Results 11 to 20 of about 118,505 (295)
Triple-Classification of Respiratory Sounds Using Optimized S-Transform and Deep Residual Networks
IEEE Access, 2019 Digital respiratory sounds provide valuable information for telemedicine and smart diagnosis in an non-invasive way of pathological detection. As the typical continuous abnormal respiratory sound, wheeze is clinically correlated with asthma or chronic ...
Hai Chen +4 more
doaj +3 more sources
Detection of Respiratory Sounds Based on Wavelet Coefficients and Machine Learning
IEEE Access, 2020 Respiratory sounds reveal important information of the lungs of patients. However, the analysis of lung sounds depends significantly on the medical skills and diagnostic experience of the physicians and is a time-consuming process.
Fei Meng +4 more
doaj +3 more sources
Scientific Reports, 2021 Auscultation has been essential part of the physical examination; this is non-invasive, real-time, and very informative. Detection of abnormal respiratory sounds with a stethoscope is important in diagnosing respiratory diseases and providing first aid ...
Yoonjoo Kim +6 more
doaj +1 more source
COVID-19 Detection From Respiratory Sounds With Hierarchical Spectrogram Transformers. [PDF]
IEEE J Biomed Health InformAytekin I +7 more
europepmc +2 more sources
Respiratory modulation of heart sound morphology [PDF]
American Journal of Physiology-Heart and Circulatory Physiology, 2009 Heart sounds, the acoustic vibrations produced by the mechanical processes of the cardiac cycle, are modulated by respiratory activity. We have used computational techniques of cluster analysis and classification to study the effects of the respiratory phase and the respiratory resistive load on the temporal and morphological properties of the first ...
Guy, Amit +3 more
openaire +2 more sources
Low-Power Wearable Respiratory Sound Sensing [PDF]
Sensors, 2014 Building upon the findings from the field of automated recognition of respiratory sound patterns, we propose a wearable wireless sensor implementing on-board respiratory sound acquisition and classification, to enable continuous monitoring of symptoms, such as asthmatic wheezing.
Dinko Oletic +2 more
openaire +3 more sources
Wearables for Respiratory Sound Classification [PDF]
Journal of Physics: Conference Series, 2021 Abstract Respiratory disorders being one of the leading causes of deaths in the world, auscultation is one of the most popular methods used in early diagnosis and prevention, but this method faces drawbacks due to human errors. Hence the importance of an automated diagnosis method is being considered.
R. Shivapathy +2 more
openaire +1 more source
PLoS ONE, 2022 Computerized auscultation of lung sounds is gaining importance today with the availability of lung sounds and its potential in overcoming the limitations of traditional diagnosis methods for respiratory diseases.
Jane Saldanha +5 more
doaj +1 more source
Convolutional neural network for breathing phase detection in lung sounds [PDF]
, 2019 We applied deep learning to create an algorithm for breathing phase detection in lung sound recordings, and we compared the breathing phases detected by the algorithm and manually annotated by two experienced lung sound researchers.
Aviles-Solis, Juan Carlos +5 more
core +2 more sources
Lung lobe torsion in adult and juvenile pugs [PDF]
, 2018 This cases series of 13 pugs with lung lobe torsion (LLT) is the largest case series of pugs in the literature and the first to compare dogs presenting before and after 12 months of age.
Adamantos, S +3 more
core +2 more sources