AIMC Topic: Respiratory Sounds

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Wheeze type classification using non-dyadic wavelet transform based optimal energy ratio technique.

Computers in biology and medicine Nov 10, 2018
BACKGROUND AND OBJECTIVE: Wheezes in pulmonary sounds are anomalies which are often associated with obstructive type of lung diseases. The previous works on wheeze-type classification focused mainly on using fixed time-frequency/scale resolution base...
Respiratory Sounds Support Vector Machine Signal Processing, Computer-Assisted Lung Diseases Wavelet Analysis Humans Lung
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Characterization and classification of asthmatic wheeze sounds according to severity level using spectral integrated features.

Computers in biology and medicine Nov 2, 2018
OBJECTIVE: This study aimed to investigate and classify wheeze sounds of asthmatic patients according to their severity level (mild, moderate and severe) using spectral integrated (SI) features.
Humans Female Aged Severity of Illness Index Support Vector Machine Signal Processing, Computer-Assisted Respiratory Sounds Adult Asthma Male Middle Aged
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Lung sounds classification using convolutional neural networks.

Artificial intelligence in medicine May 1, 2018
Lung sounds convey relevant information related to pulmonary disorders, and to evaluate patients with pulmonary conditions, the physician or the doctor uses the traditional auscultation technique. However, this technique suffers from limitations. For...
Humans Aged Adult Male Middle Aged Prognosis Female Infant, Newborn Reproducibility of Results Lung Diseases Acoustics Sound Spectrography Pattern Recognition, Automated Child Auscultation Support Vector Machine Lung Respiratory Sounds Predictive Value of Tests Deep Learning Signal Processing, Computer-Assisted Adolescent
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A novel feature extraction technique for pulmonary sound analysis based on EMD.

Computer methods and programs in biomedicine Mar 22, 2018
BACKGROUND AND OBJECTIVE: The stethoscope based auscultation technique is a primary diagnostic tool for chest sound analysis. However, the performance of this method is limited due to its dependency on physicians experience, knowledge and also clarit...
Sensitivity and Specificity Lung India Support Vector Machine Models, Statistical Signal Processing, Computer-Assisted Pattern Recognition, Automated Wavelet Analysis Humans Neural Networks, Computer Algorithms Stethoscopes Auscultation Respiratory Sounds
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Multichannel lung sound analysis for asthma detection.

Computer methods and programs in biomedicine Mar 9, 2018
BACKGROUND AND OBJECTIVE: Lung sound signals convey valuable information of the lung status. Auscultation is an effective technique to appreciate the condition of the respiratory system using lung sound signals. The prior works on asthma detection fr...
Humans Neural Networks, Computer Algorithms Female Middle Aged Lung Support Vector Machine Models, Statistical Young Adult Adult Asthma Male Normal Distribution Auscultation Respiratory Sounds Predictive Value of Tests Forced Expiratory Volume Signal Processing, Computer-Assisted Vital Capacity
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The attractor recurrent neural network based on fuzzy functions: An effective model for the classification of lung abnormalities.

Computers in biology and medicine Mar 23, 2017
The respiratory system dynamic is of high significance when it comes to the detection of lung abnormalities, which highlights the importance of presenting a reliable model for it. In this paper, we introduce a novel dynamic modelling method for the c...
Humans Neural Networks, Computer Young Adult Adult Pulmonary Disease, Chronic Obstructive Respiratory Sounds Sensitivity and Specificity Middle Aged Fuzzy Logic Signal Processing, Computer-Assisted
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Automatic Diagnosis of Obstructive Sleep Apnea/Hypopnea Events Using Respiratory Signals.

Journal of medical systems Oct 19, 2016
Obstructive sleep apnea is a sleep disorder which may lead to various results. While some studies used real-time systems, there are also numerous studies which focus on diagnosing Obstructive Sleep Apnea via signals obtained by polysomnography from a...
Humans Neural Networks, Computer Algorithms Reproducibility of Results Electrocardiography Electroencephalography Electromyography Sleep Apnea, Obstructive Respiratory Sounds
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Lung sound classification using cepstral-based statistical features.

Computers in biology and medicine May 22, 2016
Lung sounds convey useful information related to pulmonary pathology. In this paper, short-term spectral characteristics of lung sounds are studied to characterize the lung sounds for the identification of associated diseases. Motivated by the succes...
Neural Networks, Computer Algorithms Signal Processing, Computer-Assisted Signal-To-Noise Ratio Humans Respiratory Sounds
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Use of a Robotic Sampler (PIPER) for Evaluation of Particulate Matter Exposure and Eczema in Preschoolers.

International journal of environmental research and public health Feb 19, 2016
While the association of eczema with asthma is well recognized, little research has focused on the potential role of inhalable exposures and eczema. While indoor air quality is important in the development of respiratory disease as children in the U....
Robotics Air Pollution, Indoor Particulate Matter Inhalation Exposure Infant Child, Preschool Environmental Monitoring Eczema Dermatitis, Atopic Respiratory Sounds Humans Female Asthma Male
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Wheezing recognition algorithm using recordings of respiratory sounds at the mouth in a pediatric population.

Computers in biology and medicine Jan 8, 2016
BACKGROUND: Respiratory diseases in children are a common reason for physician visits. A diagnostic difficulty arises when parents hear wheezing that is no longer present during the medical consultation. Thus, an outpatient objective tool for recogni...
Child Support Vector Machine Signal Processing, Computer-Assisted Respiratory Sounds Male Infant Adolescent Child, Preschool Humans Algorithms Female
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