asthmatic wheeze sounds according to severity level using spectral integrated features.

Abstract

Authors

Keywords

External Resources

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