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Asthma Detection Research Based on Voice Signal Processing and Machine Learning
Published on: July 22, 2025
A survey on automated wheeze detection systems for asthmatic patients
Syamimi Mardiah Shaharum1, Kenneth Sundaraj, Rajkumar Palaniappan
1AI-Rehab Research Group, Universiti Malaysia Perlis, Kampus Pauh Putra, 02600 Perlis, Malaysia. mimishaharum@yahoo.com
Abstract:
The purpose of this paper is to present an evidence of automated wheeze detection system by a survey that can be very beneficial for asthmatic patients. Generally, for detecting asthma in a patient, stethoscope is used for ascertaining wheezes present. This causes a major problem nowadays because a number of patients tend to delay the interpretation time, which can lead to misinterpretations and in some worst cases to death. Therefore, the development of automated system would ease the burden of medical personnel. A further discussion on automated wheezes detection system will be presented later in the paper. As for the methodology, a systematic search of articles published as early as 1985 to 2012 was conducted. Important details including the hardware used, placement of hardware, and signal processing methods have been presented clearly thus hope to help and encourage future researchers to develop commercial system that will improve the diagnosing and monitoring of asthmatic patients.
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