Search Results - "Respiratory organ sounds"

A novel minimally invasive approach in managing high-grade subglottic stenosis.

Authors: Rajendram, Nesha Mansor, Masaany Rahim, Norazila Abdul et al.

Source: University of Toronto Medical Journal. Jun2026, Vol. 103 Issue 2, p54-57. 4p.

Usefulness of lung sound data collection using Skeeper SM-300^® device: A pilot study.

Authors: Choi, Sue In Jeong, Yujin Jung, Won Jai et al.

Source: PLoS ONE. 5/13/2026, Vol. 21 Issue 5, p1-12. 12p.

A Robust Deep Learning Approach for COPD Automated Detection.

Authors: Xu, Shuting Deo, Ravinesh C. Prasad, Salvin S. et al.

Source: Sensors (14248220). May2026, Vol. 26 Issue 9, p2713. 25p.

Attentional Deep Learning with Inverse Transform Sampling for Robust Respiratory Sound Classification.

Authors: K. S., Hemanth T., Harisha Naik N., Kartik et al.

Source: Journal of Information Technology Management (JITM). 2026, Vol. 18 Issue 1, p123-140. 18p.

Acoustics of Breath Noises in Human Speech: Descriptive and Three-Dimensional Modeling Approaches.

Authors: Werner, Raphael Fuchs, Susanne Trouvain, Jürgen et al.

Source: Journal of Speech, Language & Hearing Research. Oct2024 Supplement, Vol. 67, p3947-3961. 15p.

Subject Terms: *Language & languages, *Data analysis, *Qualitative research, *Research methodology, Vocal cord physiology, Respiratory organ sounds, Vowels, Speech, Research funding, Structural models, Respiration, Sex distribution, Descriptive statistics, Magnetic resonance imaging, Physiological aspects of speech, Sound recordings, Statistics, Data analysis software, Human voice

Deep Learning-Based Classification of Common Lung Sounds via Auto-Detected Respiratory Cycles.

Authors: Engin, Mustafa Alptekin Uzun Arslan, Rukiye Senyer Yapici, İrem et al.

Source: Bioengineering (Basel). Feb2026, Vol. 13 Issue 2, p170. 19p.

Interpretable Acoustic Features from Wakefulness Tracheal Breathing for OSA Severity Assessment.

Authors: Alqudah, Ali Mohammad Ashraf, Walid Lithgow, Brian et al.

Source: Journal of Clinical Medicine. Feb2026, Vol. 15 Issue 3, p1081. 34p.

Awake Insights for Obstructive Sleep Apnea: Severity Detection Using Tracheal Breathing Sounds and Meta-Model Analysis.

Authors: Alqudah, Ali Mohammad Moussavi, Zahra

Source: Diagnostics (2075-4418). Feb2026, Vol. 16 Issue 3, p448. 27p.

Clinical Features, Laboratory and Radiological Findings, and Outcomes of Pneumocystis jirovecii Pneumonia in Immunocompetent Children.

Authors: Wen, Limei Huang, Li Ning, Junjie

Source: Balkan Medical Journal. May2026, Vol. 43 Issue 5, p285-287. 3p.

MFITN-E2NetGA: a transformer-based multi-level fusion framework for multi-class respiratory disease classification from lung sounds.

Authors: Jagadish, Maddirla Mohanty, Sachi Nandan

Source: Connection Science. Dec 2025, Vol. 37 Issue 1, p1-35. 35p.

Subjects: Respiratory diseases, Deep learning, Feature extraction, Physical acoustics, Respiratory organ sounds, Reliability in engineering, Automatic classification, Transformer models

What Can We Learn Four Years On? A Multi‐Centre Service Evaluation Exploring Symptoms, Functional Impact, Recovery and Care Pathways in Long Covid.

Authors: Lee, Cassie Williams, Paul Abrahams, Amiad et al.

Source: Health Expectations. Dec2025, Vol. 28 Issue 6, p1-21. 21p.

E-RespiNet: An LLM-ELECTRA driven triple-stream CNN with feature fusion for asthma classification.

Authors: Tawfik, Mohammed Fathi, Islam S. Nimbhore, Sunil S. et al.

Source: PLoS ONE. 11/4/2025, Vol. 20 Issue 11, p1-35. 35p.

Construction and Validation of an Automatic Segmentation Method for Respiratory Sound Time Labels.

Authors: Fan, Jian Ni, Haoran Chen, Xiulan et al.

Source: Clinical Respiratory Journal. Oct2025, Vol. 19 Issue 10, p1-9. 9p.

Acoustics of Electronic Stethoscopes for Health Professionals.

Authors: Atcherson, Samuel R. Rennert, Nancy J. Hein, Sarah J.

Source: American Journal of Audiology. Jun2026, Vol. 35 Issue 2, p760-770. 11p.

Subject Terms: *Research, Stethoscopes, Auscultation, Respiratory organ sounds, Human anatomical models, Noise, Acoustics, Wearable technology, Signal processing, Descriptive statistics, Assistive listening systems, Electronic amplifiers, Heart sounds

Integrating time-frequency features with deep learning for lung sound classification.

Authors: Chang, Su Yuan Markom, Marni Azira Choong, Zhi Sheng et al.

Source: International Journal of Electrical & Computer Engineering (2088-8708). Aug2025, Vol. 15 Issue 4, p3737-3747. 11p.

Subjects: Respiratory organ sounds, Feature extraction, Respiratory diseases, Deep learning, Spectrograms, Routine diagnostic tests

Artificial Intelligence Based Techniques to Detect and Classify Adventitious Respiratory Sounds: An in-Depth Review.

Authors: Bharti Arora, Vinay Singh, Maninder

Source: Archives of Computational Methods in Engineering. May2026, Vol. 33 Issue 4, p4627-4722. 96p.

Subjects: Artificial intelligence, Respiratory organ sounds, Deep learning, Machine learning, Respiratory diseases, Feature extraction, Ventilation monitoring, Classification algorithms

Pulmonary Aspergillosis Mimicking Metastatic RCC: A Postnephrectomy Diagnostic Consideration.

Authors: Peshin, Supriya Sohail, Ramsha Bashir, Faizan et al.

Source: Case Reports in Medicine. 9/6/2025, Vol. 2025, p1-6. 6p.

Enhanced Respiratory Sound Classification Using Deep Learning and Multi-Channel Auscultation.

Authors: Kim, Yeonkyeong Kim, Kyu Bom Leem, Ah Young et al.

Source: Journal of Clinical Medicine. 8/1/2025, Vol. 14 Issue 15, p5437. 16p.

The Role of Pulmonary Genetic Variations in the Pathogenesis of Pediatric Postinfectious Bronchiolitis Obliterans.

Authors: Tongal, Sedef Narin Kayhan, Gülsüm Yılmaz, Özge et al.

Source: Thoracic Research & Practice. Jul2025, Vol. 26 Issue 4, p191-196. 6p.

A Clinical‐Contextual Framework for Multimodal Tuberculosis Detection From Asynchronous CXR and Lung Sound Data Using Lesion‐Guided Pairing and Decision Fusion.

Authors: Candra, Yudi Roslidar, Roslidar Azhary, Mulkan et al.

Source: Applied Computational Intelligence & Soft Computing; 5/30/2026, Vol. 2026, p1-17, 17p