Neural network analysis of pharyngeal sounds can detect obstructive upper respiratory disease in brachycephalic dogs

• Published in: PloS one Vol. 19; no. 8; p. e0305633
• Main Authors: McDonald, Andrew, Agarwal, Anurag, Williams, Ben, Liu, Nai-Chieh, Ladlow, Jane
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 22.08.2024; Public Library of Science (PLoS)
• Subjects: Accuracy; Acoustic properties; Airway Obstruction - diagnosis; Airway Obstruction - physiopathology; Airway Obstruction - veterinary; Algorithms; Animals; Auscultation; Biology and Life Sciences; Cardiac stress tests; Computer and Information Sciences; Craniosynostoses - diagnosis; Craniosynostoses - physiopathology; Craniosynostoses - veterinary; Cyanosis; Datasets; Diagnosis; Disease; Diseases; Dog Diseases - diagnosis; Dog Diseases - physiopathology; Dogs; Female; Health aspects; Life span; Machine learning; Male; Medical instruments; Medicine and Health Sciences; Morbidity; Network analysis; Neural networks; Neural Networks, Computer; Noise; People and Places; Pharynx; Pharynx - physiology; Pharynx - physiopathology; Physical Sciences; Recurrent neural networks; Research and Analysis Methods; Respiratory diseases; Respiratory organs; Respiratory Sounds - diagnosis; Respiratory Sounds - physiopathology; Respiratory tract diseases; Sensitivity analysis; Signal processing; Sleep disorders; Sound; Sounds; Throat; Veterinary medicine; France; United Kingdom > UK

Brachycephalic obstructive airway syndrome (BOAS) is a highly prevalent respiratory disease affecting popular short-faced dog breeds such as Pugs and French bulldogs. BOAS causes significant morbidity, leading to poor exercise tolerance, sleep disorders and a shortened lifespan. Despite its severity...