This paper proposes accurate respiratory rate estimation using nasal breath sound recordings from a smartphone. Specifically, the proposed method detects nasal airflow using a built-in smartphone microphone or a headset microphone placed underneath the nose. In addition, we also examined if tracheal breath sounds recorded by the built-in microphone of a smartphone placed on the paralaryngeal sp...

A2-year-old cachectic cross-breed gelding was admitted toVeterinary Teaching Hospital of University of Tehran followingthe onset of a marked respiratory distress, coughing and ventraledema. Clinical examinations indicated harsh respiratory andexpiratory sounds as well as jugular vein distention. Therespiratory and heart rates were 35/min and 60 bpm, respectively.Agrade III/IV pansystolic murmur...

a2-year-old cachectic cross-breed gelding was admitted toveterinary teaching hospital of university of tehran followingthe onset of a marked respiratory distress, coughing and ventraledema. clinical examinations indicated harsh respiratory andexpiratory sounds as well as jugular vein distention. therespiratory and heart rates were 35/min and 60 bpm, respectively.agrade iii/iv pansystolic murmur...

Intelligent systems are transforming the world, as well our healthcare system. We propose a deep learning-based cough sound classification model that can distinguish between children with healthy versus pathological coughs such asthma, upper respiratory tract infection (URTI), and lower (LRTI). To train neural network model, we collected new dataset of sounds, labelled clinician’s diagnosis. Th...

In this paper, a classification method for respiratory sounds (RSs) in patients with asthma and in healthy subjects is presented. Wavelet transform is applied to a window containing 256 samples. Elements of the feature vectors are obtained from the wavelet coefficients. The best feature elements are selected by using dynamic programming. Grow and Learn (GAL) neural network is used for the class...