Acoustic performance of three stethoscope chest pieces

“…Various types of equipment and techniques exist for obtaining respiratory sounds [25]. The automatic wheezing detection system proposed in the current study was developed in accordance with CORSA standards and on the basis of previous studies [26][27][28][29][30][31][32]. Figure 1 shows a diagram of the system, consisting of hardware and software.…”

Section: Overview Of the Systemmentioning

confidence: 99%

Automatic Wheezing Detection Based on Signal Processing of Spectrogram and Back‐Propagation Neural Network

Lin

Chen

2015

Journal of Healthcare Engineering

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Wheezing is a common clinical symptom in patients with obstructive pulmonary diseases such as asthma. Automatic wheezing detection offers an objective and accurate means for identifying wheezing lung sounds, helping physicians in the diagnosis, long-term auscultation, and analysis of a patient with obstructive pulmonary disease. This paper describes the design of a fast and high-performance wheeze recognition system. A wheezing detection algorithm based on the order truncate average method and a back-propagation neural network (BPNN) is proposed. Some features are extracted from processed spectra to train a BPNN, and subsequently, test samples are analyzed by the trained BPNN to determine whether they are wheezing sounds. The respiratory sounds of 58 volunteers (32 asthmatic and 26 healthy adults) were recorded for training and testing. Experimental results of a qualitative analysis of wheeze recognition showed a high sensitivity of 0.946 and a high specificity of 1.0.

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“…There are several references to previous attempts to test the audio performance of stethoscopes. [1][2][3][4][5][6][7][8] Many of the published works are related to training or evaluation of specifi c patient conditions. [9][10][11][12][13] However, none of these studies offer a standard methodology or classifi cation or provide an evaluation of performance for a wide range of stethoscopes.…”

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confidence: 99%

Instrumentation research

1978

Microprocessors

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Acoustic performance of three stethoscope chest pieces

Cited by 4 publications

References 10 publications

Wheeze Recognition Based on 2d Bilateral Filtering of Spectrogram

Wheeze Recognition Based on 2d Bilateral Filtering of Spectrogram

Automatic Wheezing Detection Based on Signal Processing of Spectrogram and Back‐Propagation Neural Network

Instrumentation research

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