Automated Spectral Characterization of Wheezing in Asthmatic Children
Citations
216 citations
Cites background from "Automated Spectral Characterization..."
...- Infections such as croup (infection that generally affects infants from less than three years), whooping cough, laryngitis, acute tracheobronchilis - Laryngo-, tracheo-, or bronchomalacia - Laryngeal or tracheal tumours - Tracheal stenosis - Emotional laryngeal stenosis - Foreign body aspiration - Airway compression - Asthma: wheeze detection in asthma [34], identifi cation of nocturnal asthma [35],....
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...Non stationary signals linked to lungs’ air volume variations The static characterisation of the process evolves in respiratory cycle [34][76]....
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206 citations
Cites background from "Automated Spectral Characterization..."
...Due to the difference in the filter properties of trachea and chest [28], wheezes recorded from sensors located at P2–P5 were distinguished from those acquired from sensors located at P1, in order to separately estimate the sensitivity and specificity indices....
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169 citations
Cites methods from "Automated Spectral Characterization..."
...Angular accelerometers are used for rotary motion [1]....
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...[1]...
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92 citations
Cites result from "Automated Spectral Characterization..."
...40 ms, and this also fits the results in previous studies (over 150 ms) [23,25]....
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References
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