AIMC Topic: Respiratory Sounds

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[Research progress of the application of AI in the diagnosis and treatment of respiratory disease].

Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases Aug 12, 2019
Humans Artificial Intelligence Respiration Disorders Auscultation Respiratory Sounds Diagnosis, Computer-Assisted Respiratory Tract Diseases
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Crackle and Breathing Phase Detection in Lung Sounds with Deep Bidirectional Gated Recurrent Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
In this paper, we present a method for event detection in single-channel lung sound recordings. This includes the detection of crackles and breathing phase events (inspiration/expiration). Therefore, we propose an event detection approach with spectr...
Respiratory Sounds Heart Sounds Neural Networks, Computer Lung Sound Spectrography Humans Respiration Sound
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Artificial intelligence in diagnosis of obstructive lung disease: current status and future potential.

Current opinion in pulmonary medicine Mar 1, 2018
PURPOSE OF REVIEW: The application of artificial intelligence in the diagnosis of obstructive lung diseases is an exciting phenomenon. Artificial intelligence algorithms work by finding patterns in data obtained from diagnostic tests, which can be us...
Lung Diseases, Obstructive Breath Tests Respiratory Sounds Diagnosis, Computer-Assisted Pattern Recognition, Automated Respiratory Function Tests Algorithms Tomography, X-Ray Computed Humans Neural Networks, Computer Artificial Intelligence Machine Learning
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Application of semi-supervised deep learning to lung sound analysis.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
The analysis of lung sounds, collected through auscultation, is a fundamental component of pulmonary disease diagnostics for primary care and general patient monitoring for telemedicine. Despite advances in computation and algorithms, the goal of aut...
Models, Theoretical Lung Diseases Auscultation Respiratory Sounds Databases, Factual Lung Machine Learning Algorithms Humans Neural Networks, Computer
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The power of data mining in diagnosis of childhood pneumonia.

Journal of the Royal Society, Interface Jul 1, 2016
Childhood pneumonia is the leading cause of death of children under the age of 5 years globally. Diagnostic information on the presence of infection, severity and aetiology (bacterial versus viral) is crucial for appropriate treatment. However, the d...
Biomarkers Female Male Infant Infant, Newborn Humans Machine Learning C-Reactive Protein Data Mining Respiratory Sounds Child Pneumonia Adolescent Child, Preschool
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Automatic Wheezing Detection Based on Signal Processing of Spectrogram and Back-Propagation Neural Network.

Journal of healthcare engineering Jan 1, 2015
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-...
Respiratory Sounds Signal Processing, Computer-Assisted Sound Spectrography Asthma Middle Aged Case-Control Studies Diagnosis, Computer-Assisted Algorithms Adult Humans Neural Networks, Computer
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An alternative respiratory sounds classification system utilizing artificial neural networks.

Biomedical journal Jan 1, 2015
BACKGROUND: Computerized lung sound analysis involves recording lung sound via an electronic device, followed by computer analysis and classification based on specific signal characteristics as non-linearity and nonstationarity caused by air turbulen...
Evoked Potentials Respiratory Sounds Humans Software Signal Processing, Computer-Assisted Nerve Net Neural Networks, Computer Artificial Intelligence
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