Key result
Automated wheeze detection systems demonstrate high accuracy in research settings, with the trachea being the optimal sensor location, though commercial real-time systems remain undeveloped.
Why the study?
Do automated wheeze detection systems improve the diagnosing and monitoring of asthmatic patients compared to traditional stethoscope use?
Systematic Review (n=21)
Do automated wheeze detection systems improve the diagnosing and monitoring of asthmatic patients compared to traditional stethoscope use?
This systematic review provides a comprehensive overview of automated wheeze detection technologies to encourage the development of commercial systems for better asthma management.
Answers are grounded in this paper and cite their sources.
Supports commercial development of real-time wheeze detectors for asthma; leaves open clinical validation and adoption.
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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Shaharum et al. (2012) conducted a systematic review in Asthma (n=21). Automated wheeze detection systems was evaluated on System performance (accuracy, sensitivity, specificity) of various automated wheeze detection algorithms. Automated wheeze detection systems demonstrate high accuracy in research settings, with the trachea being the optimal sensor location, though commercial real-time systems remain undeveloped.
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