Automatic identification of respiratory diseases from stethoscopic lung sound signals using ensemble classifiers

Detecting Respiratory Pathologies Using Convolutional Neural Networks and Variational Autoencoders for Unbalancing Data

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Multi-channel lung sound classification with convolutional recurrent neural networks

(2020) Elmar Messner et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Evaluation of features for classification of wheezes and normal respiratory sounds

(2019) Renard Xaviero Adhi Pramono et al.   PLoS One

Impact of slow breathing on the blood pressure and subarachnoid space width oscillations in humans

(2019) Magdalena K. Nuckowska et al.   Scientific Reports

A Strong Machine Learning Classifier and Decision Stumps Based Hybrid AdaBoost Classification Algorithm for Cognitive Radios

(2019) Siji Chen et al.   SENSORS

Multichannel lung sound analysis for asthma detection

(2018) Md. Ariful Islam et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Classification of lung sounds using higher-order statistics: A divide-and-conquer approach

(2016) Raphael Naves et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Wheezing recognition algorithm using recordings of respiratory sounds at the mouth in a pediatric population

(2016) Plamen Bokov et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Auscultation of the respiratory system

(2015) Malay Sarkar et al.   Annals of Thoracic Medicine

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

(2015) Bor-Shing Lin et al.   Journal of Healthcare Engineering

The detection of crackles based on mathematical morphology in spectrogram analysis

(2015) Kexin Zhang et al.   TECHNOLOGY AND HEALTH CARE

New approaches for spectro-temporal feature extraction with applications to respiratory sound classification

(2013) F. Jin et al.   NEUROCOMPUTING

Respiratory rate assessments using a dual-accelerometer device

(2013) Sara Lapi et al.   RESPIRATORY PHYSIOLOGY & NEUROBIOLOGY

Pulmonary crackle detection using time–frequency and time–scale analysis

(2012) Gorkem Serbes et al.   DIGITAL SIGNAL PROCESSING

A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches

(2011) M. Galar et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

Log Energy Entropy-Based EEG Classification with Multilayer Neural Networks in Seizure

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Method for automatic detection of wheezing in lung sounds

(2009) R.J. Riella et al.   BRAZILIAN JOURNAL OF MEDICAL AND BIOLOGICAL RESEARCH

Pattern recognition methods applied to respiratory sounds classification into normal and wheeze classes

(2009) Mohammed Bahoura   COMPUTERS IN BIOLOGY AND MEDICINE