This paper proposes a serial hardware architecture of a multilayer perceptron (MLP) neural
network for real-time wheezing detection in respiratory sounds. As an established …

This paper presents a new hardware architecture for real-time wheezing detection in
pulmonary sounds. The proposed architecture is based on Mel-frequency cepstral …

An analysis of the use of neural networks to process lung sounds and identify wheezes is
presented. Both raw signal data and Fourier transform data were used to train and test a …

This paper proposes a new hardware implementation of an automatic wheeze detector in
pulmonary sounds. The proposed system is based on the combination of Mel-frequency …

The present paper proposes a new hardware implementation to categorize lung sounds into
wheeze and normal groups. The suggested architecture employs the Mel-Frequency …

This paper presents a new technique for wheezes detection in respiratory sounds using a
Long Short-Term Memory (LSTM), a specific type of Recurrent Neural Networks (RNNs). The …

Wheezing is often treated as a crucial indicator in the diagnosis of obstructive pulmonary
diseases. A rapid wheezing detection system may help physicians to monitor patients over …

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 …

This study describes the design of a fast and high performance wheeze recognition system.
The proposed wheezing detection algorithm is based on order truncate average (OTA) and …

This paper describes the investigation of techniques for lung sounds analysis using the
spectrogram image processing of respiratory cycles as a parameter source for automatic …