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An Algorithm for Automatic Breathing Phase Detection in Recorded Lung Sounds

https://doi.org/10.2139/ssrn.4632170
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inferredcites →https://doi.org/10.1001/archinte.1983.00350050044009openalex-extracted
Relationship of Wheezing to the Severity of Obstruction in Asthma
inferredcites →https://doi.org/10.1007/pl00009515openalex-extracted
Comparative Review of Techniques for Recording Respiratory Events at Rest and during Deglutition
inferredcites →https://doi.org/10.1007/s10439-016-1554-1openalex-extracted
Towards the Development of a Mobile Phonopneumogram: Automatic Breath-Phase Classification Using Smartphones
inferredcites →https://doi.org/10.1007/s11517-012-0869-9openalex-extracted
Acoustic breath-phase detection using tracheal breath sounds
inferredcites →https://doi.org/10.1016/j.artmed.2018.04.008openalex-extracted
Lung sounds classification using convolutional neural networks
inferredcites →https://doi.org/10.1016/j.bspc.2021.102454openalex-extracted
Iterative envelope mean fractal dimension filter for the separation of crackles from normal breath sounds
inferredcites →https://doi.org/10.1016/j.cmpb.2016.02.013openalex-extracted
Classification of lung sounds using higher-order statistics: A divide-and-conquer approach
inferredcites →https://doi.org/10.1016/j.compbiomed.2009.07.014openalex-extracted
Intelligent methods for identifying respiratory cycle phases from tracheal sound signal during sleep
inferredcites →https://doi.org/10.1016/j.dib.2021.106913openalex-extracted
A dataset of lung sounds recorded from the chest wall using an electronic stethoscope
inferredcites →https://doi.org/10.1016/j.procs.2015.08.592openalex-extracted
Automatic Crackle Detection Algorithm Based on Fractal Dimension and Box Filtering
inferredcites →https://doi.org/10.1016/j.resp.2008.02.002openalex-extracted
Impact of breathing pattern on work of breathing in healthy subjects and patients with COPD
inferredcites →https://doi.org/10.1016/j.rmed.2011.05.007openalex-extracted
Computerized lung sound analysis as diagnostic aid for the detection of abnormal lung sounds: A systematic review and meta-analysis
inferredcites →https://doi.org/10.1021/ac60214a047openalex-extracted
Smoothing and Differentiation of Data by Simplified Least Squares Procedures.
inferredcites →https://doi.org/10.1056/nejmra1302901openalex-extracted
Fundamentals of Lung Auscultation
inferredcites →https://doi.org/10.1088/0967-3334/30/9/003openalex-extracted
The reliability of lung crackle characteristics in cystic fibrosis and bronchiectasis patients in a clinical setting
inferredcites →https://doi.org/10.1109/embc.2018.8512237openalex-extracted
Crackle and Breathing Phase Detection in Lung Sounds with Deep Bidirectional Gated Recurrent Neural Networks
inferredcites →https://doi.org/10.1109/iembs.1998.745812openalex-extracted
Automated detection of respiratory phases by acoustical means
inferredcites →https://doi.org/10.1109/jbhi.2021.3123353openalex-extracted
Comprehensive Analysis System for Automated Respiratory Cycle Segmentation and Crackle Peak Detection
inferredcites →https://doi.org/10.1111/resp.13173openalex-extracted
Novel assessment tool to detect breathing pattern disorder in patients with refractory asthma
inferredcites →https://doi.org/10.1136/thx.29.2.223openalex-extracted
Inspiratory crackles--early and late
inferredcites →https://doi.org/10.1148/ryai.2021200126openalex-extracted
Magician’s Corner: 9. Performance Metrics for Machine Learning Models
inferredcites →https://doi.org/10.1183/09031936.95.08111942openalex-extracted
Wheezes
inferredcites →https://doi.org/10.1371/journal.pone.0177926openalex-extracted
Automatic adventitious respiratory sound analysis: A systematic review
inferredcites →https://doi.org/10.1378/chest.120.4.1309openalex-extracted
Acoustic Imaging of the Human Chest
inferredcites →https://doi.org/10.1378/chest.73.3.333openalex-extracted
Crackles (Rales) in the Interstitial Pulmonary Diseases
inferredcites →https://doi.org/10.3233/thc-1998-6109openalex-extracted
A new method to detect crackles in respiratory sounds
inferredcites →https://doi.org/10.3390/s19081798openalex-extracted
Convolutional Neural Network for Breathing Phase Detection in Lung Sounds
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